A Business Intelligence Analyst begins their day by reviewing automated dashboard alerts and updating executive reports with the latest performance metrics. They spend significant time querying databases using SQL and specialized BI tools to extract relevant business data, then clean and analyze this information to identify trends and anomalies. The afternoon often involves creating visualizations and presentations for stakeholder meetings, where they interpret complex data patterns and provide strategic recommendations. They collaborate with IT teams to maintain data pipelines and with business units to understand evolving analytical needs. The day concludes with documenting findings and ensuring data quality standards are met across all reporting systems.
Individuals who excel as Business Intelligence Analysts possess strong analytical minds with exceptional attention to detail and the ability to see both forest and trees in complex datasets. They demonstrate high levels of dependability and integrity when handling sensitive business information, while maintaining curiosity about market dynamics and business operations. Successful analysts combine technical proficiency with excellent communication skills, enabling them to translate complex statistical findings into compelling business narratives. They thrive on solving puzzles, enjoy working with technology, and possess the patience to methodically verify data accuracy before making recommendations.
Business Intelligence Analysts face moderate automation risk as AI tools increasingly handle routine data extraction and basic report generation tasks. However, the core activities of interpreting information meaning for stakeholders, conducting strategic analysis, and synthesizing complex business intelligence require human judgment and contextual understanding that resist full automation. The profession is evolving toward higher-value activities like predictive analytics and strategic consultation, where human expertise in business context and stakeholder communication remains irreplaceable.
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| TERM | COUNT | FREQ | BAR | SOURCE ATTRIBUTION |
|---|---|---|---|---|
| business | 92 | 0.0248 | wikipedia 66% inference 22% | |
| intelligence | 63 | 0.0170 | wikipedia 71% inference 16% | |
| tendency | 42 | 0.0113 | onet dimensi 100% | |
| others | 40 | 0.0108 | onet dimensi 95% onet tasks 2% | |
| analytics | 27 | 0.0073 | wikipedia 89% inference 11% | |
| management | 24 | 0.0065 | wikipedia 62% onet dimensi 29% | |
| equipment | 23 | 0.0062 | onet dimensi 100% | |
| analysis | 21 | 0.0057 | wikipedia 52% inference 24% | |
| tools | 17 | 0.0046 | onet tasks 29% onet dimensi 29% | |
| market | 16 | 0.0043 | dwas 38% wikipedia 38% | |
| decision | 16 | 0.0043 | wikipedia 75% onet dimensi 12% | |
| principles | 16 | 0.0043 | onet dimensi 100% | |
| reporting | 14 | 0.0038 | wikipedia 57% inference 29% | |
| technology | 13 | 0.0035 | wikipedia 38% onet dimensi 31% | |
| includes | 13 | 0.0035 | onet dimensi 92% wikipedia 8% | |
| techniques | 13 | 0.0035 | onet dimensi 77% wikipedia 23% | |
| control | 13 | 0.0035 | onet dimensi 92% wikipedia 8% | |
| analytical | 13 | 0.0035 | wikipedia 54% inference 38% | |
| unstructured | 13 | 0.0035 | wikipedia 100% | |
| technical | 12 | 0.0032 | inference 42% onet dimensi 25% | |
| problems | 12 | 0.0032 | onet dimensi 75% wikipedia 25% | |
| strategic | 12 | 0.0032 | wikipedia 50% inference 42% | |
| customer | 12 | 0.0032 | dwas 58% onet dimensi 33% | |
| objects | 12 | 0.0032 | onet dimensi 100% | |
| activities | 12 | 0.0032 | onet dimensi 75% inference 17% | |
| financial | 11 | 0.0030 | wikipedia 45% onet dimensi 27% | |
| needs | 11 | 0.0030 | onet dimensi 73% onet tasks 9% | |
| design | 11 | 0.0030 | onet dimensi 55% onet tasks 18% | |
| performance | 11 | 0.0030 | onet dimensi 64% wikipedia 27% | |
| procedures | 11 | 0.0030 | onet dimensi 73% dwas 27% |
Provenance Window — Full Source Record · 15-2051.01 · Business Intelligence Analysts 7 source blocks · click to expand
[Core] [22% incumbents] Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. DWAs: Prepare analytical reports. [Core] [22% incumbents] Maintain or update business intelligence tools, databases, dashboards, systems, or methods. DWAs: Update computer database information. [Core] [22% incumbents] Manage timely flow of business intelligence information to users. DWAs: Develop information communication procedures. [Core] [22% incumbents] Identify and analyze industry or geographic trends with business strategy implications. DWAs: Analyze market or customer related data. [Core] [22% incumbents] Document specifications for business intelligence or information technology reports, dashboards, or other outputs. DWAs: Develop information communication procedures. | Document operational procedures. [Core] [22% incumbents] Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. DWAs: Analyze market or customer related data. [Core] [22% incumbents] Conduct or coordinate tests to ensure that intelligence is consistent with defined needs. DWAs: Collect data about customer needs. [Core] [22% incumbents] Synthesize current business intelligence or trend data to support recommendations for action. DWAs: Analyze market or customer related data. [Core] [22% incumbents] Analyze competitive market strategies through analysis of related product, market, or share trends. DWAs: Analyze market or customer related data. [Core] [22% incumbents] Identify or monitor current and potential customers, using business intelligence tools. DWAs: Analyze market or customer related data. [Core] [22% incumbents] Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends. DWAs: Update knowledge about emerging industry or technology trends. [Core] [22% incumbents] Maintain library of model documents, templates, or other reusable knowledge assets. DWAs: Develop models of information or communications systems. [Core] [22% incumbents] Create or review technical design documentation to ensure the accurate development of reporting solutions. DWAs: Document technical specifications or requirements. [Core] [22% incumbents] Analyze technology trends to identify markets for future product development or to improve sales of existing products. DWAs: Analyze market or customer related data. [Core] [21% incumbents] Provide technical support for existing reports, dashboards, or other tools. DWAs: Provide technical support for software maintenance or use. [Core] [21% incumbents] Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. DWAs: Create databases to store electronic data. [Core] [21% incumbents] Disseminate information regarding tools, reports, or metadata enhancements. DWAs: Report information to managers or other personnel.
--- SKILLS --- Reading Comprehension (imp:4.00 lvl:4.25) — Understanding written sentences and paragraphs in work-related documents. Active Listening (imp:3.88 lvl:4.00) — Giving full attention to what other people are saying, taking time to understand Speaking (imp:3.88 lvl:4.00) — Talking to others to convey information effectively. Critical Thinking (imp:3.88 lvl:4.25) — Using logic and reasoning to identify the strengths and weaknesses of alternativ Active Learning (imp:3.88 lvl:4.12) — Understanding the implications of new information for both current and future pr Writing (imp:3.75 lvl:4.00) — Communicating effectively in writing as appropriate for the needs of the audienc Mathematics (imp:3.50 lvl:3.88) — Using mathematics to solve problems. Monitoring (imp:3.12 lvl:3.25) — Monitoring/Assessing performance of yourself, other individuals, or organization Learning Strategies (imp:3.00 lvl:3.00) — Selecting and using training/instructional methods and procedures appropriate fo Science (imp:1.62 lvl:0.75) — Using scientific rules and methods to solve problems. --- KNOWLEDGE --- Computers and Electronics (imp:4.29 lvl:5.41) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput Mathematics (imp:3.82 lvl:4.67) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl English Language (imp:3.77 lvl:4.41) — Knowledge of the structure and content of the English language including the mea Administration and Management (imp:3.14 lvl:4.14) — Knowledge of business and management principles involved in strategic planning, Customer and Personal Service (imp:3.10 lvl:3.76) — Knowledge of principles and processes for providing customer and personal servic Economics and Accounting (imp:3.00 lvl:3.59) — Knowledge of economic and accounting principles and practices, the financial mar Communications and Media (imp:2.59 lvl:2.95) — Knowledge of media production, communication, and dissemination techniques and m Education and Training (imp:2.50 lvl:3.32) — Knowledge of principles and methods for curriculum and training design, teaching Sales and Marketing (imp:2.45 lvl:3.14) — Knowledge of principles and methods for showing, promoting, and selling products Administrative (imp:2.43 lvl:3.64) — Knowledge of administrative and office procedures and systems such as word proce Design (imp:2.43 lvl:2.50) — Knowledge of design techniques, tools, and principles involved in production of Engineering and Technology (imp:2.36 lvl:2.77) — Knowledge of the practical application of engineering science and technology. Th Sociology and Anthropology (imp:2.23 lvl:2.59) — Knowledge of group behavior and dynamics, societal trends and influences, human Geography (imp:2.23 lvl:3.45) — Knowledge of principles and methods for describing the features of land, sea, an Psychology (imp:2.18 lvl:2.41) — Knowledge of human behavior and performance; individual differences in ability, Law and Government (imp:2.14 lvl:2.36) — Knowledge of laws, legal codes, court procedures, precedents, government regulat Personnel and Human Resources (imp:1.91 lvl:2.23) — Knowledge of principles and procedures for personnel recruitment, selection, tra Production and Processing (imp:1.75 lvl:1.57) — Knowledge of raw materials, production processes, quality control, costs, and ot History and Archeology (imp:1.73 lvl:1.77) — Knowledge of historical events and their causes, indicators, and effects on civi Public Safety and Security (imp:1.55 lvl:1.00) — Knowledge of relevant equipment, policies, procedures, and strategies to promote Telecommunications (imp:1.55 lvl:1.14) — Knowledge of transmission, broadcasting, switching, control, and operation of te Fine Arts (imp:1.50 lvl:1.00) — Knowledge of the theory and techniques required to compose, produce, and perform Philosophy and Theology (imp:1.45 lvl:1.23) — Knowledge of different philosophical systems and religions. This includes their Foreign Language (imp:1.36 lvl:0.77) — Knowledge of the structure and content of a foreign (non-English) language inclu Medicine and Dentistry (imp:1.18 lvl:0.45) — Knowledge of the information and techniques needed to diagnose and treat human i Therapy and Counseling (imp:1.18 lvl:0.32) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r Transportation (imp:1.18 lvl:0.55) — Knowledge of principles and methods for moving people or goods by air, rail, sea Food Production (imp:1.14 lvl:0.55) — Knowledge of techniques and equipment for planting, growing, and harvesting food Building and Construction (imp:1.14 lvl:0.45) — Knowledge of materials, methods, and the tools involved in the construction or r Mechanical (imp:1.14 lvl:0.32) — Knowledge of machines and tools, including their designs, uses, repair, and main Physics (imp:1.09 lvl:0.27) — Knowledge and prediction of physical principles, laws, their interrelationships, Chemistry (imp:1.09 lvl:0.27) — Knowledge of the chemical composition, structure, and properties of substances a Biology (imp:1.09 lvl:0.36) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd --- ABILITIES --- Oral Comprehension (imp:4.00 lvl:4.75) — The ability to listen to and understand information and ideas presented through Written Comprehension (imp:4.00 lvl:4.62) — The ability to read and understand information and ideas presented in writing. Oral Expression (imp:4.00 lvl:4.75) — The ability to communicate information and ideas in speaking so others will unde Written Expression (imp:4.00 lvl:4.12) — The ability to communicate information and ideas in writing so others will under Inductive Reasoning (imp:4.00 lvl:4.38) — The ability to combine pieces of information to form general rules or conclusion Deductive Reasoning (imp:3.75 lvl:4.50) — The ability to apply general rules to specific problems to produce answers that Information Ordering (imp:3.62 lvl:4.00) — The ability to arrange things or actions in a certain order or pattern according Category Flexibility (imp:3.62 lvl:4.00) — The ability to generate or use different sets of rules for combining or grouping Mathematical Reasoning (imp:3.50 lvl:3.75) — The ability to choose the right mathematical methods or formulas to solve a prob Speech Clarity (imp:3.50 lvl:3.50) — The ability to speak clearly so others can understand you. Fluency of Ideas (imp:3.38 lvl:3.88) — The ability to come up with a number of ideas about a topic (the number of ideas Speech Recognition (imp:3.38 lvl:3.38) — The ability to identify and understand the speech of another person. Problem Sensitivity (imp:3.25 lvl:3.50) — The ability to tell when something is wrong or is likely to go wrong. It does no Flexibility of Closure (imp:3.25 lvl:3.12) — The ability to identify or detect a known pattern (a figure, object, word, or so Originality (imp:3.12 lvl:3.25) — The ability to come up with unusual or clever ideas about a given topic or situa Number Facility (imp:3.12 lvl:3.62) — The ability to add, subtract, multiply, or divide quickly and correctly. Near Vision (imp:3.12 lvl:3.50) — The ability to see details at close range (within a few feet of the observer). Speed of Closure (imp:2.75 lvl:2.88) — The ability to quickly make sense of, combine, and organize information into mea Selective Attention (imp:2.75 lvl:3.00) — The ability to concentrate on a task over a period of time without being distrac Far Vision (imp:2.62 lvl:2.62) — The ability to see details at a distance. Perceptual Speed (imp:2.50 lvl:2.75) — The ability to quickly and accurately compare similarities and differences among Visualization (imp:2.25 lvl:2.00) — The ability to imagine how something will look after it is moved around or when Time Sharing (imp:2.12 lvl:2.12) — The ability to shift back and forth between two or more activities or sources of Memorization (imp:2.00 lvl:2.25) — The ability to remember information such as words, numbers, pictures, and proced Trunk Strength (imp:1.75 lvl:1.12) — The ability to use your abdominal and lower back muscles to support part of the Wrist-Finger Speed (imp:1.62 lvl:0.62) — The ability to make fast, simple, repeated movements of the fingers, hands, and Visual Color Discrimination (imp:1.62 lvl:0.88) — The ability to match or detect differences between colors, including shades of c Hearing Sensitivity (imp:1.62 lvl:0.75) — The ability to detect or tell the differences between sounds that vary in pitch Auditory Attention (imp:1.62 lvl:0.75) — The ability to focus on a single source of sound in the presence of other distra Finger Dexterity (imp:1.50 lvl:0.50) — The ability to make precisely coordinated movements of the fingers of one or bot Depth Perception (imp:1.38 lvl:0.38) — The ability to judge which of several objects is closer or farther away from you Dynamic Strength (imp:1.25 lvl:0.25) — The ability to exert muscle force repeatedly or continuously over time. This inv Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher Arm-Hand Steadiness (imp:1.00) — The ability to keep your hand and arm steady while moving your arm or while hold Manual Dexterity (imp:1.00) — The ability to quickly move your hand, your hand together with your arm, or your Control Precision (imp:1.00) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an Reaction Time (imp:1.00) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs. Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects. Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs. Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta Night Vision (imp:1.00) — The ability to see under low-light conditions. Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting. Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated. --- WORK ACTIVITIES --- Analyzing Data or Information (imp:4.73 lvl:6.09) — Identifying the underlying principles, reasons, or facts of information by break Working with Computers (imp:4.68 lvl:4.86) — Using computers and computer systems (including hardware and software) to progra Processing Information (imp:4.64 lvl:5.73) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying Interpreting the Meaning of Information for Others (imp:4.55 lvl:5.36) — Translating or explaining what information means and how it can be used. Getting Information (imp:4.50 lvl:5.41) — Observing, receiving, and otherwise obtaining information from all relevant sour Communicating with Supervisors, Peers, or Subordinates (imp:4.23 lvl:5.23) — Providing information to supervisors, co-workers, and subordinates by telephone, Updating and Using Relevant Knowledge (imp:4.05 lvl:5.36) — Keeping up-to-date technically and applying new knowledge to your job. Organizing, Planning, and Prioritizing Work (imp:3.95 lvl:4.82) — Developing specific goals and plans to prioritize, organize, and accomplish your Identifying Objects, Actions, and Events (imp:3.91 lvl:4.73) — Identifying information by categorizing, estimating, recognizing differences or Making Decisions and Solving Problems (imp:3.82 lvl:4.59) — Analyzing information and evaluating results to choose the best solution and sol Thinking Creatively (imp:3.77 lvl:5.05) — Developing, designing, or creating new applications, ideas, relationships, syste Establishing and Maintaining Interpersonal Relationships (imp:3.64 lvl:4.55) — Developing constructive and cooperative working relationships with others, and m Documenting/Recording Information (imp:3.50 lvl:3.95) — Entering, transcribing, recording, storing, or maintaining information in writte Providing Consultation and Advice to Others (imp:3.41 lvl:4.86) — Providing guidance and expert advice to management or other groups on technical, Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.27 lvl:3.82) — Estimating sizes, distances, and quantities; or determining time, costs, resourc Evaluating Information to Determine Compliance with Standards (imp:3.24 lvl:3.68) — Using relevant information and individual judgment to determine whether events o Developing Objectives and Strategies (imp:3.05 lvl:3.68) — Establishing long-range objectives and specifying the strategies and actions to Communicating with People Outside the Organization (imp:3.00 lvl:4.09) — Communicating with people outside the organization, representing the organizatio Training and Teaching Others (imp:2.95 lvl:4.00) — Identifying the educational needs of others, developing formal educational or tr Coaching and Developing Others (imp:2.95 lvl:4.14) — Identifying the developmental needs of others and coaching, mentoring, or otherw Judging the Qualities of Objects, Services, or People (imp:2.91 lvl:3.76) — Assessing the value, importance, or quality of things or people. Scheduling Work and Activities (imp:2.77 lvl:3.55) — Scheduling events, programs, and activities, as well as the work of others. Monitoring Processes, Materials, or Surroundings (imp:2.76 lvl:3.29) — Monitoring and reviewing information from materials, events, or the environment, Coordinating the Work and Activities of Others (imp:2.73 lvl:3.41) — Getting members of a group to work together to accomplish tasks. Developing and Building Teams (imp:2.68 lvl:3.09) — Encouraging and building mutual trust, respect, and cooperation among team membe Guiding, Directing, and Motivating Subordinates (imp:2.68 lvl:3.41) — Providing guidance and direction to subordinates, including setting performance Resolving Conflicts and Negotiating with Others (imp:2.55 lvl:3.18) — Handling complaints, settling disputes, and resolving grievances and conflicts, Performing Administrative Activities (imp:2.50 lvl:2.82) — Performing day-to-day administrative tasks such as maintaining information files Selling or Influencing Others (imp:2.41 lvl:2.55) — Convincing others to buy merchandise/goods or to otherwise change their minds or Monitoring and Controlling Resources (imp:2.09 lvl:2.14) — Monitoring and controlling resources and overseeing the spending of money. Staffing Organizational Units (imp:1.90 lvl:2.23) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ Assisting and Caring for Others (imp:1.86 lvl:1.41) — Providing personal assistance, medical attention, emotional support, or other pe Performing for or Working Directly with the Public (imp:1.59 lvl:1.27) — Performing for people or dealing directly with the public. This includes serving Inspecting Equipment, Structures, or Materials (imp:1.23 lvl:0.55) — Inspecting equipment, structures, or materials to identify the cause of errors o Performing General Physical Activities (imp:1.09 lvl:0.09) — Performing general physical activities includes doing activities that require co Handling and Moving Objects (imp:1.09 lvl:0.18) — Using hands and arms in handling, installing, positioning, and moving materials, Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:1.09 lvl:0.23) — Providing documentation, detailed instructions, drawings, or specifications to t Controlling Machines and Processes (imp:1.05 lvl:0.09) — Using either control mechanisms or direct physical activity to operate machines Operating Vehicles, Mechanized Devices, or Equipment (imp:1.05 lvl:0.09) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s Repairing and Maintaining Electronic Equipment (imp:1.05 lvl:0.05) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines, Repairing and Maintaining Mechanical Equipment (imp:1.00) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an --- WORK STYLES --- Dependability (imp:4.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work. Attention to Detail (imp:2.77) — A tendency to be detail-oriented, organized, and thorough in completing work. Integrity (imp:2.32) — A tendency to be honest and ethical at work. Dependability (imp:2.19) — A tendency to be reliable, responsible, and consistent in meeting work-related o Achievement Orientation (imp:2.08) — A tendency to establish and maintain personally challenging work-related goals, Integrity (imp:2.00) — A tendency to be honest and ethical at work. Tolerance for Ambiguity (imp:1.87) — A tendency to be comfortable with ambiguity and uncertainty at work. Intellectual Curiosity (imp:1.64) — A tendency to seek out and acquire new work-related knowledge and obtain a deep Cautiousness (imp:1.59) — A tendency to be careful, deliberate, and risk-avoidant when making work-related Adaptability (imp:1.51) — A tendency to be open to and comfortable with change, new experiences, or ideas Perseverance (imp:1.49) — A tendency to exhibit determination and resolve to perform or complete tasks in Innovation (imp:1.47) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on Initiative (imp:1.38) — A tendency to be proactive and take on extra responsibilities and tasks that may Self-Confidence (imp:1.38) — A tendency to believe in one's work-related capabilities and ability to control Stress Tolerance (imp:1.22) — A tendency to cope and function effectively in stressful situations at work. Self-Control (imp:1.22) — A tendency to remain calm and composed and to manage emotions effectively in res Achievement Orientation (imp:1.00) — A tendency to establish and maintain personally challenging work-related goals, Social Orientation (imp:0.72) — A tendency to seek out, enjoy, and be energized by social interaction at work. Sincerity (imp:0.63) — A tendency to be genuine and sincere in interactions with others at work, withou Leadership Orientation (imp:0.38) — A tendency to lead, take charge, offer opinions, and provide direction at work. Humility (imp:0.37) — A tendency to be modest and humble when interacting with others at work. Cooperation (imp:0.27) — A tendency to be pleasant, helpful, and willing to assist others at work. Empathy (imp:0.16) — A tendency to show concern for others and be sensitive to others' needs and feel Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on Intellectual Curiosity () — A tendency to seek out and acquire new work-related knowledge and obtain a deep Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work. Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work. Humility () — A tendency to be modest and humble when interacting with others at work. Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work. Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work. Cautiousness () — A tendency to be careful, deliberate, and risk-avoidant when making work-related Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work. Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res Optimism (imp:-0.14) — A tendency to exhibit a positive attitude and positive emotions at work, even un --- TRANSFERABLE SKILLS --- Judgment and Decision Making (imp:3.62 lvl:4.00) — Considering the relative costs and benefits of potential actions to choose the m Complex Problem Solving (imp:3.38 lvl:3.75) — Identifying complex problems and reviewing related information to develop and ev Systems Analysis (imp:3.12 lvl:3.75) — Determining how a system should work and how changes in conditions, operations, Systems Evaluation (imp:3.12 lvl:3.75) — Identifying measures or indicators of system performance and the actions needed Time Management (imp:3.12 lvl:3.00) — Managing one's own time and the time of others. Coordination (imp:3.00 lvl:3.00) — Adjusting actions in relation to others' actions. Instructing (imp:3.00 lvl:3.00) — Teaching others how to do something. Social Perceptiveness (imp:2.88 lvl:2.88) — Being aware of others' reactions and understanding why they react as they do. Persuasion (imp:2.88 lvl:3.00) — Persuading others to change their minds or behavior. Service Orientation (imp:2.88 lvl:2.88) — Actively looking for ways to help people. Negotiation (imp:2.50 lvl:2.88) — Bringing others together and trying to reconcile differences. Programming (imp:2.50 lvl:2.50) — Writing computer programs for various purposes. Management of Personnel Resources (imp:2.12 lvl:2.00) — Motivating, developing, and directing people as they work, identifying the best Quality Control Analysis (imp:2.00 lvl:1.50) — Conducting tests and inspections of products, services, or processes to evaluate Operations Analysis (imp:1.88 lvl:1.62) — Analyzing needs and product requirements to create a design. Management of Financial Resources (imp:1.88 lvl:1.75) — Determining how money will be spent to get the work done, and accounting for the Operations Monitoring (imp:1.75 lvl:1.12) — Watching gauges, dials, or other indicators to make sure a machine is working pr Management of Material Resources (imp:1.75 lvl:1.25) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi Technology Design (imp:1.62 lvl:0.88) — Generating or adapting equipment and technology to serve user needs. Operation and Control (imp:1.38 lvl:0.38) — Controlling operations of equipment or systems. Equipment Selection (imp:1.00) — Determining the kind of tools and equipment needed to do a job. Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications. Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o Troubleshooting (imp:1.00) — Determining causes of operating errors and deciding what to do about it. Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
--- NATIONAL WAGES --- total_employment : 262,440 annual_median : $120,230 annual_pct10 : $67,240 annual_pct25 : $85,660 annual_pct75 : $158,880 annual_pct90 : $199,130 annual_mean : $126,800 hourly_median : $57.80 --- GEOGRAPHIC DISPERSION --- highest_state : Washington ($163,350) lowest_state : Mississippi ($69,490) dispersion_ratio : 2.351x --- TOP STATES BY WAGE (50 total) --- Professional, Scientific, and Technical Services emp: 69,730 median: $ 126,730 Finance and Insurance emp: 46,730 median: $ 124,770 Information emp: 32,410 median: $ 141,440 Management of Companies and Enterprises emp: 28,620 median: $ 128,050 Administrative and Support and Waste Management and Remediation Services emp: 15,570 median: $ 100,790 Health Care and Social Assistance emp: 15,410 median: $ 98,030 Wholesale Trade emp: 11,710 median: $ 119,990 Manufacturing emp: 10,400 median: $ 117,680 Educational Services emp: 10,350 median: $ 83,830 Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp: 5,940 median: $ 100,970 --- TOP INDUSTRIES BY EMPLOYMENT (19 total) --- Professional, Scientific, and Technical Services emp: 69,730 median: $ 126,730 Finance and Insurance emp: 46,730 median: $ 124,770 Information emp: 32,410 median: $ 141,440 Management of Companies and Enterprises emp: 28,620 median: $ 128,050 Administrative and Support and Waste Management and Remediation Services emp: 15,570 median: $ 100,790 Health Care and Social Assistance emp: 15,410 median: $ 98,030 Wholesale Trade emp: 11,710 median: $ 119,990 Manufacturing emp: 10,400 median: $ 117,680 Educational Services emp: 10,350 median: $ 83,830 Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp: 5,940 median: $ 100,970
exact_match_status : found matched_title : Business intelligence match_score : 0.8235 wikidata_qid : Q3353185 word_count : 2,000 wikipedia_url : https://en.wikipedia.org/wiki/Business_intelligence license : CC BY-SA 4.0 fetched_at : 2026-06-02T20:27:26.716438Z --- WIKIPEDIA FULL TEXT --- Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information to inform business strategies and business operations. Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help organizations identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights is assumed to potentially provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals, and directions at the broadest level. In all cases, business intelligence is considered most effective when it combines data from the market in which a company operates (external data) with data from internal company sources, such as financial and operational information. When integrated, external and internal data provide a comprehensive view that creates ‘intelligence’ not possible from any single data source alone. Among their many uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments, and to gauge the impact of marketing efforts. BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW" or as "BIDW". A data warehouse contains a copy of analytical data that facilitates decision support. == History == The earliest known use of the term business intelligence is in Richard Millar Devens' Cyclopædia of Commercial and Business Anecdotes (1865). Devens used the term to describe how the banker Sir Henry Furnese gained profit by receiving and acting upon information about his environment, prior to his competitors: Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence. The news of the many battles fought was thus received first by him, and the fall of Namur added to his profits, owing to his early receipt of the news. The ability to collect and react accordingly based on the information retrieved, Devens says, is central to business intelligence. When Hans Peter Luhn, a researcher at IBM, used the term business intelligence in an article published in 1958, he employed the Webster's Dictionary definition of intelligence: "the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal." In 1989, Howard Dresner (later a Gartner analyst) proposed business intelligence as an umbrella term to describe "concepts and methods to improve business decision making by using fact-based support systems." It was not until the late 1990s that this usage was widespread. == Definition == According to Solomon Negash and Paul Gray, business intelligence (BI) can be defined as systems that combine: Data gathering Data storage Knowledge management with analysis to evaluate complex corporate and competitive information for presentation to planners and decision makers, with the objective of improving the timeliness and the quality of the input to the decision process." According to Forrester Research, business intelligence is "a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making." Under this definition, business intelligence encompasses information management (data integration, data quality, data warehousing, master-data management, text- and content-analytics, et al.). Therefore, Forrester refers to data preparation and data usage as two separate but closely linked segments of the business-intelligence architectural stack. Some elements of business intelligence are: Multidimensional aggregation and allocation Denormalization, tagging, and standardization Realtime reporting with analytical alert A method of interfacing with unstructured data sources Group consolidation, budgeting, and rolling forecasts Statistical inference and probabilistic simulation Key performance indicators optimization Version control and process management Open item management Forrester distinguishes this from the business-intelligence market, which is "just the top layers of the BI architectural stack, such as reporting, analytics, and dashboards." === Compared with competitive intelligence === Though the term business intelligence is sometimes a synonym for competitive intelligence (because they both support decision making), BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes, and disseminates information with a topical focus on company competitors. If understood broadly, competitive intelligence can be considered as a subset of business intelligence. === Compared with business analytics === Business intelligence and business analytics are sometimes used interchangeably, but there are alternate definitions. Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and optimization, rather than the reporting functionality. == Unstructured data == Business operations can generate a very large amount of data in the form of emails, memos, notes from call centers, news, user groups, chats, reports, web pages, presentations, image files, video files, and marketing material. According to Merrill Lynch, more than 85% of all business information exists in these forms; a company might only use such a document a single time. Because of the way it is produced and stored, this information is either unstructured or semi-structured. The management of semi-structured data is an unsolved problem in the information technology industry. According to projections from Gartner (2003), white-collar workers spend 30–40% of their time searching, finding, and assessing unstructured data. BI uses both structured and unstructured data. The former is easy to search, and the latter contains a large quantity of the information needed for analysis and decision-making. Because of the difficulty of properly searching, finding, and assessing unstructured or semi-structured data, organizations may not draw upon these vast reservoirs of information, which could influence a particular decision, task, or project. This can ultimately lead to poorly informed decision-making. Therefore, when designing a business intelligence/DW solution, the specific problems associated with semi-structured and unstructured data must be accommodated, as well as those associated with structured data. === Limitations of semi-structured and unstructured data === There are several challenges to developing BI with semi-structured data. According to Inmon & Nesavich, some of those are: Physically accessing unstructured textual data – unstructured data is stored in a huge variety of formats. Terminology – Among researchers and analysts, there is a need to develop sta --- SEMANTIC NEIGHBORS (5) --- Title: Open-source intelligence (similarity: 0.5556) URL: https://en.wikipedia.org/wiki/Open-source_intelligence QID: Q1059178 Extract: Open-source intelligence (OSINT) is the collection and analysis of data gathered from open sources to produce actionable intelligence. OSINT is primarily used in national security, law enforcement, and business intelligence functions and is of value to analysts who use non-sensitive intelligence in Title: Larry C. Johnson (similarity: 0.0870) URL: https://en.wikipedia.org/wiki/Larry_C._Johnson QID: Q6490041 Extract: Larry C. Johnson is an American blogger, political commentator and former analyst at the Central Intelligence Agency. He is the co-owner and CEO of Business Exposure Reduction Group (BERG) Associates, LLC, and the co-founder of Veteran Intelligence Professionals for Sanity (VIPS). Title: Texas Instruments Business Analyst (similarity: 0.5000) URL: https://en.wikipedia.org/wiki/Texas_Instruments_Business_Analyst QID: Q7707765 Extract: The Texas Instruments Business Analyst series is a product line of financial calculators introduced in 1976. BA calculators provide time value of money functions and are widely used in accounting and other financial applications. Though originally designed specifically for financial use, current mod Title: Systems analyst (similarity: 0.5333) URL: https://en.wikipedia.org/wiki/Systems_analyst QID: Q942569 Extract: A systems analyst, also known as business technology analyst, is an information technology (IT) professional who specializes in analyzing, designing and implementing information systems. Systems analysts assess the suitability of information systems in terms of their intended outcomes and liaise wit Title: Analyst (similarity: 0.3784) URL: https://en.wikipedia.org/wiki/Analyst QID: Q5669212 Extract: An analyst is an individual who performs analysis of a topic. The term may refer to:
model_pass1 : claude-sonnet-4-20250514
model_pass2 : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes : Strong data alignment across O*NET activities, skills, and knowledge areas with clear Wikipedia match and comprehensive wage/employment data from BLS OEWS May 2025.
inferred_at : 2026-06-03T14:19:56.555241+00:00
tokens_input : 4,462
tokens_output : 4,271
cost_usd : $0.047018
wikipedia_used : True
wikipedia_title : Business intelligence
wikipedia_note : The Wikipedia definition aligns well with O*NET data, describing BI as strategies and technologies for data analysis and management to inform business operations. The semantic neighbors include related analytical roles like systems analysts, supporting the occupational classification.
--- PROSE FIELDS ---
ROLE SUMMARY:
Business Intelligence Analysts transform raw data into actionable insights that drive strategic business decisions, serving as the critical bridge between technical data systems and executive leadership. They design and maintain sophisticated reporting systems, analyze market trends, and generate financial intelligence that guides organizational strategy. These professionals combine technical expertise in data analysis tools with deep business acumen to identify patterns and opportunities in complex datasets.
DAY IN THE LIFE:
A Business Intelligence Analyst begins their day by reviewing automated dashboard alerts and updating executive reports with the latest performance metrics. They spend significant time querying databases using SQL and specialized BI tools to extract relevant business data, then clean and analyze this information to identify trends and anomalies. The afternoon often involves creating visualizations and presentations for stakeholder meetings, where they interpret complex data patterns and provide strategic recommendations. They collaborate with IT teams to maintain data pipelines and with business units to understand evolving analytical needs. The day concludes with documenting findings and ensuring data quality standards are met across all reporting systems.
WHO THRIVES:
Individuals who excel as Business Intelligence Analysts possess strong analytical minds with exceptional attention to detail and the ability to see both forest and trees in complex datasets. They demonstrate high levels of dependability and integrity when handling sensitive business information, while maintaining curiosity about market dynamics and business operations. Successful analysts combine technical proficiency with excellent communication skills, enabling them to translate complex statistical findings into compelling business narratives. They thrive on solving puzzles, enjoy working with technology, and possess the patience to methodically verify data accuracy before making recommendations.
CAREER ENTRY:
Entry into Business Intelligence requires a bachelor's degree, typically in business, computer science, statistics, economics, or related analytical fields, with 68.2% of practitioners holding bachelor's degrees and 22.7% holding master's degrees. Most employers prefer candidates with coursework in statistics, database management, and business fundamentals, along with practical experience in SQL, Excel, and data visualization tools. Entry-level positions often require 1-2 years of experience in data analysis, reporting, or related technical roles, which can be gained through internships, analyst positions, or project work involving data manipulation and reporting.
CAREER TRAJECTORY:
Business Intelligence Analysts typically advance to senior analyst roles within 3-5 years, then progress to BI Manager, Data Analytics Manager, or Director of Business Intelligence positions. Many transition into specialized roles such as Data Scientists, requiring additional statistical and machine learning expertise, or move into strategic roles like Marketing Managers or Operations Research Analysts. The analytical foundation also provides pathways into consulting, financial risk analysis, or executive positions where data-driven decision making is crucial.
MARKET INTELLIGENCE:
The Business Intelligence field offers strong compensation with a median annual salary of $120,230 (BLS OEWS May 2025), ranging from $67,240 to $199,130 across experience levels and geographic markets. With 262,440 professionals currently employed, demand remains robust across industries, particularly in Professional, Scientific, and Technical Services (69,730 employed), Finance and Insurance (46,730 employed), and Information sectors (32,410 employed). Geographic salary variation is significant, with Washington state offering the highest compensation at $163,350 compared to Mississippi's $69,490, reflecting a 2.35x premium in high-tech markets. The role's importance in data-driven decision making ensures continued growth prospects as organizations increasingly rely on analytics for competitive advantage.
AUTOMATION OUTLOOK:
Business Intelligence Analysts face moderate automation risk as AI tools increasingly handle routine data extraction and basic report generation tasks. However, the core activities of interpreting information meaning for stakeholders, conducting strategic analysis, and synthesizing complex business intelligence require human judgment and contextual understanding that resist full automation. The profession is evolving toward higher-value activities like predictive analytics and strategic consultation, where human expertise in business context and stakeholder communication remains irreplaceable.
--- REASONED EDGES ---
[skill_overlap] Data Scientists (15-2051.00) — confidence:high
reasoning: Both roles share core data analysis activities with high importance in analyzing data/information (4.7) and working with computers (4.7), plus similar mathematical and statistical knowledge requirements.
data: Analyzing Data or Information (imp:4.7)
data: Mathematics knowledge (imp:3.8)
data: Computers and Electronics knowledge (imp:4.3)
[knowledge_overlap] Computer Systems Analysts (15-1211.00) — confidence:high
reasoning: Both require strong Computers and Electronics knowledge (BI: 4.3 importance) and systems analysis transferable skills (3.1 importance), focusing on technology-business integration.
data: Computers and Electronics knowledge (imp:4.3)
data: Systems Analysis skill (imp:3.1)
data: Working with Computers activity (imp:4.7)
[task_similarity] Market Research Analysts and Marketing Specialists (13-1161.00) — confidence:high
reasoning: Both roles analyze market and customer data, identify industry trends with strategic implications, and synthesize business intelligence for recommendations.
data: Analyze competitive market strategies task
data: Identify and analyze industry or geographic trends task
data: Synthesize current business intelligence task
[riasec_cluster] Operations Research Analysts (15-2031.00) — confidence:medium
reasoning: Both occupations show strong Conventional (C:5.79) and Investigative (I:5.41) RIASEC patterns, indicating similar work preferences for analytical and systematic tasks.
data: RIASEC profile C:5.79, I:5.41
data: Analyzing Data or Information activity
data: Complex Problem Solving skill
[career_pathway] Marketing Managers (11-2021.00) — confidence:medium
reasoning: BI Analysts with Administration and Management knowledge (3.1 importance) and business strategy skills often advance to marketing leadership roles requiring data-driven decision making.
data: Administration and Management knowledge (imp:3.1)
data: Organizing, Planning, and Prioritizing Work activity (imp:4.0)
data: Interpreting Information for Others activity (imp:4.5)
--- NORMALIZER SIGNALS ---
match_keywords : ['business intelligence', 'data analysis', 'reporting', 'dashboard', 'analytics', 'market intelligence', 'business analyst', 'data mining']
exclude_keywords : ['software development', 'network administration', 'cybersecurity', 'hardware', 'programming']
title_patterns : ['Business Intelligence Analyst', 'BI Analyst', 'Business Data Analyst', 'Business Information Analyst', 'Business Intelligence Specialist']
common_variations: ['BI Analyst', 'Business Data Analyst', 'Business Intelligence Specialist', 'BI Consultant', 'Business Intelligence Coordinator', 'Business Information Analyst', 'Business Analytics Specialist', 'Data Business Analyst']
total_terms : 40 top_words : ['business', 'intelligence', 'tendency', 'others', 'analytics', 'management', 'equipment', 'analysis', 'tools', 'market', 'decision', 'principles', 'reporting', 'technology', 'includes', 'techniques', 'control', 'analytical', 'unstructured', 'technical'] source_layers : onet_tasks | onet_dimensions | dwas | wikipedia | inference TERM COUNT FREQ DOMINANT SOURCE SOURCE BREAKDOWN ────────────────────────────────────────────────────────────────────────────────────────── business 92 0.02476 wikipedia wikipedia:66% inference:22% onet_tasks:11% intelligence 63 0.01696 wikipedia wikipedia:71% inference:16% onet_tasks:13% tendency 42 0.01131 onet_dimensions onet_dimensions:100% others 40 0.01077 onet_dimensions onet_dimensions:95% onet_tasks:2% wikipedia:2% analytics 27 0.00727 wikipedia wikipedia:89% inference:11% management 24 0.00646 wikipedia wikipedia:62% onet_dimensions:29% inference:8% equipment 23 0.00619 onet_dimensions onet_dimensions:100% analysis 21 0.00565 wikipedia wikipedia:52% inference:24% onet_dimensions:19% tools 17 0.00458 onet_tasks onet_tasks:29% onet_dimensions:29% inference:24% market 16 0.00431 dwas dwas:38% wikipedia:38% onet_tasks:12% decision 16 0.00431 wikipedia wikipedia:75% onet_dimensions:12% inference:12% principles 16 0.00431 onet_dimensions onet_dimensions:100% reporting 14 0.00377 wikipedia wikipedia:57% inference:29% onet_tasks:7% technology 13 0.00350 wikipedia wikipedia:38% onet_dimensions:31% onet_tasks:15% includes 13 0.00350 onet_dimensions onet_dimensions:92% wikipedia:8% techniques 13 0.00350 onet_dimensions onet_dimensions:77% wikipedia:23% control 13 0.00350 onet_dimensions onet_dimensions:92% wikipedia:8% analytical 13 0.00350 wikipedia wikipedia:54% inference:38% dwas:8% unstructured 13 0.00350 wikipedia wikipedia:100% technical 12 0.00323 inference inference:42% onet_dimensions:25% onet_tasks:17% problems 12 0.00323 onet_dimensions onet_dimensions:75% wikipedia:25% strategic 12 0.00323 wikipedia wikipedia:50% inference:42% onet_dimensions:8% customer 12 0.00323 dwas dwas:58% onet_dimensions:33% wikipedia:8% objects 12 0.00323 onet_dimensions onet_dimensions:100% activities 12 0.00323 onet_dimensions onet_dimensions:75% inference:17% wikipedia:8% financial 11 0.00296 wikipedia wikipedia:45% onet_dimensions:27% inference:18% needs 11 0.00296 onet_dimensions onet_dimensions:73% onet_tasks:9% dwas:9% design 11 0.00296 onet_dimensions onet_dimensions:55% onet_tasks:18% wikipedia:18% performance 11 0.00296 onet_dimensions onet_dimensions:64% wikipedia:27% inference:9% procedures 11 0.00296 onet_dimensions onet_dimensions:73% dwas:27% operations 11 0.00296 onet_dimensions onet_dimensions:55% inference:27% wikipedia:18% ideas 11 0.00296 onet_dimensions onet_dimensions:100% structured 11 0.00296 wikipedia wikipedia:100% term 11 0.00296 wikipedia wikipedia:100% analysts 11 0.00296 inference inference:64% wikipedia:36% organizations 10 0.00269 wikipedia wikipedia:70% onet_tasks:10% onet_dimensions:10% resources 10 0.00269 onet_dimensions onet_dimensions:90% wikipedia:10% materials 10 0.00269 onet_dimensions onet_dimensions:100% body 10 0.00269 onet_dimensions onet_dimensions:100% identifying 10 0.00269 onet_dimensions onet_dimensions:80% wikipedia:20%