Product Data Analyst

🕒 June 28

🇺🇸 United States – Remote

💵 $55k - $75k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

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Logo of First Advantage

First Advantage

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

HR Tech • SaaS • B2B

First Advantage is a leading provider of global software and data for the HR technology market. Enabled by proprietary technology and AI, it delivers employment background screening, digital identity and verification services, APIs, and risk-monitoring products across the employee lifecycle. The company emphasizes automation and continuous identity verification, serving roughly 80,000 organizations in over 200 countries and territories, and maintains large proprietary databases (over one billion records). Headquartered in Atlanta and publicly traded (NASDAQ: FA), First Advantage focuses on helping customers hire smarter and onboard faster through software, data and services.

📋 Description

• The Product Data Analyst will plays a crucial role in driving data-driven decision-making across the Product Solutions organization • 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

🎯 Requirements

• 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

🏖️ 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

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