Responsibilities

• Assist with the creation and ongoing management of data tables for use in various data applications.
• Collaborate with IT partners to complete data table creation and management work.
• Work with Analytics, IT, and Marketing stakeholders to build, optimize, scale, and manage the Business Intelligence ecosystem.
• Collaborate with internal stakeholders and agency or vendor partners to ensure alignment with Marketing Analytics perspectives.
• Champion a hybrid Service and Self-Service analytics model within Marketing and Communication.
• Educate peers while building analytics solutions to support self-service capabilities.
• Manage workspaces, data refresh processes, and dataflow creation.
• Improve data processing efficiency including automation where possible.
• Improve taxonomy, processes, and technical infrastructure that support organizational data work.
• Ensure alignment with institutional standards and governance best practices.

Requirements

• Three (3) or more years of experience working in Analytics, Data Engineering, or a similar field.
• Deep familiarity with SQL and various downstream data applications including business intelligence tools.
• Ability to understand the context of data and apply it to inform business analysis.
• Strong verbal and written communication skills with the ability to synthesize sophisticated information and convey complex ideas in an accessible manner.
• Intrapreneurial mindset with a focus on continuous improvement in deliverables and processes.
• Experience with Databricks as a data warehouse/lakehouse solution and using dbt within it (to build pipelines and tables).
• Proficiency working with SQL, Github, and .yaml files.

Preferred

• Experience with Marketing data is preferred. It’ll save us a lot of time if we can spend less effort explaining the context of certain systems to our new hire.
• Experience with PowerBI and its related ecosystem (Power Platform) is highly preferred.
• Additional coding experience which could be a value-add to a marketing organization is a plus.