10 Data Analyst Portfolio Projects That Make Recruiters Notice You
A complete Portfolio Playbook for Data Analysts — 2026 Edition. Most freshers lose the hiring race not because they lack skills, but because their portfolio looks like everyone else's. This guide gives you 10 industry-grade projects across healthcare, finance, e-commerce, HR, marketing, energy, telecom, manufacturing, and sports — each with real datasets, 300+ SQL & Python tasks, dashboard guidance, STAR interview answers, and recruiter insights. Also includes a GitHub Portfolio Guide, LinkedIn Portfolio Guide, Resume Guide, Interview Preparation, and a Portfolio Checklist.
What's Included
10 Industry-Grade Portfolio Projects
Hospital readmission, loan default, supply chain, e-commerce churn, HR attrition, marketing A/B test, energy forecasting, telecom quality, manufacturing defects, and football analytics
300+ SQL & Python Tasks
Real joins, window functions, CTEs, pandas cleaning, matplotlib & seaborn visualisations — the exact skills recruiters scan for
Dashboard Guidance (Power BI, Tableau, Excel)
Step-by-step dashboard design with KPIs, filters, and drill-through — not just a wall of charts
STAR Interview Answers Included
For each project, ready-to-use answers structured for behavioural and technical interview questions
Portfolio Launch Guides
GitHub portfolio guide, LinkedIn profile guide, resume guide, interview prep, and a final portfolio checklist
Who is this for?
What learners say
“The ATS resume template got me shortlisted immediately. Interview Q&As are pure gold!”
“Switched careers using this kit. Portfolio projects gave me real talking points. Landed my role in 3 months!”
“The roadmap and projects helped me build a portfolio from scratch. The AI prompts are incredibly useful.”
Frequently asked questions
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