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Structured Multi-Week Career Blueprint

Data Analytics & Power BI 14-Week Blueprint

This 14-week zero-to-hire blueprint takes you step-by-step from raw spreadsheet data to building interactive executive Power BI dashboards with complex DAX measures, automated SQL data pipelines, and a verified GitHub/NovyPro portfolio.

Target RoleJunior BI Developer / Business Data Analyst
Total Duration14 Weeks
Weekly Effort10 – 12 Hours / Week
Target CTC₹5.5L – ₹14.0L LPA

Milestone Execution Timeline

Phase 1 • Weeks 1 – 4

Phase 1: Advanced Excel & Relational SQL Core

Build an unshakeable foundation in Excel lookups, pivot calculations, and multi-table relational SQL query optimization.

Key Milestones:
  • Master XLOOKUP, INDEX-MATCH, and nested dynamic arrays (FILTER, UNIQUE)
  • SQL SELECT, GROUP BY, HAVING, subqueries, and table joins (INNER, LEFT, FULL)
  • Window functions: DENSE_RANK(), ROW_NUMBER(), LEAD(), LAG(), and PARTITION BY
  • Database normalization (1NF to 3NF) and indexing basics
🎯 Deliverable Milestone Project: Indian E-Commerce Sales SQL Analysis: Query 100k customer order records on Kaggle to calculate regional churn, monthly retention, and revenue per category.
Phase 2 • Weeks 5 – 9

Phase 2: Power BI, DAX & Dimensional Data Modeling

Connect heterogeneous data sources, construct Star Schema data models, and write advanced DAX formulas for dynamic executive KPIs.

Key Milestones:
  • Power Query ETL: Unpivoting, merging, appending, and automated data cleaning
  • Star Schema architecture, fact vs dimension tables, and relationship cardinality
  • DAX fundamentals: CALCULATE, ALL, FILTER, VALUES, and Time-Intelligence (YTD, SAMEPERIODLASTYEAR)
  • Custom visual themes, tooltips, drill-through pages, and Row-Level Security (RLS)
🎯 Deliverable Milestone Project: Swiggy / Zomato Hyperlocal Delivery Analytics: Build an interactive executive dashboard showing delivery time SLAs, rider payouts, and restaurant commission margins.
Phase 3 • Weeks 10 – 14

Phase 3: Python Pandas, Portfolio Deployment & Interview Pitch

Learn exploratory data analysis in Python, bundle your live projects into a standalone portfolio, and drill top Indian MNC interview questions.

Key Milestones:
  • Python Pandas & NumPy for handling missing values and outlier detection
  • Matplotlib & Seaborn for exploratory data visualization
  • Publish 3 polished case studies on GitHub with clear README problem statements and NovyPro embeds
  • Optimize LinkedIn & Naukri profiles with target data analyst keywords
🎯 Deliverable Milestone Project: FinTech Credit Risk & Loan Default Predictor: Perform exploratory analysis on Indian banking micro-loans to identify default indicators.

Job-Readiness Graduation Checklist

Completed 50+ medium LeetCode/HackerRank SQL problems
Built and hosted 3 distinct Power BI dashboards on NovyPro
Created a single-column ATS resume highlighting quantifiable business impact
Set up daily job alerts on Naukri, Instahyre, and LinkedIn

Common Career Transitions

B.Com / Finance Graduate → Financial BI Analyst

Strong domain understanding of P&L and Balance Sheet metrics accelerates DAX KPI creation.

Manual QA / Testing → Data Quality Analyst

Test-case thinking translates directly into SQL data validation and integrity verification.

Non-Tech Operations → Operations Business Analyst

Deep familiarity with ground workflows allows crafting actionable operational dashboards.

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