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

Nice to Have Skills & Experience

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

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.