This role leads a team that collaborates with business partners to transform their data needs into solutions by working with data engineers and architects. As the leader, you will ensure business partners understand and utilize data for better decisions through data tables and dashboards. This leader and team are accountable for data products with significant influence on the company's success.
Essential Duties and Responsibilities
- Lead the shift to a data product focus, providing trusted, reliable, and performant data.
- Promote data product adoption through training and hands-on sessions with business analysts.
- Advance best practices and skill development to deliver business value.
- Develop team expertise and build relationships with business partners.
- Collaborate with business leaders, data engineers, scientists, and developers to deliver accurate data.
- Understand business needs, gather requirements, and translate problems into technical solutions.
- Develop data models, tables, and dashboards for insights and informed decisions.
- Design flexible dashboards to answer business questions quickly.
- Advocate for data solutions usable across the organization.
- Conduct independent research on product data and recommend critical data for customer experience.
- Onboard new third-party data sources to improve performance.
- Adopt best practices for analytical insights, ensuring data integrity, testing, and training.
Supervision Exercised
- Lead and motivate a high-performance team.
- Communicate organization information through meetings, emails, and regular interactions.
Experience
- 10+ years in Analytics Engineering or BI, leading projects and building data solutions in the cloud.
- 5+ years managing a team in Analytics Engineering or BI.
- Advanced experience with data visualization platforms like Power BI, Tableau, or Qlik.
- Intermediate experience with Python 3 (Pandas, Polars, Spark) or R for data analytics.
- Experience in self-service analytics, preferably in Azure Cloud, PowerBI, and/or Databricks.
- Experience with large structured and unstructured data volumes.
Knowledge, Skills, and Abilities
- Strong business acumen to identify underlying data needs for impactful insights.
- Proficiency in SQL.
- Understanding of data warehouse/data modeling concepts.
- Ability to lead projects from conception to conclusion.
- Skill in developing and delivering end-user materials.
- Knowledge of Azure cloud-based architecture and PowerBI.
Preferred Qualifications
- Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms like Tealium.
- Skills in web-based data visualization, project management tools (Jira), and source control (BitBucket).