<p>We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.</p><p>• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.</p><p>• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.</p><p>• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.</p><p>• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.</p><p>• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.</p><p>• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.</p><p>• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.</p><p>• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.</p><p>• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.</p>
<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>
We are looking for a People Analytics Analyst to support data-informed workforce decisions for a leading organization in the entertainment industry based in Chanhassen, Minnesota. This Long-term Contract position is ideal for someone who combines analytical expertise with a strong understanding of human resources data, reporting, and stakeholder partnership. In this role, you will turn complex people data into meaningful insights that help leaders strengthen workforce planning, improve employee experience, and guide strategic decisions across Human Capital functions.<br><br>Responsibilities:<br>• Partner with HR leaders and cross-functional stakeholders to define meaningful workforce metrics and measure performance across areas such as staffing, learning, compensation, payroll, and broader people strategies.<br>• Analyze large and varied people data sets using advanced analytical methods, predictive techniques, and visualization tools to uncover trends and provide practical recommendations for business leaders.<br>• Create, enhance, and manage dashboards and recurring reports that clearly communicate key Human Capital indicators, patterns, and outcomes to stakeholders.<br>• Work closely with technology teams to connect data from multiple platforms and maintain reliable access to accurate information for reporting and analysis.<br>• Maintain high standards for data governance by protecting confidentiality, supporting compliance requirements, and promoting responsible use of employee information.<br>• Build and maintain reports within Workday and ServiceNow to support ongoing operational and strategic reporting needs.<br>• Translate analytical findings into clear business insights that help senior leaders make informed decisions about workforce priorities and organizational effectiveness.
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.
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.