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.
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.
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.
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.
Requirements
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.