Product Data Analyst (Krakow, Hybrid)

At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest advantage — our team members. Operating with empathy and compassion, First Advantage fosters a global inclusive workforce devoted to the diverse voices that make up our talent and products. Our team members empower each other to be their authentic selves and treat all with respect, integrity, and fairness. 

Say hello to a rewarding career and come join a leading provider of mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands.

What You'll Do:
  
The Product Data Analyst will play a crucial role in driving data-driven decision-making across the Product Solutions organization. This role is the facilitator all aspects of the Product Solutions data product roadmap and will support initiatives of the corresponding teams who will build, integrate or enhance any new or existing products in their respective portfolio aligned to the product roadmap using Agile methodology. The Product Data Analyst will support Product Solutions data product strategy coupled with the product team, Scrum Master, QA and Engineering.

More specifically, the individual in this role will:

• 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

• Bachelor's degree in Computer Science, Data Science, or related field
• Two more years of experience in data analysis or 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

• Ability to work remotely with occasional business travel   
• Medical, Vision, Dental, and supplementary benefit plans
• 401k with an employer match, and an Employee Stock Purchase Plan (ESPP)  
• Competitive and flexible Paid Time Off (PTO) and 8 paid company holidays   
• Access to new tech and growth opportunities, and leaders who want to see you succeed!

What Are You Waiting For? Apply Today!
You have learned a little about us today – we want to learn about you! If you think this position and our company are a great fit for your areas of interest and expertise, tell us about you by applying now!

United States Equal Opportunity Employment:

First Advantage is proud to be a global leader in removing barriers and supporting our community members to ensure the changing demographics of the workforce are reflected in our hiring and employment practices. We value all of our candidates, employees, and clients, and place great emphasis on hiring and supporting qualified individuals in each role. We are an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other area protected by applicable law.