<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
<p>We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.</p><p>• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.</p><p>• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.</p><p>• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.</p><p>• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.</p><p>• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.</p><p>• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.</p><p>• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.</p><p>• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.</p>
We are looking for a Data Analyst to join a healthcare organization in Bloomington, Minnesota, and turn complex data needs into clear, actionable reporting solutions. This role partners with internal stakeholders to define reporting objectives, develop reliable analyses, and deliver insights that support informed operational and business decisions. The ideal candidate brings strong technical ability, careful attention to accuracy, and a service-oriented approach to improving reporting tools and data usability.<br><br>Responsibilities:<br>• Partner with departments across the organization to clarify reporting goals, uncover the underlying business question, and identify the most effective analytical approach.<br>• Create, maintain, and enhance recurring and ad hoc reports using existing data sources, presenting information in formats that are easy for end users to understand and apply.<br>• Translate user needs into reporting specifications, then coordinate validation and testing to confirm that delivered outputs are accurate and aligned with expectations.<br>• Analyze datasets with appropriate statistical and logical methods to produce meaningful findings that support decision-making.<br>• Explain report content, data definitions, and inclusion or exclusion criteria so stakeholders can interpret results with confidence.<br>• Work with cross-functional teams to identify opportunities for better automation, stronger reporting processes, and more efficient delivery of analytics services.<br>• Troubleshoot reporting issues, correct defects, and implement updates when changes in business logic or system development affect existing outputs.<br>• Maintain documentation for completed requests, update shared libraries and project tracking tools, and support planning activities related to timelines and deliverables.<br>• Perform audits of key reports, assist with analytics database testing, and contribute user stories or feedback to help ensure data accuracy and system performance.<br>• Review report usage trends, provide ongoing user education, and recommend enhancements that increase adoption and improve report functionality.
<p>We are seeking a detail-oriented and analytical Data Analyst to join our team in Maple Grove, Minnesota. This role is responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making, operational performance, and strategic planning. The ideal candidate will have advanced expertise in Microsoft Excel and proven experience in market forecasting, trend analysis, and reporting.</p><p><br></p><p>Key Responsibilities</p><p><br></p><ul><li>Analyze large data sets to identify trends, patterns, and actionable business insights.</li><li>Develop and maintain dashboards, reports, and models to support leadership decision-making.</li><li>Use advanced Excel functions to manipulate, summarize, and analyze data, including:</li><li>PivotTables and PivotCharts</li><li>XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS</li><li>Nested IF statements</li><li>Power Query</li><li>Data validation</li><li>Conditional formatting</li><li>Advanced formulas and financial/statistical functions</li><li>Build and refine market forecasting models to project sales, demand, revenue, and business trends.</li><li>Partner with cross-functional teams to gather reporting requirements and deliver meaningful analysis.</li><li>Monitor key performance indicators and provide recommendations based on findings.</li><li>Ensure data integrity, accuracy, and consistency across reporting systems.</li><li>Present analytical findings to stakeholders in a clear, concise, and business-friendly manner.</li><li>Support budgeting, planning, and strategic initiatives through data-driven forecasting and scenario analysis.</li><li>Identify opportunities to improve reporting processes and increase efficiency through automation and best practices.</li></ul><p><br></p>
We are looking for a detail-oriented Data Analyst to support fee schedule oversight and claims-related analysis for healthcare programs. This Long-term Contract position will focus on monitoring reimbursement updates, identifying discrepancies, and helping maintain accurate configuration outcomes for a distributed team. Based in Minneapolis, Minnesota, this opportunity is well suited for someone who understands procedure coding, public payer reimbursement structures, and data validation in Excel. Flexible daytime hours are available, and the role offers the chance to contribute to high-visibility operational work in a remote environment.<br><br>Responsibilities:<br>• Review monthly Medicaid reimbursement updates across multiple states and document changes that affect fee schedule accuracy.<br>• Track quarterly Medicare fee schedule revisions and translate findings into clear analysis for internal stakeholders.<br>• Analyze daily claims reporting to identify pricing or configuration issues tied to fee schedules and coding logic.<br>• Investigate variances in claim outcomes by comparing procedure codes, payer rules, and reimbursement references.<br>• Support ongoing fee schedule maintenance by validating data elements used in system configuration activities.<br>• Collaborate with a nine-member remote team to monitor operational trends and help resolve reimbursement-related exceptions.<br>• Prepare organized Excel-based summaries, trackers, and audit files to support routine review cycles and issue follow-up.
We are looking for a Digital Strategist to support digital communications and content execution for a legal organization in Minneapolis, Minnesota. This Long-term Contract position focuses on maintaining web content, shaping clear and compelling messaging, and strengthening the organization’s presence across digital channels. The ideal candidate brings a strong grasp of website organization, social media content development, and branded asset coordination, along with strong writing skills for digital audiences.<br><br>Responsibilities:<br>• Manage and update website content to keep pages accurate, organized, and aligned with the overall digital experience.<br>• Structure online information in a way that supports clear navigation, logical page relationships, and effective content tagging.<br>• Create written content for digital platforms, including website copy, email messaging, and audience-focused campaign materials.<br>• Develop and refine LinkedIn posts that reflect brand standards and engage targeted audiences.<br>• Adapt branded social media templates using design tools such as Visme to produce consistent visuals.<br>• Coordinate the selection, formatting, and placement of image files to support web pages and social media content.<br>• Collaborate with internal stakeholders to ensure digital materials are timely, compliant, and aligned with communication goals.