Data & Analytics Engineer Marketing Analytics

About the Role

Are you curious about how marketing data turns into insights that drive business decisions Do you enjoy working handson 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 marketingfocused 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 Youll 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 analyticsready datasets.
• Perform data analysis and profiling to understand source data and support quality outcomes.
• Develop and validate sourcetotarget mappings and transformation logic.
• Implement and test endtoend 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 handson experience.

What Youll Bring to Baird

• 57 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 problemsolving 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 TSQL 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 datasensitive environment.

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Baird is committed to diversity and provides employment opportunities to all employees and applicants for employment without regard to race color religion sex pregnancy citizenship national origin age disability military service veteran status sexual orientation gender identity or expression genetic information or any other status protected by law.