Data & Analytics Engineer - Marketing Analytics

Our Corporate Resource Groups serve as the foundation for our success by providing vital support and specialized expertise to our various business units.

Milwaukee, WI

Information Technology

R2026759

Hybrid

About the Role:

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

What You’ll Bring to Baird:

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

#LI-TA4

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