Data Operations Analyst Jobs in Minnesota (NOW HIRING)

Overall Summary:

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.

Primary Duties/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.

Required Skills/Abilities/Competencies:

• 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
• Understanding of Agile Project Management concepts is preferred
• Proficiency in Microsoft Office, especially Teams, Word, PowerPoint, and Excel

Education and Experience:

• 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
• 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

Physical Requirements:

• Ability to work 8 hours consecutively.
• Prolonged periods of sitting at a desk and working on a computer.

Salary:
The starting salary range for this position is $90,000-95,000. 

At IWCO, base pay is determined by job-related knowledge, skills, credentials, and experience, along with factors such as role scope and location. Candidates seeking compensation outside of the posted range are encouraged to apply and will be considered based on their individual qualifications and/or may be considered for other positions.   

 Pay is influenced by a variety of factors specific to the position, including market conditions and, in some cases, education, work experience, and certifications. Beyond competitive pay, IWCO is committed to supporting our team members and their families with comprehensive benefits. These may include health, dental, and vision insurance, life insurance, and other wellness programs. Eligible employees also enjoy 401(k) plans, paid holidays, vacation time, sick leave, and more. At IWCO, we invest in you so you can take care of what matters most.  

 IWCO is an Equal Opportunity Employer. We welcome diversity and provide equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, veteran status, or any protected status as defined by law. Accommodations are available for individuals with disabilities upon request. Contact our HR Department for more information.