
Senior People Data Analyst
- New York City, NY
- $115,000-173,000 per year
- Permanent
- Full-time
- Develop and maintain interactive dashboards and reports in Power BI to visualize HR data and metrics.
- Analyze HR data, including workforce demographics, talent acquisition, employee engagement, turnover, and performance metrics.
- Partner with Corporate Data Team to Design, Build and optimize data models using Snowflake and dbt to ensure data accuracy and performance.
- Collaborate with HR, Finance, and IT teams to gather requirements and translate them into effective data solutions.
- Perform data cleansing, validation, and transformation to ensure data integrity.
- Own, execute and collaborate on multiple/concurrent projects and requests, and manage clear expectations with all stakeholders at all times
- Provide actionable insights through detailed analysis and reporting to support strategic HR initiatives.
- Create documentation and conduct training to ensure stakeholders can interpret and use reports effectively.
- Stay updated on best practices and emerging trends in data analysis, visualization, and HR analytics.
- Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field.
- 5+ years of experience as a Data Analyst, with a focus on HR data and metrics.
- Expert in Storytelling with data and metrics
- Proficiency in Power BI for creating dashboards and data visualizations
- Strong hands-on experience with data modeling using Snowflake and dbt or similar tools.
- Advanced SQL experience for data querying and manipulation.
- High level of familiarity with HR systems (e.g., SAP SuccessFactors, Workday, UKG), including their data structures, APIs and endpoint connectors
- Experience with conducting Monthly Business Reviews and presenting to Senior People Team and Business Leaders
- Excellent analytical, problem-solving, communication and presentation skills
- Willingness to work in a fast-paced environment
- Strong Time and Project Management skills to multitask effectively
- Ability to translate business requirements into data-driven solutions.
- Experience with advanced data analytics techniques such as predictive modeling and trend analysis.
- Knowledge of Python or R for data analysis is a plus.
- Certification in Power BI or related analytics tools.
- Report building in SuccessFactors