Data Science and Analytics Data Analyst
DSA.GEN.P2
P2P2 — Developing Professionalmedium0.70draftglobalv1
Focus on interpreting data and generating actionable insights, often through dashboards and reports.
Summary
Focus on interpreting data and generating actionable insights, often through dashboards and reports.
Level — P2 — Developing Professional
Early-career professional; developing skills, handles routine tasks with some independence
- Scope
- Defined deliverables / small features
- Autonomy
- General supervision; reviewed at milestones
- Complexity
- Some non-routine problems; applies established patterns
- Impact
- Own and immediate-team deliverables
- Decision rights
- Routine technical choices within guidance
- Leadership
- May guide interns
- Typical experience
- 1–3 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work →
P2
DATA2.GEN.P2
Developing
P2
DATA4.GEN.P2
Developing
M2
DEM.GEN.M2
Experienced Manager
P1
DATA2.GEN.P1
Entry
P3
DATA2.GEN.P3
Proficient
Components
Responsibilities10
- Data cleaningcommonlevel
- Trend analysiscommonlevel
- KPI trackingcommonlevel
- Generate reports and dashboardscommonlevel
- Provide insights to support decision-makingcommonlevel
- Collaborate with business unitscommonlevel
- Ensure data accuracycommonlevel
- Identify data patternscommonlevel
- Support data-driven strategiescommonlevel
- Assist in data governancecommonlevel
Tasks3
- Clean and prepare data for analysiscommonlevel
- Create and maintain dashboardscommonlevel
- Analyze data to identify trendscommonlevel
Skills10
- Data cleaningcommonlevel
- SQL queryingcommonlevel
- Excel proficiencycommonlevel
- Dashboard creationcommonlevel
- Trend analysiscommonlevel
- KPI Monitoringcommonlevel
- Data Reportingcommonlevel
- Critical analysiscommonlevel
- Collaborationcommonlevel
- Time managementcommonlevel
Knowledge10
- Data analysis techniquescommonlevel
- Business intelligence toolscommonlevel
- Statistical methodscommonlevel
- Data Visualizationcommonlevel
- Industry KPIscommonlevel
- Data governancecommonlevel
- Data quality assurancecommonlevel
- Report Generationcommonlevel
- Business Processescommonlevel
- Data ethicscommonlevel
competency10
- Excel/SQLcommonlevel
- Business Intelligence Toolscommonlevel
- Basic Statscommonlevel
- Critical thinkingcommonlevel
- Attention to detailcommonlevel
- Data interpretationcommonlevel
- Communication Skillscommonlevel
- Problem Solvingcommonlevel
- Time managementcommonlevel
- Teamworkcommonlevel
qualification5
- Bachelor's degree in Business, Statistics, or related fieldcommonlevel
- Proficiency in Excel and SQLcommonlevel
- Experience with BI toolscommonlevel
- Strong analytical skillscommonlevel
- 2+ years of experience in data analysiscommonlevel
Title aliases
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Data Science and Analytics II | common | medium0.70 | — |
| Data Science and Analytics 2 | common | medium0.66 | — |
| Data Science and Analyst II | common | medium0.70 | — |
| Data Science and Analyst 2 | common | medium0.66 | — |
| Data Science and Analytics Data Analyst | common | medium0.60 | — |
Classification mappings
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review