Data Analyst

Analyzing data for business decisions, building reports and dashboards

Data Engineering Junior Middle Senior Lead / Staff Principal
Full Matrix Career Track PDF
48 skills
5 levels
131 mandatory
240 requirements

Data Analyst is a role in the Data Engineering family. It has 48 skills across 5 levels (from Junior to Principal). 131 skills are mandatory. Key domains: Programming Fundamentals, Backend Development, Database Management.

Technology Stack

Junior SQL, Excel/Google Sheets, Tableau/Superset/Metabase, Python basics (pandas), Git
Middle SQL advanced, Python (pandas, numpy, scipy), Tableau/Superset, A/B testing tools, Airflow basics, ClickHouse/BigQuery
Senior SQL expert, Python (statsmodels, scikit-learn basics), ClickHouse/BigQuery, dbt, Airflow, Statistical modeling
Lead / Staff Analytics platform, Metric frameworks (AARRR, North Star), Self-service BI strategy, Data governance
Principal Enterprise analytics strategy, Advanced analytics, ML for business, Data culture

Focus by Level

Junior

Writing SQL queries for reports. Building dashboards (Tableau/Superset). Data collection and cleansing. Preparing presentations with insights.

Middle

Running A/B tests. Cohort analysis. Building product metrics. Report automation (Python/SQL). Working with product team.

Senior

Designing metrics systems. Complex statistical analysis. Forecasting. Mentoring. Presenting insights to management.

Lead / Staff

Data-driven culture in the company. Metrics standards. Coordinating analysts. Self-service analytics strategy.

Principal

Analytics strategy. Data democratization. Advanced analytics (ML for business). Influencing business strategy.

Skill Matrix

48 skills × 5 levels. Click on a cell for details.

A Awareness W Working V Advanced E Expert

AI-Assisted Development

3 skills
Skills Jun Mid Sen Lead Princ
GitHub Copilot A W A E E
ChatGPT / Claude A W A E E
Prompt Engineering for Code A W A E E

API & Integration

3 skills
Skills Jun Mid Sen Lead Princ
REST API Design A W A E E
GraphQL Design A W A E E
API Documentation A W A E E

Architecture & System Design

1 skills
Skills Jun Mid Sen Lead Princ
System Design Fundamentals A W A E E

Backend Development

3 skills
Skills Jun Mid Sen Lead Princ
Python Web Frameworks A W A E E
Redis A W A E E
Elasticsearch / OpenSearch A W A E E

Cloud & Infrastructure

4 skills
Skills Jun Mid Sen Lead Princ
Docker A W A E E
Kubernetes Core A W A E E
AWS A W A E E
Network Fundamentals A W A E E

Data Engineering

10 skills
Skills Jun Mid Sen Lead Princ
dbt A W A E E
Pandas / Polars A W A E E
SQL-based ETL A W A E E
Data Warehouse Design A W A E E
Data Catalog A W A E E
Data Lineage A W A E E
Data Contracts A W A E E
Data Quality A W A E E
Apache Airflow A W A E E
BI Dashboards A W A E E

Database Management

6 skills
Skills Jun Mid Sen Lead Princ
PostgreSQL A W A E E
MySQL / MariaDB A W A E E
ClickHouse A W A E E
Database Indexing A W A E E
Query Optimization A W A E E
Data Modeling & Schema Design A W A E E

DevOps & CI/CD

1 skills
Skills Jun Mid Sen Lead Princ
GitHub Actions / GitLab CI A W A E E

Machine Learning & AI

2 skills
Skills Jun Mid Sen Lead Princ
Classical ML (scikit-learn) A W A E E
Experiment Tracking A W A E E

Observability & Monitoring

2 skills
Skills Jun Mid Sen Lead Princ
Structured Logging A W A E E
Prometheus & Grafana A W A E E

Programming Fundamentals

7 skills
Skills Jun Mid Sen Lead Princ
Algorithms & Complexity A W A E E
Data Structures A W A E E
OOP & SOLID Principles A W A E E
Design Patterns A W A E E
Multithreading A W A E E
Async Programming A W A E E
Code Quality & Refactoring A W A E E

Security

2 skills
Skills Jun Mid Sen Lead Princ
OWASP & Application Security A W A E E
Secure Coding Practices A W A E E

Testing & QA

2 skills
Skills Jun Mid Sen Lead Princ
Unit Testing A W A E E
Integration Testing A W A E E

Version Control & Collaboration

2 skills
Skills Jun Mid Sen Lead Princ
Git Advanced A W A E E
Code Review A W A E E

FAQ

What skills are needed for the Data Analyst role?

The Data Analyst role requires 48 skills, of which 131 are mandatory. Skills are distributed across 5 levels: from Junior to Principal. See full matrix.

How to advance to the next level in the Data Analyst role?

Use the Grade Calculator to assess your current level and get personalized recommendations. The system will show which skills need to be developed for the next level.

What tech stack is used in the Data Analyst role?

The stack includes 5 technologies at different levels. SQL, Excel/Google Sheets, Tableau/Superset/Metabase, Python basics (pandas), Git, SQL advanced, Python (pandas, numpy, scipy), Tableau/Superset, A/B testing tools, Airflow basics, ClickHouse/BigQuery, SQL expert, Python (statsmodels, scikit-learn basics), ClickHouse/BigQuery, dbt, Airflow, Statistical modeling...

How does the community define requirements for the Data Analyst role?

Role requirements are shaped by the community through a proposal system. Any member can suggest changes that go through voting and expert review.

Community

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