Partner One Capital
Computer Software
ProductDataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Product Data Analyst at Partner One Capital. Skills: Data analysis, QA for datasets, AI tooling. Manage initiatives to improve data product offering. Investigate data quality issues independently”
What You'll Achieve.
Robust QA processes set up; AI product initiatives shipping without needing close management; Data quality issues resolve faster; Fewer escalations to engineering; Clear communication to CS and customers
Industry & Context.
Identify data integrity risks; Accelerate investigations; Root cause to resolution
What They're Looking For.
Must Have
2-4 years in a technical product management or analytics role, expertise in data analysis (Python, SQL), Experience in QA for datasets, A bias for automating repetitive tasks and reproducibility, Experience using AI tooling to accelerate data analysis, investigation, and documentation, Professional-level English proficiency
Nice to Have
Experience owning or contributing to AI/ML-adjacent product initiatives, Experience with large geospatial datasets, Experience communicating directly with customers
What You'll Do.
Manage initiatives to improve data product offering
Investigate data quality issues independently
How You'll Work.
Team & Collaboration
Work closely with Customer Success, Sales, and Engineering; Provide clear communication with Customer Success and customers; Join customer calls
Communication Scope
Clear communication with Customer Success and customers; Providing written resolution notes
Full Job Description
SafeGraph is a Data as a Service (DaaS) company with one focus: curating the most accurate, precise, and fresh points of interest (POI) database on the planet. We provide product builders, data scientists, and analytics teams with the location data they need to power site selection, transaction enrichment, advertising audiences, competitive intelligence, and more. Our customers include companies like Plaid, Mapbox, Clear Channel — spanning fintech, retail, real estate, adtech, logistics, and government. We’re fully remote, lean by design, and serious about data quality. You will play a critical role in shaping how our data products are built, validated, and trusted. This role combines product thinking with hands-on technical execution - you'll drive AI-powered product initiatives while owning the data quality processes our customers depend on. You'll sit on our Product team and work closely with Customer Success, Sales, and Engineering to identify data integrity risks early, accelerate investigations, and ship better data. ### Key Responsibilities * Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship * Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc) * Design QA procedures to proactively identify and prevent data integrity issues * Build repeatable, automated checks to reduce reliance on manual investigation **Requirements** * 2-4 years in a technical product management or analytics role * Strong expertise in data analysis (Python, SQL) * Experience in QA for datasets * A bias for automating repetitive tasks and reproducibility * Experience using AI tooling to accelerate data analysis, investigation, and documentation * Professional-level English proficiency, as English is the primary working language a
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