Data Analyst - Magnit : Job Details

Data Analyst

Magnit

Job Location : Fairport,NY, USA

Posted on : 2025-09-12T10:25:48Z

Job Description :

Job Title: Process Improvement Data Analyst

Position Details:

  • Work Location: 60 O'Connor Road; Fairport, NY 14450
  • Consultant will be required to be onsite 4-5 days/week during the training period and once complete, a hybrid work schedule of 3-4 days onsite & 1-2 days remote.
  • Work Schedule/Hours: Full-time, M-F, 8 am-5 pm.
  • Interview Process: First Round Phone Screen, Second Round Video or Onsite Interview.
  • 12-months contract with possibility of extension based on demand.

Scope of Position:

  • Support the Project/Program Management group in driving process improvement initiatives across the organization.
  • This Analyst will play a critical role in enabling data-driven decision-making by developing and maintaining metrics, dashboards, and digital workflows.
  • The role will focus on enhancing visibility into project performance, resource utilization, and process efficiency through tools like Power BI, Planview, Power Apps, Power Automate, and SharePoint.
  • The ideal candidate will have a strong analytical mindset, experience with Microsoft 365 Power Platform tools, and the ability to collaborate across functions to support continuous improvement.

Key Responsibilities:

  • Develop and maintain dashboards and reports using Power BI to track key performance indicators (KPIs) and project metrics.
  • Support the migration of project management data and workflows from SharePoint to Planview, ensuring data integrity and usability.
  • Assist in the transition of SharePoint 2016 content to a modern SharePoint environment, including workflows, lists, and document libraries.
  • • Design and implement Power Automate workflows to streamline manual processes and improve operational efficiency.
  • Support the development of Power Apps to digitize forms and enable mobile-friendly data entry and tracking.
  • Collaborate with process improvement teams to gather requirements and translate them into actionable data and automation solutions.
  • Ensure data quality and consistency across systems by developing validation rules and performing regular audits.
  • Document processes, create training materials, and support onboarding of team members to new tools and systems.
  • Provide ad hoc analysis and reporting to support decision-making and strategic planning.
  • Stay current with updates and best practices in Power BI, Power Apps, Power Automate, Planview, and SharePoint.

Required Education/Qualifications:

  • Bachelor's degree in business Analytics, Information Systems, Engineering, or a related field. (preferred). Associate's degree (minimum required) plus relevant experience.
  • 3-5 years of experience in a data analysis, business intelligence, or project support role.
  • Proficiency in Microsoft 365 Power Platform, including Power BI, Power Apps, and Power Automate.
  • Experience with Planview or similar project portfolio management tools.
  • Familiarity with SharePoint administration and workflow migration.
  • Strong communication and collaboration skills.
  • Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.
  • Fluent in written and spoken English.

Required Skills:

  • Strong analytical and problem-solving skills.
  • Experience in data visualization and storytelling with Power BI.
  • Understanding of project management principles and tools.
  • Ability to work independently and as part of a cross-functional team.
  • Detail-oriented with a focus on data accuracy and quality.
  • Technically curious and eager to learn new tools and technologies.

Desired Skills:

  • Experience with Planview configuration and reporting.
  • Knowledge of data governance and master data management concepts.
  • Familiarity with process improvement methodologies such as Lean or Six Sigma.
  • Experience working in a manufacturing or operations environment.
  • Exposure to ETL processes, data modeling, or cloud-based data platforms.

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