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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Engineer - Marketing Analytics - **Company:** Robert @ - **Location:** Milwaukee, WI, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Third Normal Form, Business Analytics Applications, Data Analysis, Business Intelligence Development, Profiling, Databases, Customer Data Management, Data Discovery, Information Engineering, Data Infrastructure, Data Integration, Data Mapping, Data Profiling, Data Systems, Relational Databases, Database Queries, Dimensional Modeling, JSON, Marketing Information Systems, Microsoft SQL Server, SQL Azure, Power BI, Azure Data Lake, SQL Databases, SQL Server Integration Services, Transact-SQL, Extensible Markup Language (XML), Parquet, Azure Data Factory, Snowflake, Data Analytics, Performance Monitor, Data Management, SQL Server Management Studio (SSMS), Data Pipelines, Alteryx - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=43c2bb97a044dd7d ## About the Role * 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 Technical Experience (Representative, Not Exhaustive) * 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 * Data Formats: CSV, JSON, XML, Parquet 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 ## Description Our Corporate Resource Groups serve as the foundation for our success by providing vital support and specialized expertise to our various business units., Are you curious about how marketing data turns into insights that drive business decisions? Do you enjoy working hands-on with data while partnering closely with business stakeholders? Are you looking to deepen your skills in analytics engineering, data modeling, and modern data platforms?, As we continue to grow our data capabilities at Baird, we are seeking 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 position works closely with Marketing, Analytics, Architecture, and Delivery teams, and is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data. 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 * Follow established practices to ensure sensitive data is protected and handled appropriately 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 * Deliver work incrementally while balancing changing priorities Collaboration, Learning & Growth * Collaborate with delivery team members, architects, and business partners * Communicate clearly about progress, risks, and dependencies * Learn and apply Baird data standards, tools, and best practices * Seek feedback and coaching from senior Data & Analytics Engineers * Continuously build skills through training, documentation, and hands-on experience ## Related Videos - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)