Responsibilities
- Support key initiatives, data assets, and projects by collaborating with cross-functional teams (e.g., product teams and projects).
- Source and connect data from multiple sources, understanding data warehouse and database infrastructures.
- Work with large, complex datasets, using tools to transform data and import into various destinations.
- Gather, interpret, and present insightful data to stakeholders at all levels.
- Extract actionable insights and provide tactical recommendations to help internal customers meet their goals.
- Develop complex MI data and delivery solutions using SQL, Excel, Access, Power BI, and VBA, focusing on formula creation and automation.
- Communicate complex technical or migration issues to non-technical stakeholders, ensuring clarity.
- Present results of analysis in sprint reviews, highlighting key implications (“so what?”) for the business.
- Clarify and document business data definitions and requirements, including obtaining and formatting data from legacy systems using Excel, SQL, and Alteryx.
- Take ownership of personal and professional development, staying up to date with new products and data management techniques.
- Demonstrate awareness of relational database structures, principles, and practices.
- Quantify value delivered to internal customers and champion data best practices, providing regular feedback and identifying opportunities for improvement.
- Create insightful dashboards and reports to support business decision-making.
Requirements
- Understanding of Cloud technologies, development approaches, tools, and techniques.
- Experience with project management methods (e.g., agile, waterfall, Scrum).
- Experience working in Product and/or Agile teams.
- Commercial experience in a related sector (e.g., insurance, healthcare) or function (e.g., marketing).
- Experience with data visualization tools (e.g., Power BI).
- Experience in establishing and monitoring KPIs to measure value delivered.
#J-18808-Ljbffr…
