About This Role
This Product Analyst role supports SLA monitoring and tracking, provider expansion, and automation initiatives, owning operational workflows from end to end. It suits a data-driven individual with strong analytical skills who can identify and resolve process issues.
Responsibilities
- Own operational workflows end-to-end with a strong emphasis on metrics, tracking, and identifying where processes are off track
- Partner closely with product, integrations, and engineering to move work from manual support toward scalable automation
- Monitor SLAs and operational performance across multiple product workflows, flagging misses or anomalies as they emerge
- Investigate root causes behind performance issues and process breakdowns
- Build and maintain actionable reporting and dashboards that surface where processes are on or off track
- Drive the full lifecycle of new provider/connection work, including intake, data mapping, cross-team coordination, parallel run support, and handoff toward automation
- Act as a key point of coordination across the stages of provider expansion, ensuring nothing falls through the cracks
- Partner closely with product, integrations, engineering, and operations teams to identify opportunities to move workflows from manual support to scalable automation
- Communicate progress, blockers, and risks clearly to stakeholders across functions
- Independently run with ambiguous or evolving problems, owning ongoing processes without heavy oversight
- Set a high bar for execution, both in terms of quality and speed
- Drive follow-through on initiatives from identification through resolution
Requirements
- Data-driven, analytical, and operationally minded, with a track record of using metrics to identify and resolve process issues
- Comfortable working in ambiguous, evolving processes where the path isn't always fully defined
- Strong reporting and analytics skills, with experience building and interpreting operational metrics
- Proven experience handling structured data (Excel, CSV, JSON, etc.)
- Comfortable working in process-heavy, operational environments with multiple moving parts
- Able to independently manage and set clear deadlines across multiple simultaneous projects
- Strong written communication skills and ability to clearly document processes so they can be optimized over time
- Comfortable coordinating with multiple parties and building relationships both internally and externally
- Comfortable working with SQL to locate the right data sources, join tables, and build dashboards you can verify and trust — 1+ years of experience working across multiple datasets preferred
- Working knowledge of Python for data analysis, scripting, or automation
