Middle Data Analyst

Talanto; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Annual bonus up to 1000 EUR/month

Hybrid work model

Professional growth program

Private health insurance

Job summary

Talanto is hiring a Data Analyst for a project building a large-scale media intelligence platform delivering real-time audience insights and analytics. The role is full-time, with hybrid work in Warsaw, Porto, and Amsterdam, and involves end-to-end analytics, dashboard development, and cross-functional collaboration.

The ideal candidate has 3+ years in analytics, strong SQL and Python, experience with Spark/Databricks, and proficiency in statistics and data visualization.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 3+ years in analytics, insights, or product-analytics roles.
• Advanced SQL (window functions, complex joins) and query optimization for large datasets.
• Experience querying/aggregating billion-row datasets in a distributed engine (Spark/Databricks or equivalent).
• Strong Python for statistical analysis with clean, reproducible code.
• Solid applied statistics (sampling, hypothesis testing) and experience building data visualizations and dashboards.
• Git and collaborative code review practices; English at Upper-Intermediate or above.

Responsibilities

• Own analytical projects end-to-end: scope, analysis, and deliver actionable recommendations.
• Analyze complex, large-scale datasets to identify trends in viewership and audience behavior and quantify commercial value.
• Document methodology and assumptions to ensure reproducibility.
• Measure and report data coverage, consistency, and quality; escalate where needed.
• Design experiments and interpret results; build and maintain dashboards for stakeholders.
• Write production-quality, documented SQL and Python for recurring analyses, versioned in Git.
• Communicate results to technical and non-technical audiences and collaborate cross-functionally.

Skills

SQL

Python

Spark

Education

Bachelor's degree in quantitative field

Tools

Git

Databricks

Job description

Full time · Middle · Hybrid · Warsaw, Porto, Amsterdam

SQL Python Spark

is hiring a Data Analyst for a project developing a large-scale media intelligence platform that delivers real-time audience insights and analytics solutions.

Responsibilities:

• Own analytical projects end-to-end: scope, analysis, and deliver actionable recommendations.
• Analyze complex, large-scale datasets to identify trends in viewership and audience behavior and quantify commercial value.
• Document methodology and assumptions to ensure reproducibility.
• Measure and report data coverage, consistency, and quality; escal
• Design experiments and interpret results; build and maintain dashboards for stakeholders.
• Write production-quality, documented SQL and Python for recurring analyses, versioned in Git.
• Communicate results to technical and non-technical audiences and collaborate cross-functionally.

Requirements / Must-haves:

• Bachelor's degree in a quantitative field or equivalent experience.
• 3+ years in analytics, insights, or product-analytics roles.
• Advanced SQL (window functions, complex joins) and query optimization for large datasets.
• Experience querying/aggregating billion-row datasets in a distributed engine (Spark/Databricks or equivalent).
• Strong Python for statistical analysis with clean, reproducible code.
• Solid applied statistics (sampling, hypothesis testing) and experience building data visualizations and dashboards.
• Git and collaborative code review practices; English at Upper-Intermediate or above.

Nice-to-haves:

• Experience with A/B testing or incrementality measurement in marketing/media.
• Familiarity with knowledge graphs, taxonomies, or entity/product hierarchies.
• Analytics engineering practices (dbt, semantic layers, data modeling for self-serve analytics).
• Exposure to ML concepts (propensity, lookalike, classification models).\
• Knowledge of privacy-preserving data practices (GDPR, consent, data clean rooms) and TV measurement vendors.

Conditions & benefits:

• Full-time employment; on-site / hybrid in Warsaw, Porto, Amsterdam.
• Professional and career growth, mentoring and adaptation systems.
• Opportunity to earn up to an additional 1,000 EUR/month as part of an annual bonus.
• Access to corporate training portal, certification compensation, referral program, private health insurance and sports compensation (depending on employment type).