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An innovative firm is seeking a Senior HR Data Analyst to leverage data analytics in driving business performance. This fully remote role requires expertise in Power BI and a strong background in data analysis. You will collaborate with various HR partners and stakeholders to create actionable insights, design dashboards, and ensure data integrity. If you're passionate about using data to influence strategic decisions and thrive in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking team and contribute to impactful HR analytics projects that shape workforce strategies.
Our client is seeking a Senior HR Data Analyst for a Fully Remote 3+ monthcontractwith possible extension.
***While this role is fully remote, the candidate MUST be located in New Jersey***
Will be responsible for analyzing and presenting employee data to improve workforce decisions in innovative ways that drive business performance and growth. You will collaborate with HR partners and business stakeholders to identify critical questions, design and build dashboards, and translate data into insight.
• Design and enhance Power BI dashboards using data visualization best practices.
• Partner with HR partners and functional teams (e.g. Finance, IT, Legal, Sales, Marketing, and M&A) to understand their business needs and translate them into actionable HR analytics projects.
• Develop and maintain a deep understanding of HR data sources and ensure data quality and integrity.
• Prepare and stage data for analysis (i.e., data wrangling, cleaning, transforming, merging, and modeling).
Requirements:
• 5 years of relevant work experience with data and analytics.
• In depth experience with Power BI (DAX, modeling, measures, automation) required
• Proficient in Microsoft Excel and Google Sheets (e.g., PivotTables, Vlookup)
• Experience with Workday preferred
• Technical capabilities in data wrangling, analytical techniques, internal and external benchmarking, and business analysis preferred.
• Familiarity with coding languages such as SQL, Python, or R preferred
• Experience in building and optimizing data warehouses, pipelines, and models preferred.
• Experience with Google BigQuery preferred
Compensation / Pay Rate (Up to): $55.00 - $60.00 Per Hour