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2 results for Data Entry Specialist in Bloomington, MN

Data Analyst

Minneapolis, MN
onsite
Temporary / Contract
45 - 65 USD / Hourly
We are looking for a meticulous Data Analyst to join a manufacturing organization in St. Louis Park, Minnesota on a Long-term Contract assignment. In this role, you will examine complex customer records, verify company connections through research, and create clear account hierarchies that improve data quality and usability. This position is well suited to someone who enjoys investigative analysis, works carefully in Excel, and can bring order to high-volume information with consistency and accuracy. Responsibilities: • Analyze customer data files in Excel to identify organizational relationships and map links between parent companies, subsidiaries, and related entities. • Research publicly available sources to confirm ownership structures, legal relationships, and account alignment across business records. • Build accurate company hierarchies for priority accounts and organize findings into a format that supports reliable business use. • Clean and standardize inconsistent customer information so records can be used more effectively by downstream teams and platforms. • Prepare validated datasets for transfer into business systems, including Salesforce and enterprise data repositories. • Work closely with internal stakeholders to align on hierarchy rules, data handling methods, and account research outcomes. • Apply established procedures while managing detailed investigative tasks independently and maintaining a high level of accuracy. • Support data improvement efforts tied to source information from Snowflake and other organizational systems, using Excel as the primary working tool.
2026-08-20T00:00:00Z

Data Solutions Engineer

Minneapolis, MN
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making. Responsibilities: • Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration. • Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes. • Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources. • Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs. • Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases. • Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency. • Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives. • Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions. • Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
2026-08-21T00:00:00Z