Data Science and Analytics Data Analyst
DSA.GEN.P2
Focus on interpreting data and generating actionable insights, often through dashboards and reports.
Focus on interpreting data and generating actionable insights, often through dashboards and reports.
The story of this role
Transform complex datasets into actionable insights to empower data-driven decisions in your organization.
Who does this work
You are a Data Scientist committed to analyzing vast amounts of data to derive meaningful insights.
The problem this role solves
- The external problem: You struggle to make sense of overwhelming data, which hinders your ability to support business decisions.
- The internal problem: You feel frustrated when key insights are missed or overlooked due to complexity in the data.
- Why it matters: You believe that every dataset has the potential to uncover valuable insights that can drive significant business impact.
What the role brings
You can rely on proven methodologies and tools that simplify data analysis, enabling you to focus on delivering strategic insights.
The plan
- Identify the key datasets relevant to your business objectives.
- Utilize data cleaning techniques to ensure data quality.
- Apply statistical methods to analyze trends and patterns.
- Build predictive models to forecast future outcomes.
- Communicate your findings effectively to stakeholders for informed decisions.
The call to action
Start analyzing your data effectively today.
What's at stake
Failing to derive actionable insights from your data may lead to missed opportunities, wasted resources, and uninformed decisions.
Success looks like
By effectively analyzing data, you will drive strategic decisions, enhance business performance, and establish yourself as a key player in your organization.
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 →
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