Marketing Data Analyst with SQL, ETL, Large Data Sets, Google BigQuery-Omni Channel Campaigns

Fintech Company Charlotte NC Work HYBRID 3 days onsite Needed ASAP 6 month contract+ Growth Technology Associate - Data Management This is a technical role- Marketing Data Analyst/Engineer with SQL, ETL, large data sets, google BigQuery—Omni channel campaigns About This Role: In this role, the successful candidate will partner closely with engineering, product, analytics, and growth marketing managers to enable, transform, optimize, and enable sophisticated data sets for use across the FinTech ecosystem. Their contributions will help power in-product (web and app) experiences for members, learnings for data models, and audience and personalization for marketing omni-channel marketing campaigns. This role requires some familiarity with our proprietary marketing automation platforms, as well as extensive experience with essential data enablement/management tools such as GitHub and Google BigQuery. The candidate will need to effectively understand the complexities of data pipelines, ETLs, and the flow and impacts of the CK data ecosystem. Key Responsibilities: • Enabling, transforming, and managing data sets for dependent teams. • Identifying and advocating for efficient, accurate, and innovative data solutions. • Providing on-call/after-hours support (as needed) to ensure services dependent on your data are operating smoothly and that owned data sources are functioning properly. • Offering subject matter and technical expertise for transforming and analyzing data. • Streamlining and demonstrating domain expertise for data in the managed ecosystem. • Assisting in troubleshooting and triage for campaign issues with key partnering teams, including Growth Tech, Engineering, Recommendation Systems, Analytics, and Business Intelligence. Role Requirements • 3-5 years of professional experience in a quantitative field. • Excellent communication and collaboration skills with cross-functional teams. • Ability to work on different initiatives concurrently in a fast-paced environment. • Strong familiarity with SQL and other developer-oriented tooling (Github, Airflow, Splunk, Google BigQuery). • Experience using cloud-based BI platforms (Looker, Tableau, etc.). • A proven track record of managing complex projects with multiple stakeholders. • Hands-on, high-capacity doer and multi-tasker. • A technical degree (CS, MIS, Math, Physics, etc.) is preferred. • Experience with Google Cloud Platform.