AWS Cloud Data Analyst


 

🚀 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

DurationSessionsProjectsAWS Services
6 Months26 Sessions3 Portfolio Projects8+ 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)

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🎯 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

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🎯 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)

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🎯 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)

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🎯 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)

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🎯 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)

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🎯 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

RoleSkills You Gain
AWS Data AnalystSQL, Athena, Glue, dashboards
Cloud Data AnalystETL, pipelines, architecture
Technical BABRD, workflows, AWS systems
Data BABI 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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