Analytics Engineer

Details:

• Experience working with Databricks (as a data warehouse/lakehouse solution) and using dbt within it (to build pipelines and tables)is required.
• Inherently, this also means proficiency working with SQL, Github, and .yaml files is crucial.
• Experience working 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.
• Ability to clearly and concisely communicate – through messaging, documentation, and live speaking – is critical.
• 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.

 Required Skills & Experience:

• 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.

 Preferred Skills & Experience:

• Experience working with Microsoft PowerBI, Databricks, dbt.
• Marketing experience.
• Working knowledge of common marketing data types including web or mobile analytics such as Google Analytics and Heap.
• Working knowledge of advertising analytics platforms including Google Marketing Platform, Meta, and The Trade Desk.
• Working knowledge of phone tracking platforms such as Invoca.

Note: About this job, Hours per week 30, Hours per day: 06 Only.