Senior Data Product Owner — Analytics that Drives Growth

Astek; Wrocław; On-site; PLN 24,000 - 30,000; Full time

Benefits offered by this job

Long-term collaboration

Technical training & certifications

Mentoring & knowledge sharing

Clear career path

Employee benefits package

Job summary

Astek is seeking a Senior Data Analyst / Data Product Owner in Poland to translate data into strategic business insights. The role requires strong SQL and cloud data platform experience (BigQuery) and proficiency with BI tools (Looker, Looker Studio, Power BI, Tableau or Qlik).

You will own analytical initiatives end-to-end, define KPIs, and communicate findings across stakeholders while shaping data products aligned with business goals.

Qualifications

• Solid experience in data analytics and translating data into actionable insights.
• Strong SQL skills with hands-on BigQuery or similar cloud data platforms.
• Proficient in BI tools: Looker, Looker Studio, Power BI, Tableau or Qlik.

Responsibilities

• Translate business needs into clearly defined analytical use cases and data products.
• Define KPIs and success metrics and measure business impact of data initiatives.
• Lead analytical initiatives end-to-end from discovery to implementation and continuous improvement.
• Gather requirements from stakeholders and translate into functional specifications for data/BI teams.
• Prioritize competing business needs and manage multiple initiatives independently.
• Communicate complex findings clearly to both technical and non-technical audiences.

Skills

SQL

BigQuery

Data analytics

Looker

Looker Studio

Power BI

Tableau

Qlik

KPIs & metrics

Product mindset

Tools

BigQuery

Looker

Looker Studio

Power BI

Tableau

Qlik

Job description

Astek is seeking a Senior Data Analyst / Data Product Owner in Poland to translate data into strategic business insights. The role requires strong SQL and cloud data platform experience (BigQuery) and proficiency with BI tools (Looker, Looker Studio, Power BI, Tableau or Qlik).

You will own analytical initiatives end-to-end, define KPIs, and communicate findings across stakeholders while shaping data products aligned with business goals.