Project Management Associate

New
J
JobgetherAI retail technology
Based in IndiaFull-TimeEntry
Salary not disclosed
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Job Details

Required Skills
Project ManagementData AnalysisMicrosoft Power BIMicrosoft ExcelData management

Requirements

  • Demonstrate strong proficiency in Microsoft Excel, including lookup functions, pivot tables, conditional logic, and complex calculation models.
  • Work confidently with large datasets containing numerical metrics and descriptive information.
  • Show personal accountability and deliver accurate work within agreed deadlines.
  • Identify process improvements, ask clarifying questions, and move tasks forward independently.
  • Apply analytical and problem-solving skills to investigate discrepancies and develop practical solutions.
  • Communicate findings clearly in writing and verbally and collaborate with different teams.
  • Organize and prioritize multiple tasks and deadlines in a fast-paced environment.
  • Adapt to new tools and processes and show enthusiasm for technology.
  • A degree in Business, Economics, Finance, Data Science, or a related field is preferred.
  • Project management certification or current enrollment in a relevant certification program is an advantage.
  • Familiarity with Power BI or Zoho Analytics is helpful.
  • Scheduled working hours are 7:00 AM to 4:00 PM.

Responsibilities

  • Process AI-generated outputs using advanced Excel functions to create accurate, customer-ready insights.
  • Analyze, organize, and reconcile large datasets with quantitative metrics and qualitative store execution information.
  • Calculate and validate return-on-investment figures using business logic.
  • Support customer onboarding by completing data feed, reporting, and operational tasks accurately and on time.
  • Coordinate project components, prioritize responsibilities, and meet deadlines across customer engagements.
  • Manage assigned project activities from initiation through completion.
  • Check datasets, calculations, and reports for accuracy, consistency, and data integrity.
  • Investigate workflow issues and recommend process improvements.
  • Coordinate with Data Operations, Engineering, and Project Managers to resolve data issues and keep projects progressing.
  • Prepare presentations communicating analytical findings, project performance, and actionable insights.
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