🚀 6-Month AWS Data Analyst Roadmap (2026)
Transition from Business Analyst to Cloud Data Expert (Step-by-Step + Projects)
If you’re a Business Analyst with basic data skills, this roadmap gives you a clear, practical path to transition into high-demand roles like:
AWS Data Analyst
Cloud Data Analyst
Technical Business Analyst
Data Business Analyst
Entry-Level Product Analyst
This is not theory — it’s a hands-on, portfolio-driven plan aligned with what hiring managers actually expect.
🎯 Why This Roadmap Works
Combines BA skills + AWS tools (rare & highly valuable combo)
Focuses on real-world projects instead of tutorials only
Covers core AWS data stack used in companies
Designed for job-ready portfolio + LinkedIn visibility
⏱️ Study Plan Overview
| Duration | Sessions | Projects | AWS Services |
|---|---|---|---|
| 6 Months | 26 Sessions | 3 Portfolio Projects | 8+ Services |
Weekly Structure:
Weekdays: 1–1.5 hr (learning + practice)
Saturday: 5-hour sprint (mandatory)
Saturday Sprint Breakdown:
1–2 hr: Concepts + Docs
2–3 hr: Hands-on practice
3–4 hr: Project build
4–5 hr: Documentation (BRD / diagrams)
📅 Month-by-Month AWS Data Analyst Roadmap
🟢 Month 1: Data Foundations (Excel + AWS S3 + Glue)
🎯 Goal:
Build your first cloud data pipeline
🧠 Learn:
Business Analyst Skills
Excel: PivotTables, XLOOKUP, dashboards
Power Query (data cleaning & transformation)
BRD (Business Requirement Document) writing
AWS Skills
Amazon S3: Data lake structure (raw → processed → curated)
AWS Glue: Crawlers + ETL jobs
IAM basics (roles & permissions)
🛠️ Project:
👉 Sales Dashboard + Glue ETL Pipeline
Upload CSV → S3
Transform using Glue → Parquet
Query-ready dataset
🔵 Month 2: Advanced SQL + Amazon Athena
🎯 Goal:
Run production-level analytics on cloud data
🧠 Learn:
SQL Skills
Window functions (ROW_NUMBER, RANK, LAG)
CTEs & recursive queries
Funnel & cohort analysis
AWS Skills
Amazon Athena
Glue Catalog (schema + partitions)
CTAS (Create Table As Select)
🛠️ Project:
👉 E-commerce Analytics System
Funnel analysis
Cohort retention
YoY revenue tracking
🟣 Month 3: Power BI + Automation (Step Functions + Lambda)
🎯 Goal:
Build dashboards + automate pipelines
🧠 Learn:
BI Skills
Power BI dashboards
DAX (CALCULATE, FILTER, RANKX)
Star schema design
AWS Skills
AWS Step Functions
AWS Lambda
Amazon SNS
🛠️ Project:
👉 Automated Data Pipeline + Executive Dashboard
🟠 Month 4: Real-Time Data (Kinesis + QuickSight)
🎯 Goal:
Work with real-time streaming data
🧠 Learn:
BA + BI Skills
Tableau dashboards
Data flow diagrams (DFD, BPMN)
AWS Skills
Amazon Kinesis
Amazon QuickSight
🛠️ Project:
👉 Real-Time Sales Dashboard (Streaming Data)
🔴 Month 5: Python + Data Warehouse (Redshift + Monitoring)
🎯 Goal:
Automate reporting + monitor pipelines
🧠 Learn:
Python Skills
Pandas (data cleaning, aggregation)
Data visualization
AWS Skills
Amazon Redshift
Amazon CloudWatch
🛠️ Project:
👉 Python EDA + Redshift Warehouse + Monitoring Alerts
⚫ Month 6: Governance + Portfolio (EMR + Lake Formation)
🎯 Goal:
Build a governed enterprise data lake
🧠 Learn:
BA Skills
Confluence documentation
Agile (Jira, user stories)
Data governance
AWS Skills
Amazon EMR
AWS Lake Formation
🛠️ Project:
👉 Governed Data Lake with Role-Based Access
💼 Final Portfolio Projects (Job-Ready)
🧩 Project 1: End-to-End Retail Data Pipeline
S3 → Glue → Athena → QuickSight
Fully automated with Lambda + Step Functions
⚡ Project 2: Real-Time Clickstream Analytics
Kinesis → S3 → Glue → Redshift
Python-based event simulation
🔐 Project 3: Governed Data Lake
EMR + Lake Formation + Power BI
Role-based access (Finance, Ops, Compliance)
🎯 Job Role Mapping
| Role | Skills You Gain |
|---|---|
| AWS Data Analyst | SQL, Athena, Glue, dashboards |
| Cloud Data Analyst | ETL, pipelines, architecture |
| Technical BA | BRD, workflows, AWS systems |
| Data BA | BI tools + stakeholder reporting |
💡 Pro Tips (Highly Important)
✅ Use AWS Free Tier Smartly
Set billing alerts at ₹400–₹500 (~$5)
✅ Build in Public
Upload everything to GitHub
Share progress weekly on LinkedIn
✅ Think Like a Hybrid Professional
👉 Document like BA + Build like Engineer
✅ Use Real Datasets
Use Kaggle (Retail, Finance, E-commerce)
🚀 Final Thoughts
This roadmap is not just a course plan — it’s a career transition strategy.
If you follow it seriously:
You’ll build real AWS projects
You’ll create a job-ready portfolio
You’ll stand out in interviews
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