Senior Data Product Analyst - AI-Driven Analytics

YipitData; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible work hours

401K match

Parental leave

Job summary

YipitData, a leading data analytics firm, seeks a Senior Data Analyst to join the Data Feeds team in the United States. You will own commercial data products from methodology to client delivery, and work closely with Product Managers, Central Data, Data Science, Engineering, and Client Strategy to continuously improve client value.

You will help design AI-powered workflows, evaluate new data sources, and translate customer feedback into durable product improvements.

Qualifications

• 4+ years of experience in data analytics or a similar role.
• Advanced SQL skills with experience in Python or PySpark workflows.
• Ability to design and own data products end-to-end.
• Strong analytical judgment and cross-functional leadership.
• Comfort with messy datasets and building scalable analytical systems.
• Experience using AI tools to improve analytical workflows.

Responsibilities

• Own commercial data products end-to-end from methodology to client delivery.
• Improve product quality through robust QA, monitoring, and validation.
• Shape product evolution with Product, Data Science, and Central Data.
• Evaluate new data sources and methodologies for production use.
• Turn customer feedback into durable product improvements.
• Leverage AI to redesign analytical workflows and experiences.
• Build the next generation of data products and client workflows.

Skills

SQL

Python/PySpark

Data analytics

Cross-functional projects

AI tools

Job description

YipitData, a leading data analytics firm, seeks a Senior Data Analyst to join the Data Feeds team in the United States. You will own commercial data products from methodology to client delivery, and work closely with Product Managers, Central Data, Data Science, Engineering, and Client Strategy to continuously improve client value.

You will help design AI-powered workflows, evaluate new data sources, and translate customer feedback into durable product improvements.