P2
DSA.GEN.P2
Data Science and Analytics Data Analyst
Data Science and Analytics
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.
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Level
P2 · P2 — Developing Professional · 1–3 yrs
Function · Focus
Data Science and Analytics · General
Market pay (median)
—
Pay basis
model pending
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 → · Compare side-by-side →
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P1
DATA2.GEN.P1
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Proficient
Componentsshow ▾
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 aliasesshow ▾
| 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 mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review