Data Science Operations Analyst

Updated•Chanhassen, MN

11d•Onsite

About The Position

The Data Science Operations Analyst plays a key role in supporting data-driven direct marketing campaigns that deliver highly targeted, performance driven results. This position is responsible for supporting the data foundation behind campaign execution and advanced analytics, focusing on hands-on execution of recurring data processes that support campaign delivery at scale. Working closely with cross-functional teams, the Data Science Operations Analyst support audience segmentation, data processing, marketing experiments, and analytics initiatives while identifying opportunities to improve efficiency through automation and AI-enabled tools.

Requirements

Demonstrated SQL and Python programming skills
Interest in marketing analytics, customer data, and applied data science
Ability to present analytical findings to a non-technical audience through reports, dashboards and presentations
Ability to translate complex datasets into clear actionable insights by using data visualization and story-telling techniques
Ability to manage multiple priorities in a fast-paced, production-oriented environment
Curiosity and a mindset of continuous improvement
Strong communication skills and ability to build relationships
Bachelor’s degree in Data Science, Marketing Analytics, Statistics, Computer Science. or a related field (or equivalent experience)
Experience with Business Intelligence tools such as Tableau or Power BI

Nice To Haves

Understanding of Agile Project Management concepts is preferred
Familiarity with AI tools and applications in data workflows
Experience with modern cloud platforms such as Snowflake and Databricks is preferred
Experience applying Data Science to real business problems is preferred

Responsibilities

Execute data preparation and campaign operations, including audience segmentation, list generation, file processing and data appends
Support test design execution and development of measurement datasets for marketing experiments
Leverage AI tools (e.g. Copilot, ChatGPT, Claude) to streamline workflows, automate repetitive tasks, and improve speed and accuracy
Perform data manipulation, cleansing and quality validation to ensure readiness for marketing campaign execution
Identify opportunities to enhance processes through automation and improved data practices
Collaborate cross-functionally with Data Science, Marketing and Operations teams to deliver high-quality client outcomes
Adhere to IWCO standards for data security, governance, and operational excellence
Perform other (or other related) duties as applicable or assigned.