Project Management Associate
Jobgether · Remote · India only
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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Entry-level (years not stated)
- Where you can live
- India only
- Skills and tools
- zoho, excel, power bi, data analysis, customer success, onboarding
- Degree or licence
- Mentioned (degree in)
- Job type
- Full-time
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Job details
- Where you can work
- India
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- Entry-level (years not stated)
- Employer publication date
- 29 October 2026
- First recorded by Psst
- 2 November 2026
- Last checked at the source
- 3 November 2026
About the job
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Project Management Associate based in India.
Join a customer success team delivering innovative AI solutions that help global retailers and consumer goods companies optimize in-store execution. As a Project Management Associate, you will support the implementation and delivery of data-driven projects, working at the intersection of project management, analytics, engineering, and customer success. You will transform complex datasets into accurate, actionable insights that help customers understand performance and return on investment. Using Excel and business intelligence tools, you will contribute to reporting, data validation, and operational efficiency across multiple projects. This opportunity is ideal for an analytical, proactive professional eager to take ownership of responsibilities and develop practical project delivery skills. You will collaborate with cross-functional teams in a fast-paced, technology-driven environment while gaining exposure to AI-powered retail solutions.
Accountabilities
As a Project Management Associate, you will support end-to-end project delivery by managing data workflows, maintaining reporting accuracy, and coordinating with internal teams to ensure successful customer implementations. Your responsibilities will include:
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Data Analysis and Excel-Based Calculations: Process raw AI-generated outputs and transform them into accurate, customer-ready insights using advanced Excel functions, including VLOOKUPs, pivot tables, conditional logic, and complex formulas.
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Dataset Management: Analyze, organize, and reconcile large, multi-sheet datasets containing quantitative performance metrics and qualitative store execution information.
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ROI Analysis and Reporting: Translate project delivery metrics into measurable return-on-investment figures by applying business logic and validating calculations.
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Project Operations and Onboarding: Take ownership of assigned tasks within customer onboarding, ensuring data feeds, reporting processes, and operational requirements are completed accurately and on time.
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Task and Deadline Management: Coordinate multiple project components simultaneously, prioritize competing responsibilities, and meet deadlines across different customer engagements.
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Operational Ownership: Independently manage defined project activities from initiation through completion, ensuring reliable execution within your area of responsibility.
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Quality Assurance: Maintain rigorous quality control over datasets, calculations, and reports to ensure accuracy, consistency, and data integrity before sharing results with customers.
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Problem-Solving and Process Improvement: Identify potential roadblocks in data processing workflows, investigate operational issues, and proactively recommend solutions before problems escalate.
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Product Knowledge and Implementation Support: Develop a strong understanding of the product to troubleshoot operational challenges and support tailored solutions for customer-specific requirements.
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Cross-Functional Coordination: Work with Data Operations, Engineering, and Project Managers to resolve data issues, coordinate information flow, and keep projects progressing efficiently.
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Presentations and Stakeholder Communication: Help prepare professional, customer-facing presentations that communicate analytical findings, project performance, and actionable insights. Support presentations to internal teams and, occasionally, customers.
Requirements
The ideal candidate is analytical, detail-oriented, and proactive, with strong Excel skills and a willingness to take responsibility for project outcomes. The following qualifications and capabilities are expected:
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Strong proficiency in Microsoft Excel, including lookup functions, pivot tables, conditional logic, and the ability to build, troubleshoot, and maintain complex calculation models.
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Ability to work confidently with large datasets containing both numerical metrics and descriptive information, using Excel to manipulate, reconcile, and synthesize data.
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A high level of personal accountability, with a commitment to delivering accurate, reliable work within agreed deadlines.
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A proactive, action-oriented mindset, including the ability to identify process improvements, ask clarifying questions, and move tasks forward independently.
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Strong analytical and problem-solving skills, with the ability to investigate discrepancies and develop practical solutions.
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Excellent written and verbal communication skills, including the ability to explain findings clearly and collaborate with different teams.
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Good organizational and prioritization skills, with the ability to manage multiple tasks and deadlines in a fast-paced environment.
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Adaptability, enthusiasm for technology, and eagerness to learn new tools and processes.
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A degree in Business, Economics, Finance, Data Science, or a related field is preferred.
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A project management certification, or current enrollment in a relevant certification program, is an advantage.
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Previous experience demonstrating initiative and ownership through internships, academic projects, extracurricular activities, or professional responsibilities is beneficial.
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Familiarity with business intelligence tools such as Power BI or Zoho Analytics is helpful.
Benefits
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Fully remote working arrangement.
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Full-time employment with an opportunity to gain hands-on experience in AI-powered retail technology.
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Practical exposure to project management, customer success, data analytics, and business intelligence.
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Opportunities to develop advanced Excel skills and gain experience with reporting and analytical tools.
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Cross-functional collaboration with Data Operations, Engineering, and project delivery teams.
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Opportunities to take ownership of meaningful projects and develop problem-solving and stakeholder management skills.
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Exposure to international customers and customer-facing project delivery.
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Scheduled working hours from 7:00 AM to 4:00 PM.
How Jobgether works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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