Prebuilt Projects2Jobs roadmap
Data Analyst Roadmap
Turn raw data into business-ready analysis, dashboards, and clear recommendations.
Data analyst and BI candidates who need credible project proof.
Timeline
7 weeks
Level
Beginner to intermediate
Final outcome
A data portfolio with SQL analysis, cleaned datasets, dashboards, business recommendations, and caveats.
Skills to prove
SQL
Data cleaning
Dashboards
Statistics
Storytelling
Business metrics
Portfolio projects
- SQL case study with cohort, retention, and funnel analysis
- Executive dashboard with documented KPIs and data caveats
- Messy dataset cleanup with a reproducible analysis notebook
Prebuilt build path
Follow these phases in order. Each one ends with a portfolio artifact you can show in GitHub, on your resume, or in interviews.
Step 1
Weeks 1-2
Clean and validate the data
Show disciplined handling of messy real-world data.
- Choose a dataset and document missing values, duplicates, outliers, and assumptions.
- Build reproducible cleaning steps with checks that prove the final dataset is usable.
Deliverable: A cleaned dataset, data dictionary, and validation notes.
Step 2
Weeks 3-5
Analyze the business question
Demonstrate SQL, metrics, segmentation, and interpretation.
- Write SQL queries for cohorts, funnels, retention, growth, or operational KPIs.
- Compare segments and explain what changed, what matters, and what might be noise.
Deliverable: A SQL analysis case study with charts, insights, and caveats.
Step 3
Weeks 6-7
Package the decision story
Make the analysis usable by a business audience.
- Create an executive dashboard with clear KPIs, filters, and source notes.
- Write recommendations, risks, and next questions for stakeholders.
Deliverable: A dashboard and written analysis that supports a concrete business decision.
Related project guides
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