Lead Data Product Analyst

Job Title: Lead Data Product Analyst

Location: Oak Brook, Illinois (hybrid)

Job Summary

We are looking for a Lead Data Product Analyst to join our client in Oak Brook. The ideal candidate will be a highly skilled data professional with expertise in designing, developing, and implementing scalable data solutions. This role requires strong business acumen, technical expertise, and leadership to drive data adoption and maximize business value. The Lead Data Product Analyst will work closely with business stakeholders, data engineers, and architects to align data products with strategic objectives.

Key Responsibilities

• Conduct independent research on all aspects of a product’s experiences and data, providing insights and recommendations on critical data points.
• Own and drive the data product lifecycle from ideation to deployment, ensuring alignment with business goals.
• Lead cross-functional collaborations between business leaders, data engineers, data scientists, and software developers to enhance data accessibility and usability.
• Develop and refine data models, tables, and dashboards to support self-service analytics and business intelligence initiatives.
• Define and implement best practices for data governance, integrity, and quality assurance across data products.
• Act as a thought leader and subject matter expert, advocating for data-driven decision-making and fostering a culture of data literacy.
• Partner with business teams to translate strategic goals into actionable data solutions that support revenue growth, operational efficiency, and customer insights.
• Develop and maintain documentation, training materials, and guidance for data product usage across the organization.
• Mentor junior analysts and contribute to team skill development through training and coaching.
• Evaluate and integrate new data sources and technologies that enhance analytics capabilities.
  
  

Requirements

• Education: Bachelor’s Degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field.
• Experience:
• 8 years in analytics, data product management, or business intelligence.
• 5 years in a business analysis role, working with data solutions that impact business strategy.
• 3 years leading data-driven projects and cross-functional teams.
• Skills:
• Strong proficiency in SQL.
• Experience with data visualization tools (Power BI, Tableau, Qlik).
• Proficiency in SQL, Python, or equivalent analytical tools.
• Experience with cloud-based data environments such as Azure, AWS, or Databricks.
• Strong understanding of data warehouse/data modeling concepts and procedures.
• Excellent problem-solving skills and the ability to synthesize large datasets into actionable insights.
• Hands-on experience with data modeling, governance, and automation of analytics workflows.
• Ability to lead complex projects, manage stakeholder expectations, and drive alignment across teams.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
  

Preferred Qualifications

• Master’s degree in a related field.
• Professional data certifications (e.g., Databricks, Azure, AWS).
• Experience with customer-facing digital platforms, IoT analytics, and SaaS business models.
• Familiarity with project management tools such as Jira, Confluence, or Agile frameworks.
• Experience managing and optimizing data infrastructure in cloud-based environments.
• Working knowledge of Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query.
• Experience with event-driven architectures (Kafka, Event Hubs) and CRM platforms (Salesforce, SAP, Tealium CDP).
• Proficiency in CI/CD, source control, and software/technology environments.