Data & Business Intelligence Analysis — P5
DATASC.DATABUSIA573.P5
Focuses on transforming raw data into actionable business insights through reporting, dashboarding, and BI analysis. Distinct from data engineering (pipeline/infrastructure construction) and from advanced data science/ML modeling: this focus centers on SQL-based querying, data cleansing, data modeling for BI, visualization, trend and variance analysis, and translating stakeholder business questions into KPIs, reports, and dashboards using BI tooling.
Focuses on transforming raw data into actionable business insights through reporting, dashboarding, and BI analysis. Distinct from data engineering (pipeline/infrastructure construction) and from advanced data science/ML modeling: this focus centers on SQL-based querying, data cleansing, data modeling for BI, visualization, trend and variance analysis, and translating stakeholder business questions into KPIs, reports, and dashboards using BI tooling.
Focus — Data & Business Intelligence Analysis
Focuses on transforming raw data into actionable business insights through reporting, dashboarding, and BI analysis. Distinct from data engineering (pipeline/infrastructure construction) and from advanced data science/ML modeling: this focus centers on SQL-based querying, data cleansing, data modeling for BI, visualization, trend and variance analysis, and translating stakeholder business questions into KPIs, reports, and dashboards using BI tooling.
General focus — no material pay or skill differential vs the function baseline.
Responsibilities by level
What this person actually does at each level on the professional track — escalating scope, not one generic blob. Your level is highlighted.
- Works under the supervision of senior analysts to assist with data cleaning, report generation, and basic data analysis tasks
- Gathers data from diverse sources such as databases, spreadsheets, and external APIs following defined procedures
- Performs data cleansing to remove inconsistencies, errors, and duplications from source datasets
- Transforms data into a consistent, standardized format suitable for downstream analysis
- Builds basic reports and chart visualizations using BI tools under detailed instruction
- Takes on independent data analysis, report creation, and dashboard development for defined business areas
- Writes SQL queries to collect, process, and analyze datasets from various sources
- Develops and maintains data models, reports, and dashboards using BI tools such as Power BI or Tableau
- Works with business stakeholders to gather requirements and track KPIs
- Identifies trends, patterns, and correlations and creates visualizations that communicate findings
- Owns end-to-end delivery of BI projects across diverse business domains with milestone-level review
- Works closely with business stakeholders to translate their needs into actionable insights and data requirements
- Writes complex SQL code and builds intricate data models to support reporting and analysis
- Develops dashboards and applies statistical methods to uncover and validate insights
- Performs forecasting and variance reporting to support business decision-making
- Leads a team of analysts and oversees complex, cross-functional BI projects through to delivery
- Selects analytical methods and contributes to the design and development of data models and architectures
- Ensures data quality and defines KPIs across multiple business areas
- Mentors and guides junior analysts, providing technical support and reviewing their work
- Drives in-depth analysis of complex business variables to influence functional decisions
- Develops strategic BI initiatives that contribute to broad company objectives
- Drives data-driven decision-making across the organization, acting as an internal and external spokesperson for analytics
- Architects enterprise data models and standards that establish barriers to entry for competing approaches
- Acts independently on broad and special analytical assignments involving significant intangibles
- Builds influential networks across business and technical leadership to align BI strategy
- Leads the BI function aligned with the company's long-term goals and shapes its strategic direction and vision
- Designs the BI roadmap and manages the associated budget
- Defines and implements business analysis standards, policies, and procedures across multiple projects, programs, and portfolios
- Provides input on enterprise-wide technology planning
- Applies visioning, influencing, entrepreneurship, and thought leadership to advance the analytics field within the organization
Level guidelines
The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.
| Level | Knowledge & Application | Complexity & Problem Solving | Collaboration & Interaction | Typical Degree & Years |
|---|---|---|---|---|
| P1 | Applies foundational SQL, data cleansing, and basic reporting skills to routine, developmental tasks under detailed instruction. | Solves routine data-quality and report-formatting problems with standard, established answers. | Maintains stable working relationships within the immediate analytics team; escalates ambiguity to senior analysts. | 0–1 years; new graduate or intern. |
| P2 | Applies SQL querying, data modeling, and BI tooling to conventional analysis and dashboard tasks with judgment in familiar contexts. | Handles moderately complex problems—identifying trends and correlations—using defined procedures and some routine independence. | Builds productive relationships with business stakeholders to gather requirements and track KPIs. | 2+ years with a BA, or MS/PhD with no experience. |
| P3 | Applies advanced SQL, complex data modeling, and statistical methods across diverse business problems with day-to-day independence. | Evaluates identifiable factors to translate stakeholder needs into insights, forecasts, and variance reports. | Networks with senior professionals and stakeholders; may coordinate project activities. | 5+ years (BA), 3 years (MA), or PhD without experience. |
| P4 | Applies in-depth expertise in data architecture, KPI definition, and BI delivery to complex issues with functional impact. | Performs in-depth analysis of complex, interacting business variables and selects appropriate analytical methods. | Coordinates across groups, may lead and supervise project teams, and influences functional decisions. | 8+ years, often with graduate education. |
| P5 | Applies expert, strategic knowledge of enterprise BI to significant and unique assignments contributing to company objectives. | Solves problems involving substantial intangibles with high independence, shaping enterprise analytics direction. | Builds influential networks and serves as an internal and external spokesperson for analytics. | 12+ years, extensive BI and analytics expertise. |
| P6 | Applies field-shaping vision to define BI standards, roadmap, and strategy organization-wide. | Provides visionary problem-solving on critical, broad-design challenges with wide latitude. | Influences industry and company direction as a recognized thought leader; mentors peer professionals. | 15+ years; principal BI expert, often with industry leadership. |
Skills
Focus-specific skills the role applies — the relevance layer beyond the occupational base.
- SQL
- Foundational querying language for retrieving and manipulating data from databases.
- Data cleansing
- Removing inconsistencies, errors, and duplications and standardizing data for analysis.
- Data modeling
- Designing and developing data models and architectures to support BI solutions.
- Data visualization
- Building dashboards and visualizations that communicate findings effectively.
- Trend analysis
- Identifying data patterns, trends, and correlations across information sources.
- Forecasting and variance reporting
- Performing forecasting and variance reporting to support business decisions.
- Analytical skills
- Breaking down complex problems to evaluate information and results.
- Critical thinking
- Evaluating information objectively to make decisions and solve problems.
- Communication
- Conveying complex technical terms to non-technical team members.
- Attention to detail
- Ensuring accuracy in reporting.
- Statistical methods
- Applying statistical techniques to analyze data.
- Stakeholder collaboration
- Partnering with cross-functional teams to translate business needs into data requirements.
- Microsoft Power BI
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
- Tableau
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
- Alteryx
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
- Python
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
- R
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
- Apache Spark
- Uses this tool/technology effectively during the delivery of day-to-day tasks.
Provenance
The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).
Level — P5 — Expert Professional
Expert in field; key problem solver and project leader, authority in multiple areas
- Scope
- Multiple systems or a technical domain
- Autonomy
- Sets direction within the domain
- Complexity
- Novel, high-ambiguity problems; establishes the approach
- Impact
- Org / multi-team outcomes
- Decision rights
- Authority over a technical domain
- Leadership
- Leads cross-team technical initiatives
- Typical experience
- 8–12 yrs
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
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O*NET / SOC
- code=15-2051source=jfm-factory.resolve