Senior Data Analyst (People Analytics)

Job Title: Senior Data Analyst Location: Remote USA - East Coast and West Coast and Mountain Preferred Duration: 12 Months with possibility for extensions. Top 3 must-have skills: • Must have intermediate/advanced Microsoft Excel skills (conditional formulas and formatting, charting, pivot tables, VLOOKUP, etc.) • Experience with data management, specifically with validating and auditing data and reports from multiple systems • Pull, organize, and analyze relevant data from multiple sources, and use tools and programming languages such as Tableau, Hive, Excel, Workday, and Visier • Experience manipulating large data sets through statistical software or other methods Good to have skills: • Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality Qualifications • 5+ years of experience with SQL (or similar language aimed at querying relational databases) • 5+ years of experience creating custom reports/dashboards and building visualizations in Tableau data visualization tools (SQL, R, Tableau, SASS, etc.) • BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent work experience • Must have intermediate/advanced Microsoft Excel skills (conditional formulas and formatting, charting, pivot tables, Vlookup, etc.) • Experience with data management, specifically with validating and auditing data and reports from multiple systems • Experience manipulating large data sets through statistical software or other methods Responsibilities: • Document reporting requirements with stakeholders, and partner with People Insights and People Analytics on iterations and changes to core dashboards and solutions • Pull, organize, and analyze relevant data from multiple sources, and use tools and programming languages such as Tableau, Hive, Excel, Workday, and Visier • Partner and align with cross-functional teams such as Research, Forecasting Analytics, and Engineering in executing best practices in data gathering and analytics • Collaborate with business partners to create dashboards that display meaningful and actionable key performance indicators (KPI’s) • Translate data and trends into stories to drive business decisions • Create visualizations from which leaders can easily draw insights and recommendations • Triage requests for people data and ad hoc reports, prioritize requests, and effectively communicate appropriate delivery expectations • Maintain codebase (SQL) used to drive self-service tools, and recommend opportunities for improvement • Build and automate easy to use, self-service reports and dashboards • Provide direction and coaching to end users on how to use and interpret metrics • Deliver standard reports/dashboards on a regular cadence • Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality