Commercial Data & Analytics Product Owner

About the Role

Key Responsibilities

• Set and execute the commercial data and analytics measurement strategy, ensuring alignment with business objectives and continuous improvement initiatives.
• Define and prioritize the data & analytics product backlog, translating requirements into user stories and acceptance criteria.
• Collaborate with stakeholders to gather requirements and develop interactive dashboards and reports in Looker Studio and Tableau Cloud.
• Lead the strategy and integration of a Customer Data Platform (CDP) to unify customer data across touchpoints for personalized experiences.
• Partner with technical teams to define and evolve the data model supporting the end-to-end customer journey.
• Enable seamless data access and interoperability between platforms such as Salesforce, SAP Commerce Cloud, and Databricks.
• Develop and manage the technical product roadmap and serve as the technical lead on projects.
• Collect, clean, and validate large datasets from platforms including Google Analytics, Google BigQuery, and enterprise data lakes.
• Monitor platform health and troubleshoot issues related to commercial analytics platforms.
• Work with cross-functional teams to understand data needs and provide relevant insights.
• Present analytical findings and recommendations to stakeholders clearly and effectively.

Requirements

• Experience working with enterprise data lakes, preferably Databricks.
• Solid understanding of statistical principles.
• Excellent written and verbal communication skills.
• Strong problem-solving and critical-thinking abilities.
• Experience with statistical modeling and predictive analytics.
• Proficiency in programming languages such as Python or R.
• 2+ years of experience as a developer, engineer, or relevant role.
• Ability to manage multiple tasks and projects effectively.
• Understanding of employee engagement metrics, marketing principles, e-commerce operations, and sales processes.
• Strong interpersonal skills and ability to work with cross-functional teams.
• Ability to translate technical language into business language.
• Knowledge of application development and deployment processes.
• Self-starter with proven results-driven mindset.
• Critical thinking and adaptability to change.

Nice to Have

• Proficiency in Google Analytics (GA4 preferred).
• Experience with Google Tag Manager.
• Strong skills in Google BigQuery and SQL.
• Experience creating dashboards with Looker Studio.
• Familiarity with Agile methodologies.
• Master's degree in Data Science, Business Analytics, or related field.
• Experience with CRM platforms like Salesforce.
• Knowledge of data governance and data quality practices.
• Experience in the manufacturing industry or related data.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics) or Marketing with a strong analytical focus.

Benefits & Perks

• Competitive salary range of $89,003.00 - $122,380.00 depending on experience and location.
• Comprehensive health and wellness benefits including medical, dental, and vision insurance.
• Retirement plans such as 401(k) with company matching and a company-paid pension benefit.
• Paid parental leave, family building support, and disability benefits.
• Paid time off (PTO) and company-wide bonuses and incentives.
• Recognition programs and a supportive work environment focused on well-being.