Senior Data Analyst [Remote]

Job 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.

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.
• Experience manipulating large data sets through statistical software or other methods.

Education/Experience:

• 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.