Roles and Responsibilities
- Gather, analyze, and interpret business data from multiple sources.
- Understand business requirements and translate them into analytical reports and dashboards.
- Develop interactive dashboards and visualizations using Power BI or Tableau.
- Write SQL queries to extract, filter, join, and manipulate data from databases.
- Clean, transform, and validate datasets to ensure data accuracy and consistency.
- Monitor and analyze key performance indicators (KPIs) and business metrics.
- Prepare daily, weekly, and monthly business performance reports.
- Identify trends, patterns, and opportunities through data analysis.
- Create data models and establish relationships between different datasets.
- Use Excel for data analysis, reporting, and business performance tracking.
- Develop DAX measures and calculated columns for Power BI reports.
- Perform data validation and troubleshoot discrepancies in reports.
- Collaborate with business teams, management, and stakeholders to understand reporting requirements.
- Present analytical findings and business insights through reports and dashboards.
- Maintain documentation of data sources, business metrics, and reporting processes.
Technical Skills Required
- Business Intelligence and Data Analytics.
- SQL (Joins, Subqueries, CTEs, Group By, Aggregate Functions).
- Microsoft Excel (Advanced Excel, Pivot Tables, VLOOKUP, XLOOKUP).
- Power BI (Dashboard Development, DAX, Power Query, Data Modeling).
- Tableau (Dashboard Development and Data Visualization).
- Data Cleaning, Data Transformation, and Data Validation.
- Data Visualization and Reporting.
- KPI Monitoring and Business Performance Analysis.
- Basic Statistics and Data Interpretation.
- Database Management and Relational Database Concepts.
- Python (Pandas, NumPy) – Good to Have.
- ETL Processes and Data Warehousing Concepts – Added Advantage.
Required Skills and Competencies
- Strong analytical and logical thinking.
- Excellent problem-solving abilities.
- Good understanding of business processes and data analysis.
- Strong attention to detail and data accuracy.
- Ability to interpret complex datasets and communicate insights.
- Good verbal and written communication skills.
- Ability to understand business requirements.
- Strong organizational and time-management skills.
- Ability to work independently and collaboratively with cross-functional teams.
Key Performance Indicators (KPIs)
- Accuracy and reliability of business reports.
- Timely delivery of dashboards and analytical reports.
- Effectiveness of KPI tracking and monitoring.
- Quality and usability of BI dashboards.
- Data consistency and validation accuracy.
- Ability to identify meaningful business insights.
- Stakeholder satisfaction and reporting efficiency.
