Remote Data Product Analyst for Signals

Yipitdata; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Flexible work hours

401K match

Parental leave

Wellness budget

Learning reimbursement

Job summary

YipitData is seeking a Data Product Analyst to join the Signals team, helping us hit our ambitious 2026 goals. On a small team, you’ll vet data sources, run client-facing analyses, and design product feedback loops to improve accuracy and usefulness.

You’ll ramp up quickly, take ownership, and operate with autonomy, leveraging 4–6 years of data analytics experience and hands-on SQL, Python, and PySpark. This role offers exposure to private investor clients, fast-paced decision-making, and the

Qualifications

• 4–6 years of experience in data analytics or related field.
• 4+ years of experience with SQL, Python, PySpark or similar to explore large datasets.
• Experience with AI tools to improve analysis speed and depth.

Responsibilities

• Own Signals data products and vet new data sources for integration.
• Collaborate with AI and Data Engineering to build and maintain AI tagging systems.
• Design and run QA to validate data across hundreds of thousands of vendors.
• Resolve data quality issues independently on a small team.
• Engage internal and external stakeholders by aligning data methods with client use cases.
• Produce analytical write-ups on vendors, sectors, or trends.
• Collaborate cross-functionally to ship improvements fast and reduce data lag.
• Translate customer feedback into roadmap improvements.
• Identify opportunities to improve efficiency and build AI automation.

Skills

SQL

Python

Pyspark

Data analytics

GitHub

Databricks

Tools

GitHub

Databricks

Job description

YipitData is seeking a Data Product Analyst to join the Signals team, helping us hit our ambitious 2026 goals. On a small team, you’ll vet data sources, run client-facing analyses, and design product feedback loops to improve accuracy and usefulness.

You’ll ramp up quickly, take ownership, and operate with autonomy, leveraging 4–6 years of data analytics experience and hands-on SQL, Python, and PySpark. This role offers exposure to private investor clients, fast-paced decision-making, and the