Senior Data Analyst
W skrócie
Senior Data Analyst in Warszawa/Poznań/Kraków (hybrid). Responsibilities include leading analytical initiatives, data analysis with Python/SQL, and creating visualizations (Tableau/Power BI/Looker). Requires 4+ years experience, strong Python/SQL, data viz tools, and B2+/C1 Polish/English.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
Position: Senior Data Analyst
Location: Warszawa / Poznań / Kraków (hybrid work - min. 2 days per week from the office) Type of contract: B2B Languages required: Polish, English Preferable start: ASAP
About the positionWe are looking for an experienced Senior Data Analyst to join a large-scale analytics project combining advanced data analysis with real business impact. You will work with complex datasets, lead analytical initiatives end-to-end, and collaborate closely with business and technical stakeholders to turn data into actionable recommendations.
This role is a great fit for someone who combines strong hands-on Python and SQL skills with a proactive, business-oriented approach and enjoys taking ownership of analytical topics from identifying the opportunity to presenting the final recommendation.
Responsibilities
- Analyze large and complex datasets using Python and SQL
- Lead analytical initiatives end-to-end, from identifying business needs to delivering insights and recommendations
- Build analytical tools and automation solutions supporting business decision-making
- Analyze customer behavior, traffic, revenue, and commercial performance to identify trends and optimization opportunities
- Develop scenarios and assess the potential business impact of changes and new initiatives
- Create dashboards and data visualizations using Tableau, Power BI, Looker, or comparable tools
- Translate complex data into clear and actionable business recommendations
- Proactively identify new analytical opportunities and propose data-driven solutions
- Collaborate closely with business and technical stakeholders across multiple areas
- Present analytical findings and recommendations to managers and senior stakeholders
- Take ownership of analytical projects, including defining the approach, engaging relevant stakeholders, and driving delivery
- Must-haveAt least 4 years of professional experience in data analytics
- Strong hands-on Python skills for data analysis and processing
- Very good SQL skills and ability to write complex queries independently
- Commercial experience working with large datasets and mature data environments
- Experience with data visualization tools such as Tableau, Power BI, Looker, or similar
- Proven ability to independently lead analytical projects end-to-end
- Strong analytical thinking and ability to translate data into concrete business recommendations
- Proactive approach and ability to identify problems and opportunities independently
- Strong stakeholder management and business communication skills
- Experience presenting analytical insights and recommendations to managerial stakeholders
- Very good command of Polish (min. C1) and English (min. B2+/C1)
Nice-to-have
- Experience with Google Cloud Platform, particularly BigQuery and Composer
- Experience with Airflow or PySpark
- Experience with Looker or Looker Studio
- Knowledge of Git/GitHub
- Experience building data models or analytical datasets for business users
- Practical experience with AI, Agentic AI, or Machine Learning solutions for analytics and automation
- Experience in pricing or commercial analytics
- Experience in Advertising, AdTech, e-commerce, or marketing analytics
- Experience in banking, consulting, FMCG, or another large-scale data-driven organization
| Opublikowana | 2026-09-08 |
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