Product Data Analyst (Kraków, Hybrid)

LM Wind Power / GE; Kraków; On-site; PLN 60,000 - 80,000; Full time

Benefits offered by this job

Medical, Vision, Dental, and supplementary benefit plans

Professional development opportunities

Generous Paid Time Off Program

Job summary

LM Wind Power / GE is searching for a Product Data Analyst in Kraków, Poland. The successful candidate will drive data-driven decision-making, collaborate across teams, and ensure data accuracy through complex analytics and ETL processes in an Agile environment.

Applicants should possess a Bachelor's degree in Computer Science or Data Science and have at least 2 years of experience in data analysis. The role offers remote work flexibility and generous benefits.

Qualifications

• Two years of experience in data analysis or related field.
• Ability to write complex SQL queries.
• Experience with ETL processes.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Define and execute ETL processes.
• Collaborate with teams to understand data needs.

Skills

SQL expertise

Data analysis

Python proficiency

PowerShell proficiency

Data visualization in Power BI

Statistical methods understanding

Education

Bachelor's degree in Computer Science or Data Science

Tools

SQL

Power BI

Cloud-based data warehouses

Job description

About the Role

The Product Data Analyst will play a crucial role in driving data‑driven decision‑making across the Product Solutions organization and will facilitate all aspects of the Product Solutions data product roadmap, supporting initiatives aligned with the product roadmap using Agile methodology.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
• Define and execute ETL processes to ensure seamless data integration.
• Create and optimize complex SQL queries for reporting and analytics purposes.
• Design and implement data models and algorithms to support business objectives and enhance product capabilities.
• Conduct ad‑hoc analyses to support various business initiatives.
• Collaborate with cross‑functional teams to understand their data needs and provide actionable insights.
• Present findings and recommendations to senior leadership in a clear, concise and actionable manner.
• Ensure data quality and accuracy by implementing validation checks and error‑handling mechanisms.
• Automate and orchestrate ETL processes using PowerShell, scripts, or other technologies.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Two years of experience in data analysis or a related field.
• Proven expertise in SQL, with the ability to write complex queries and optimize for performance.
• Proficiency in Python, PowerShell, or similar tools for data manipulation and analysis.
• Proficiency in Power BI or similar data visualization tools.
• Ability to understand, organize, manipulate and derive complex data insights from large data sets.
• Familiarity with cloud‑based data warehouses.
• Strong understanding of statistical methods and data modeling techniques.
• Strong understanding of data governance and compliance standards.
• Strong project management skills, including project planning, execution, and monitoring.
• Strong interpersonal, collaboration, relationship‑building and negotiating skills.

Benefits

• Ability to work remotely with occasional business travel.
• Medical, Vision, Dental, and supplementary benefit plans.
• Access to new tech and growth opportunities.
• Professional development opportunities.
• Generous Paid Time Off Program.
• Volunteer Time Off (VTO) Policy.
• Competitive benefits and a Global Employee Assistance Program (EAP).

Equal Employment Opportunity

First Advantage is an equal opportunity employer. We are committed to providing a workplace and recruitment process that is free from unlawful discrimination, harassment, and retaliation. Employment decisions at First Advantage are based solely on qualifications, merit, and business needs. We do not discriminate in any aspect of employment on the basis of race, color, national origin, ancestry, citizenship, religion, creed, sex, gender identity, gender expression, sexual orientation, marital or family status, pregnancy, age, physical or mental disability, medical condition, genetic information, veteran or military status, or any other characteristic protected by applicable law.