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.<br><br>Responsibilities:<br>• Analyze customer data files in Excel to identify organizational relationships and map links between parent companies, subsidiaries, and related entities.<br>• Research publicly available sources to confirm ownership structures, legal relationships, and account alignment across business records.<br>• Build accurate company hierarchies for priority accounts and organize findings into a format that supports reliable business use.<br>• Clean and standardize inconsistent customer information so records can be used more effectively by downstream teams and platforms.<br>• Prepare validated datasets for transfer into business systems, including Salesforce and enterprise data repositories.<br>• Work closely with internal stakeholders to align on hierarchy rules, data handling methods, and account research outcomes.<br>• Apply established procedures while managing detailed investigative tasks independently and maintaining a high level of accuracy.<br>• Support data improvement efforts tied to source information from Snowflake and other organizational systems, using Excel as the primary working tool.
<p>Responsibilities:</p><p>• Review queue conditions, staffing coverage, and contact volumes in real time to recommend adjustments that improve response times and productivity.</p><p>• Build and maintain reports using Excel, Power BI, and other monitoring tools to highlight trends, risks, and opportunities for operational improvement.</p><p>• Coordinate with supervisors and workforce teams to support schedule adherence, shift changes, and resource allocation decisions.</p><p>• Analyze performance data to identify gaps in coverage, recurring issues, and opportunities to optimize workforce utilization.</p><p>• Use ticketing and management systems to document concerns, escalate service issues, and support timely operational follow-up.</p><p>• Provide ongoing insight to leadership by summarizing daily performance, service levels, and staffing impacts in a clear and actionable format.</p><p>• Support call center planning activities by contributing data analysis related to staffing needs, operational practices, and process refinement.</p>
<p>We are looking for a Cyber Security Engineer to strengthen and advance our security environment. This role focuses on protecting enterprise systems, networks, cloud platforms, and web-based applications through practical engineering and continuous risk reduction. The ideal candidate brings deep technical expertise, sound judgment in incident response, and the ability to collaborate across teams to improve security operations and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Develop and enhance security controls that protect infrastructure, networks, and business-critical systems from evolving threats.</p><p>• Continuously review security events, investigate suspicious activity, and coordinate timely response efforts to contain and resolve incidents.</p><p>• Confirm that technical environments meet established security requirements and support secure day-to-day system operation and maintenance.</p><p>• Assess potential weaknesses across systems and applications, then drive remediation plans to reduce exposure and prevent compromise.</p><p>• Partner with infrastructure, application, and cloud teams to embed security practices into architecture, deployment, and operational processes.</p><p>• Evaluate emerging cybersecurity tools, attack trends, and defensive practices to recommend meaningful improvements to the organization's security posture.</p><p>• Help ensure alignment with applicable data protection expectations and recognized security standards through controls, documentation, and operational support.</p><p>• Provide technical advice to internal stakeholders on secure configuration, firewall technologies, email security, and broader security best practices.</p>
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.<br><br>Responsibilities:<br>• Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration.<br>• Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes.<br>• Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources.<br>• Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs.<br>• Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases.<br>• Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency.<br>• Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives.<br>• Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions.<br>• Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.