Note: The job is a remote job and is open to candidates in USA. YipitData is the leading market research and analytics firm for the disruptive economy, and they are seeking a Data Product Analyst to join their Signals team. The role involves prioritizing and vetting new data sources, running customer-facing analysis, and improving data accuracy within a fast-paced environment.

Responsibilities

• Become a core owner of Signals data products – you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform
• Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
• Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
• Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution
• Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
• Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
• Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast—whether that's adding new data to the platform, improving accuracy, or reducing data lag times
• Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
• Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible

Skills

• 4–6 years of experience in data analytics, data operations, consulting, or a related field
• 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
• Familiarity with GitHub and Databricks
• Experience using sample or panel data to make precise estimates that guide decision-making
• Proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving
• Scrappy and resourceful—figure things out without waiting to be told what to do
• Thrive in ambiguity and fast-paced environments where priorities shift, and need to adapt quickly
• Excellent attention to detail and a natural instinct for spotting data anomalies
• Communicate clearly and concisely—both in writing and verbally
• Intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
• Take ownership of problems and drive them to completion without constant oversight

Benefits

• Flexible work hours
• Flexible vacation
• A generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement

Company Overview