Senior Data Analyst

• Were looking for a Senior Data Analyst who knows how to turn raw data into clear insights that drive smarter decisions and help us hire and retain top talent.
• This role blends analytical depth, data modeling, and strong business partnership across HR, Talent Acquisition, and leadership teams.

What Youll Own

• Build advanced analyses including cohort, scenario, time-series, and predictive models.
• Translate complex findings into clear visuals and narratives using Tableau or Power BI.
• Partner with stakeholders to clarify requirements and build structured project plans.
• Design data models that define how tables, columns, and data elements connect across systems.
• Work side-by-side with BI engineers to develop scalable, high-performance reporting solutions.
• Write and optimize complex SQL queries to pull data from Snowflake and other data warehouses.
• Validate data quality, perform QA, and investigate discrepancies.
• Troubleshoot data issues and perform root-cause analysis when reporting accuracy is questioned.

What You Bring

• 7+ years in Data Analytics, BI Analytics, or BI Engineering.
• Expert-level SQL skills and experience with cloud warehouses (Snowflake, Redshift, BigQuery , SQL Server, Oracle).
• Strong experience building data models and dashboards in Tableau, Power BI, Looker, or similar tools.
• Solid analytical tool skills (Excel, Google Sheets, etc.).
• Degree in Data Analytics, Data Science, Information Systems, Statistics, Computer Science, or related field.
• Comfortable collaborating across teams and time zones.

Nice to Have

• Experience in People Analytics or HR analytics functions.
• Hands-on familiarity with HR systems like Workday, Greenhouse, iCIMS, or Qualtrics.
• Strong communication skills and confidence working directly with senior stakeholders.

Skills

• SQL (advanced), Snowflake (or equivalent cloud data warehouse), Tableau, Power BI, Data modeling, Dashboard development, Cohort analysis, Time-series analysis, Predictive analysis, Excel/Google Sheets (advanced formulas, pivots), Data validation/QA, Root-cause analysis, Stakeholder communication, Project scoping and requirements gathering