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2 results for Data Analytics Manager in St. Cloud, MN
- South Haven, Minnesota
- onsite
- Temporary / Contract
- 23 - 27 USD / Hourly
- We are looking for an IT Financial Analyst to join a team in South Haven, Minnesota on a Long-term Contract basis. This opportunity is well suited for someone who enjoys working with detailed information, improving data quality, and supporting reliable reporting across business systems. The role focuses on maintaining accurate records, reviewing imported information, and partnering with cross-functional teams to keep data aligned with operational needs.<br><br>Responsibilities:<br>• Transfer and reconcile engineering and manufacturing data across multiple business applications, including spreadsheets and enterprise systems.<br>• Examine uploaded records to confirm completeness, accuracy, and consistency before information is finalized.<br>• Investigate mismatched or incomplete data, correct routine issues, and escalate more complex problems to the appropriate technical or engineering teams.<br>• Validate key production details such as part identifiers, material specifications, counts, and related item information.<br>• Keep thorough records of completed updates, corrections made, and exceptions identified during data review activities.<br>• Support dependable information flow between connected systems by following established controls and quality standards.<br>• Collaborate with engineering, drafting, manufacturing, and IT stakeholders during system-related process updates and data activities.<br>• Contribute to the development of data entry methods, workflow guidance, and documentation as procedures evolve.<br>• Participate in testing revised processes, documenting outcomes, and assisting with ongoing data cleanup or special assignments as needed.
- 2026-09-10T00:00:00Z
- Avon, Minnesota
- onsite
- Permanent / Full Time
- 130000 - 190000 USD / Yearly
- <p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
- 2026-09-10T00:00:00Z