Data Product Analyst

Sonar•Geneva, IL

16h

About The Position

Sonar is seeking a talented Data Product Analyst (DPA) to join their product data team. The DPA will be responsible for the entire lifecycle of data as a product, from dbt SQL modeling and event-based schema governance to executive storytelling. This role requires a proactive project leader who owns the data relationship for their domain and can impact users through data literacy or lead complex, end-to-end analyses. The ideal candidate enjoys a "full-stack" analytical challenge.

Requirements

3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment.
Proven track record of leading projects with stakeholders, translating business ambiguity into structured data projects.
Experience helping and mentoring other team members.
Hands-on experience with dbt / SQL (modeling, testing, and documentation).
Hands-on experience with data visualization tools (Tableau, Mixpanel, or similar).
Comfort working in a version-controlled environment (Git).
Interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency.
Ability to distill complex findings into executive-ready summaries and visualizations.
Fluent in English, both written and spoken.
Familiarity with data governance practices (PII handling and access control).

Nice To Haves

Experience in Product Analytics or working directly with Product Managers.
Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks).

Responsibilities

Manage data projects from start to finish using agile methodology.
Help stakeholders refine their questions into structured data projects.
Advise stakeholders on measurement, modeling, and tool selection.
Facilitate stakeholder discussions to bridge business goals and technical execution.
Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries.
Build and maintain scalable models using dbt (SQL).
Provide critical reviews of event schemas for the event-based platform.
Leverage Cursor and Git for development, code quality, and version control.
Own the user experience across Mixpanel, Tableau, Metabase, and Atlan.
Onboard and empower users for self-service data access.
Handle ad-hoc requests, including querying specific datasets and providing technical guidance.
Participate in Level 1 technical support, monitoring dbt jobs and Tableau extracts.
Use Jira for roadmap visibility and dbt/Confluence/Atlan for documentation.
Surface data debt, documentation gaps, and tooling friction to improve the data platform.
Ensure high standards for PII handling and security policies are integrated into all deliveries.