FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Technical Product Analyst
CentralReach. Partner with ABI and DW Product Managers to refine requirements, define acceptance criteria, support backlog grooming, and support release readiness .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong SQL proficiency for data validation and reconciliation, with hands-on experience in BI reporting tools like Tableau and Power BI. Capable of effectively communicating findings and collaborating with cross-functional teams to enhance data quality and support product decision-making.
Highest-signal resume keywords
SQL ProficiencyBI Reporting ToolsData ValidationAgile/Scrum ExperienceAnalytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ValidationDashboard BuildingData ReconciliationDocumentation SkillsTroubleshootingProcess ImprovementPython
Soft Skills
Communication SkillsAnalytical Mindset
Tools & Technologies
SisenseTableauPower BILookerElasticube StructuresAI-Agent Tooling
Industry Keywords
Healthcare DataEMRsABA-Specific Data
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Partner with ABI and DW Product Managers to refine requirements, define acceptance criteria, support backlog grooming, and support release readiness
- Own SQL-based data validation and metric reconciliation, verifying source-to-target data logic and transformations into elasticubes
- Direct and interpret output from AI-agent QA tooling, design test cases, and follow up on discrepancies
- Investigate reported data discrepancies and production issues, distinguish upstream pipeline problems from BI-layer or presentation issues, and escalate to Engineering when appropriate
- Serve as the front-line owner for internal and external user questions about data and dashboards, triaging and resolving requests or routing them to the appropriate team
- Support regression testing across releases
- Convert recurring manual checks into reusable, documented validation rules and identify opportunities to automate QA and data-quality workflows
- Conduct ad hoc market, competitive, and data-driven research to support Product Manager decision-making
- Maintain documentation of requirements, test cases, validation results, and known issues
- Communicate validation findings, risk areas, open issues, and release-cycle status updates to Product Managers, Engineering, and other stakeholders
Requirements
What you’ll need- 2+ years of experience in a data analyst, BI analyst, QA/data validation, or technical product analyst role
- Strong proficiency in writing and reading SQL
- Ability to validate data against source-to-target logic
- Hands-on experience with BI reporting and visualization tools such as Sisense, Tableau, Power BI, or Looker
- Experience building and maintaining dashboards
- Familiarity with, or ability to quickly learn, elasticube structures and AI-agent tooling
- Experience working within Agile/Scrum development processes
- Strong written documentation skills
- Analytical and troubleshooting skills
- Ability to reconcile discrepancies across multiple data sources
- Excellent communication skills with technical and non-technical audiences
- Process-improvement mindset
- Python experience is preferred but not required
- Prior exposure to healthcare data, EMRs, or ABA-specific data is preferred but not required
Benefits
Comp & perks- Competitive compensation
- Comprehensive health benefits
- Generous PTO
- 401(k) matching
- Paid parental leave
- Hybrid work schedules
- Career development support
- Wellness programs
- Opportunities to give back through CR Cares™ community engagement initiative