Lead Data Product Analyst

Lead Data Product Analyst

Job Summary This role serves as the primary data product expert, leading the design, development, and implementation of scalable data solutions. The Lead Data Product Analyst collaborates closely with business stakeholders, data engineers, and architects to align data products with strategic objectives. This role requires a strong blend of business acumen, technical expertise, and leadership to drive data adoption and maximize business value. As a key liaison, the Lead Data Product Analyst ensures that business partners can effectively access, interpret, and utilize data to drive decision-making and operational efficiency. Essential Duties and Responsibilities

• Conduct independent research on all aspects of a product's experiences and data, provide findings and recommendations on which data are critical to fully understand the customer experience.
• 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.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.

Requirements

• 8+ years of experience in data engineering, analytics engineering, or data product management, ideally working with product teams
• 3+ years of experience leading data projects, aligning with stakeholders, and turning business or product goals into data solutions and dashboards
• Experience in SQL, Python, or similar
• Experience in Power BI, Tableau, or similar
• Experience in Azure, AWS, GCP, Databricks, or similar
• Clear communicator who can explain technical topics to non technical audiences and partner across engineering, product, and business

Nice to have

• Comfortable acting as the main point of contact for data products, including requirements, design, delivery, and driving adoption
• Deeper Azure ecosystem exposure such as Synapse, Databricks, ADLS, Event Hubs, or Kafka
• Experience in software, digital, SaaS, or IoT product environments
• Exposure to Salesforce, SAP, and CDP tools like Tealium, plus web and marketing analytics tools like Google Analytics or Firebase
• Use of Jira or similar tools, and basic familiarity with modern engineering practices such as source control and CI or CD
• Data or cloud certifications, and experience mentoring others or building data literacy in a team