Data Analytics Engineer (Marketing) - No 3rd Parties

No Subcontractors or 3rd party applicants should apply. Also, we cannot sponsor visas for this role. Experienced Data And Analytics Engineer • Summary: Mid or Senior level experience as a data engineer with good data analytics and market data experience. • Duration – Many years for a W2 employee open to the contract to perm hire role. A minimum of 12 months for a straight contractor. • Location – Milwaukee, WI - hybrid setting, working 3 days in the office and 2 days remotely. • Temporary hourly rate: $65-72 W2 +benefits. C2C is an option About the Role We seek a Data & Analytics Engineer (DAE) with a focus on Marketing Analytics. This role is part of our IT Data & Analytics organization and supports marketing‑focused use cases such as campaign performance, customer engagement, and channel analytics. The ideal candidate blends data engineering expertise with business curiosity, strong communication skills, and hands-on experience enabling analytics for Marketing stakeholders. This role is based in Milwaukee, WI and works closely with Marketing, Analytics, Architecture, and Delivery teams. The Impact You’ll Make Marketing Analytics & Business Support • Partner with Marketing teams and analysts to support analytics needs related to campaigns, customer engagement, and performance reporting. • Help translate marketing questions into clear data requirements, datasets, and metrics. • Support analytics use cases such as campaign reporting, segmentation, funnel analysis, and customer insights. • Build familiarity and trust with Marketing Teams about marketing data sources and how they are used across the organization. Data Engineering & Data Management • Contribute to the design, build, and maintenance of data pipelines that ingest and transform marketing data. • Apply data modeling skills (3NF and dimensional) to support analytics‑ready datasets. • Perform data analysis and profiling to understand source data and support quality outcomes. • Develop and validate source‑to‑target mappings and transformation logic. • Implement and test end‑to‑end data solutions under the guidance of senior engineers. Analytics Enablement & Delivery • Support data discovery efforts and help prototype datasets that bring together multiple data sources. • Leverage existing tools to enable reporting and visualization for Marketing users. • Document datasets and transformations to support usability and adoption. Collaboration, Learning & Growth • Collaborate with delivery team members, architects, and business partners. • Communicate clearly about progress, risks, and dependencies. • Continuously build skills through training, documentation, and hands‑on experience. Experience You Will Bring • 5–7 years of experience delivering data and analytics solutions in a collaborative environment. • Experience with data engineering, analytics, or BI development. • Strong SQL skills and familiarity with relational data concepts. • Experience performing data analysis, profiling, and validation. • Ability to work with business partners to understand and support analytics needs. • Curiosity, strong problem‑solving skills, and a desire to grow technically. Highly Preferred (Marketing Analytics) • Exposure to and experience with marketing or customer data (campaigns, digital engagement, CRM, or customer interaction data). • Interest in marketing measurement concepts such as attribution, segmentation, or funnels. • Experience working in a regulated or data‑sensitive environment. Technical Experience (Representative. Not all are required) • Databases / Platforms: SQL Server, Snowflake, Azure SQL Database, Azure Data Lake • Data Integration: SSIS, dbt, Azure Data Factory, or similar tools • Query & Development: SQL, T‑SQL, Azure Data Studio • BI & Analytics Tools: Power BI, Alteryx, or similar • Data Modeling & Governance: Basic 3NF and dimensional modeling, data mapping, data profiling, data quality concepts