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.

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