Data & Reporting Analyst - Wayzata, MN

Only for registered members Wayzata, MN , United States

2 weeks ago

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Job summary

The Data & Reporting Analyst (DRA) is a key member of the technology / operations team. The DRA works with business and technology stakeholders to understand processes, data, and functional requirements to better leverage technology applications, improve efficiency and enhance reporting.

Responsibilities

  • Support the Data and Reporting Manager to design, develop, maintain, and enhance visualizations, analyses, reports, dashboards, workflows, KPIs, and other tools to enable teams to monitor, manage, and audit processes.
  • Serve as business partner to assigned functional teams to understand and define needs and develop solutions to improve efficiency and deliver high value analysis, insight, and reporting for internal and external constituents.
  • Develop an in-depth understanding of Waycrosse practice areas and the supporting technologies to specify clear requirements, design solutions, and implement.
  • Develop and maintain data governance frameworks, flowcharts, and procedures to ensure data integrity, frequency, and accuracy within and between key systems.
  • Participate in complex projects which require technical acumen, expertise, and critical thinking - specifically in data management, connectivity and identify and help deliver improvements to processes with data driven decisions.
  • Train and coach employees to leverage technology tools to optimize effectiveness and efficiency.
  • Serve as a change management champion. Help groups to successfully adapt to changes through communication of benefits, listening, and supporting teams through changes processes.
  • Serve as subject matter expert for assigned applications (i.e. PowerAutomate, Power BI, Clearwater PRISM, Summitas (Financial Dashboard), JD Edwards Reports Now, MS Copilot) to improve processes and efficiencies, train employees and support users.
  • Create, implement, and maintain data connections, tools, workflows, and automation to create efficiencies.
  • Extract, load, and transform data from various sources, such as databases, spreadsheets, and APIs.
  • Create and maintain retrieval queries to extract and manipulate data.
  • Serve as backup to the Data and Reporting Manager.

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