A Data Analyst is responsible for:

- Collecting, analyzing, and interpreting data to generate business insights
- Supporting decision-making through dashboards, reports, and analytics
- Managing data projects, stakeholders, and delivery timelines
- Bridging data, business, and delivery teams
- Analytics (technical + statistical)
- Business understanding
- Project coordination

Core Role Pillars

1 Data Analysis & Insights

2 Data Engineering Support & Reporting

3 Business Understanding & Decision Support

4 Project / Delivery Management

1. Data Analysis & Insights

- Collect data from:
- Databases
- APIs
- Excel / external sources

- Clean and preprocess data:

- Handle missing values
- Remove inconsistencies
- Validate data quality

- Perform analysis:

- Trend analysis
- Pattern identification
- Statistical analysis

- Identify:

- Business opportunities
- Risks and anomalies

2. Data Visualization & Reporting

- Create dashboards using:
- Power BI / Tableau
- Excel dashboards

- Prepare reports:

- Daily / weekly / monthly reports
- KPI dashboards

- Present insights using:

- Charts, graphs, visual storytelling

- Support management with:

- Performance tracking
- Decision dashboards

3. Business Analysis & Decision Support

- Understand business requirements and objectives
- Translate data findings into:




- Business recommendations
- Process improvements

- Support departments:

- Operations
- Finance
- Marketing

- Perform:

- Root cause analysis
- Performance analysis

4. Advanced / Senior Analyst

- Handle complex datasets and large-scale analysis
- Develop:
- Data models
- Predictive analysis

- Design:

- Analytical frameworks
- Reporting structures

- Mentor junior analysts
- Ensure data quality, governance, and standardization

5. Project / Delivery Responsibilities

- Manage data-related projects
- Define:
- Scope, timelines, deliverables

- Track:

- Data project progress
- Report delivery timelines

- Coordinate with:

- Data engineers
- Business teams
- Stakeholders

- Ensure:

- Reports delivered on time
- Data accuracy and reliability

6. Stakeholder & Communication Role

- Work with:
- Business users
- Senior leadership
- Product teams

- Present:

- Insights
- Dashboards
- Recommendations

- Translate:

- Technical analysis Business language

Key Skills Required

Technical Skills

- Excel (advanced, pivot tables, macros)
- SQL (data extraction & queries)
- Visualization tools:
- Power BI / Tableau

- Programming (optional but preferred):

- Python / R

- Statistics & data modeling

📌 Data Analyst (Pune)
🏢 eClerx
📍 Pune