Data Analyst

Essential Functions: • Collaborate with Product and Analytics teams to use a combination of exploratory and descriptive analytics to inform product strategy and roadmap, and provide ad-hoc analyses that uncover root cause of recent business trends. • Understand data infrastructure and coordinate with Data Engineering to deliver data models and structures to meet business demands. • Assist in the design of relevant data models, including outlining dimensions and measures needed, for answering business questions. • Establish and implement product data standards and best practices in order to optimize the data collection, fidelity and accuracy. Develop product measurement plans and dashboards to monitor metrics and KPIs. • Support Sales in deploying and documenting internal dashboards and reporting. • Ensure optimization and validations initiatives are implemented, tracked and reviewed postproduction. • Shape, explore and publish data for business analysis or stakeholder initiatives using core Business Intelligence (BI) tools. • Other duties as assigned. Minimum Qualifications • 3+ years of experience in using data and analytics to drive business decisions, preferably in a sales or commercial setting. • Experience with cloud-based data warehouses (e.g., AWS Redshift, Snowflake, BigQuery). • Advanced SQL concepts including joins, CTEs, case statements, stored procedures, data writing, window functions, etc. • Experience building and maintaining Tableau dashboards and reports for business stakeholders. • Experience with working with and optimizing data ELT/ETL processes. • Ability to translate technical data into actionable insights for non-technical stakeholders (e.g., sales rep, managers). • Experience with creating ad-hoc reports based on business questions and requirements. • Comfortable working in a fast-paced environment with shifting priorities and quick turnaround requests. Preferred Qualifications • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or related field. • Experience with SalesForce (or other CRM systems) and its data. • Experience with sales KPIs and reporting metrics (e.g., win/loss rates, conversion %). • Experience with creating or modifying database tables to support reporting. • Experience with Python, R, or VBA (e.g., automating report refreshes, data quality checks). • Experience with scheduling/report automation tools like (e.g., Airflow, Redwood, Tableau Server scheduling). • Strong Excel skills for quick ad-hoc data analysis, validation, or visualization.