Product Data Analyst

LM Wind Power / GE; Virginia (MN); Hybrid; USD 55,000 - 75,000; Full time

Benefits offered by this job

Professional development opportunities

Generous Paid Time Off Program

Volunteer Time Off (VTO) Policy

Competitive benefits (medical, dental, etc.)

Global Employee Assistance Program (EAP)

Job summary

LM Wind Power / GE in Virginia, Minnesota, seeks a Data Analyst to analyze large datasets, create ETL processes, and provide actionable insights. Successful candidates will have a Bachelor's degree and at least two years' experience in data analysis.

The role involves collaborating with cross-functional teams, presenting findings to leadership, and ensuring data quality. Benefits include competitive compensation, generous paid time off, and professional development opportunities.

Qualifications

• Minimum two years of experience in data analysis or related field.
• Ability to write complex SQL queries and optimize for performance.
• Strong project management skills including planning and execution.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Define and execute ETL processes for data integration.
• Create and optimize SQL queries for reporting and analytics.

Skills

SQL

Data analysis

Python

PowerShell

Power BI

Statistical methods

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Cloud-based data warehouses

Job description

What You’ll Do

• 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

What You May Need to Be Successful

• Bachelor’s degree in Computer Science, Data Science, or related field
• Minimum two 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

Salary

The salary range for this position is approximately $55,000 - $75,000 base annually.

Benefits

• Professional development opportunities, such as our award‑winning SOAR program
• Generous Paid Time Off Program*
• Volunteer Time Off (VTO) Policy to encourage involvement in philanthropic activities
• Competitive benefits (medical, dental, etc.)
• Global Employee Assistance Program (EAP) available to all team members
• Opportunities to connect with colleagues across six Employee Impact Groups and participate in Employee Experience events throughout the year

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.