Senior Data Product Analyst - Remote

Jobicy; Northern (KY); Hybride; USD 120 000 - 165 000; Plein temps

Avantages offerts par ce poste

401K match

Flexible work hours

Parental leave

Learning reimbursement

Wellness budget

Résumé du poste

YipitData is hiring a Data Product Analyst to own end-to-end data quality and analytics for corporate retail clients. You will work independently on large datasets, design QA processes, and partner with Insights and Engineering to deliver accurate, reliable insights.

The role requires client-facing communication and strong SQL, Python, and PySpark skills. You will collaborate across teams to improve product attribution, data coverage, and methodologies, while managing multiple projects with a

Qualifications

• 4-6 years of data analytics, data operations, or consulting.
• 4+ years of SQL, Python, PySpark experience; Github and Databricks familiarity.
• Experience using sample or panel data for precise estimates.
• Ability to clearly communicate complex data concepts in writing and speech.
• Strong ownership mindset and ability to manage multiple client projects.

Responsabilités

• Own high-impact data deliverables for corporate retail clients.
• Design, maintain, and run comprehensive QA processes across sector products and client deliverables.
• Collaborate with Insights and Engineering to align on best practices and client value.
• Investigate and resolve complex data quality issues across pipelines and sources.
• Mentor peers and raise data quality and process standards.

Connaissances

SQL

Python

PySpark

Data Quality Assurance

Data Analysis

Data Pipelines

Panel Data Analysis

Client Communication

Cross-functional Collaboration

Outils

Github

Databricks

Description du poste

YipitData is hiring a Data Product Analyst to own end-to-end data quality and analytics for corporate retail clients. You will work independently on large datasets, design QA processes, and partner with Insights and Engineering to deliver accurate, reliable insights.

The role requires client-facing communication and strong SQL, Python, and PySpark skills. You will collaborate across teams to improve product attribution, data coverage, and methodologies, while managing multiple projects with a