Data Analyst, People Analytics

Responsibilities

• Partner with HRBPs and cross-functional leaders to analyze, and present key trends across the end-to-end employee lifecycle (sourcing, hiring, engagement, performance, attrition).
• Assist in efforts to define, socialize, and govern a standard set of people metrics, reporting templates, and definitions to ensure a single source of truth and organizational consistency across all people data reporting.
• Help design, develop, and maintain reproducible and automated people analytics solutions (e.g., R Shiny dashboards) to empower the People team and leadership in building a best in class employee experience.
• Continuously research, evaluate, and implement emerging analytics tools, AI techniques, and innovative data visualization strategies to deliver smarter, faster, and more impactful insights to our stakeholders
• Maintain security models on products built within our People Analytics platform
• Actively contribute to the People Analytics strategy and roadmap development by providing high-impact insights on a quarterly basis for Quarterly Business Reviews.
• Proactively propose new metrics, research areas, and innovative strategies to improve people programs and measurement.
• This role requires
• 2+ years of relevant data analysis experience, with a proven track record of developing dashboards and communicating key insights different levels of management and non-technical audiences
• Proficiency in using data analysis tools (Python and/or R), along with the technical ability to navigate and implement open-source tool documentation
• Experience writing performant SQL queries on large data sets
• Proven ability to drive complex projects from concept to delivery with guidance, using strong time-management and organizational skills, and effectively communicate the "what, why, and what's next" of your analysis to influence diverse stakeholders
• Experience integrating Generative AI (like Gemini) into daily analytical workflows to accelerate R/Python code development and build analytical solutions
• Bonus points if you have
• Experience working in People/HR Analytics
• Familiarity with cloud-native databases, preferably Snowflake
• Experience with people analytics software (Visier, One Model, or similar BI tools)
• Experience developing scalable reporting solutions/products that are intuitive to use
• Experience with datasets from the following tools: Workday, Greenhouse, Culture Amp, and/or Litmos
• Please note that visa sponsorship is not available for this position.
• #LI-JH1 #LI-REMOTE
• The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.
• Estimated Base Pay Range
• $102,000 - $128,000 USD

Benefits

Additional Information

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Become part of the People Analytics function as our new People Analytics Analyst. We are looking for someone who will be committed to ensure that New Relic is, and is known to be, a uniquely great place for everyone to do their best work! Projects will directly improve the full employee life-cycle at New Relic as we use data to understand and improve our hiring processes, retention, employee performance and engagement. Collaborate across multiple teams, within the People organization, and be a key contributor by building dashboards and providing analytical findings to help track goals and uncover areas for improvement. If you are passionate about digging into data and providing insights that tie People data back to the business, then this role is for you!

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