Analytics Engineer

Data Engineering & Solution Development

Design, build, and maintain SQL-based datasets, views, and data models that support marketing use cases

Source, profile, and research data already living in the data warehouse to make it campaign-ready

Engineer new data solutions end-to-end, from ingestion through business consumption

Support identity-based and customer-level data use cases (e.g., prequalification strategies, audience growth, net-new identification)

Business Partnership & Strategy

Partner directly with Marketing Operations to enable audience creation, campaign execution, and customer experiences

Collaborate with Marketing Analytics to explain data structures, create new analytical layers, and support executive-level reporting

Translate business questions into technical requirements and scalable data solutions

Present findings, trends, and insights back to marketing stakeholders in a clear and compelling way

Analytics, Dashboards & Controls

Build dashboards and visualizations that show trends, population shifts, and segment performance

Develop internal monitoring and control dashboards to detect data issues (population changes, load failures, anomalies)

Support testing, validation, and quality checks prior to deployment

Operational Support

Coordinate with internal testing and deployment teams to move solutions into production

Contribute to documentation, governance, and ongoing improvements of marketing data assets

Day-to-Day Breakdown

~60%: Data discovery, profiling, research, and business alignment

~20%: Dashboarding and data visualization

~10%: Testing, audits, and data quality controls

~10%: Administrative work and coordination

Bachelor’s degree in Computer Science, Data Science, Analytics, Business, STEM, or related field

Mid-Senior level with 5+ years of professional experience

3+ years of experience working with marketing data in one of the following contexts:

Marketing analytics (financial services preferred)

Marketing operations data

IT or data engineering supporting marketing teams

Strong understanding of how marketing teams use data daily (campaigns, segmentation, testing, measurement)

Advanced SQL skills, including writing queries from scratch

Ability to explain not just how data works, but why it exists and how it should be used Experience working with Customer Data Platforms (CDI/CDP) or identity resolution vendors

Familiarity with identity stitching and customer-level data unification

Strong experience with Snowflake, including:

Window functions

Complex joins

Large CASE statements

Experience with:

Power BI

Python

AWS cloud services

SAS