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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Operations Analyst - **Company:** IWCO Direct - **Location:** Chanhassen, MN, United States - **Salary:** $90,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Agile Methodology, Artificial Intelligence, Customer Data Management, Data Cleansing, Data Security, Data Visualization, File Systems, Python (Programming Language), Microsoft Office, Microsoft PowerPoint, Power BI, SQL Databases, Tableau (Software), Data Processing, Snowflake, Information Technology, Data Analytics, Machine Learning Operations, GPT, Databricks - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=42a4a3957792889d ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)