Part-Time Data Analysis Support
Budget: ₹750 – ₹1,250 INR
I juggle several analytics projects every week and need reliable, part-time backup that lets me focus on stakeholder conversations while you focus on the data. Your biggest contribution will be helping me understand brand-new datasets from scratch—mapping fields, spotting anomalies, and confirming that any numbers we present make sense.
Once we know what the data is saying, I’ll hand over the Power BI file so you can build or refine the visuals. I’m especially interested in clean, interactive charts that follow best-practice design, with measures written in DAX where needed. You’ll also dip into SQL—mostly troubleshooting existing queries that refuse to cooperate or suddenly return odd results. If a quick Excel pivot or formula speeds things up, feel free to use it.
Day-to-day flow
• I share the raw tables (usually SQL Server or CSV), the business question, and any existing reports.
• You explore the data, document key joins or caveats, and confirm figures match source systems.
• You enhance the Power BI dashboard—new visuals, slicers, formatting tweaks—then publish to the workspace.
• When a query misbehaves, you diagnose the issue, explain the fix, and push the corrected script to Git.
We’ll work asynchronously with short catch-ups on Teams; typical assignments run 2–8 hours each, and I’m flexible on timing as long as deadlines are met. If that sounds manageable, let’s connect and get the first dataset in your hands.
Once we know what the data is saying, I’ll hand over the Power BI file so you can build or refine the visuals. I’m especially interested in clean, interactive charts that follow best-practice design, with measures written in DAX where needed. You’ll also dip into SQL—mostly troubleshooting existing queries that refuse to cooperate or suddenly return odd results. If a quick Excel pivot or formula speeds things up, feel free to use it.
Day-to-day flow
• I share the raw tables (usually SQL Server or CSV), the business question, and any existing reports.
• You explore the data, document key joins or caveats, and confirm figures match source systems.
• You enhance the Power BI dashboard—new visuals, slicers, formatting tweaks—then publish to the workspace.
• When a query misbehaves, you diagnose the issue, explain the fix, and push the corrected script to Git.
We’ll work asynchronously with short catch-ups on Teams; typical assignments run 2–8 hours each, and I’m flexible on timing as long as deadlines are met. If that sounds manageable, let’s connect and get the first dataset in your hands.
Related categories:
Excel
SQL
Microsoft Access
Database Administration
Data Visualization
Data Analysis
Power BI
Anomaly Detection