Data & Analytics Engineer – Marketing Analytics

Role Overview

• 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.

Tech Stack

• SQL

Benefits

• Health insurance
• Flexible working hours
• Paid time off
• Professional development opportunities