Project Management Associate

Jobgether; India; Remote; INR 500.000 - 900.000; Vollzeit

Benefits dieser Stelle

Fully remote

Zusammenfassung

Jobgether in India seeks a Project Management Associate to support data-driven AI projects for global retailers. You will leverage Excel and BI tools to drive insights, validate data, and enable timely customer implementations.

You will coordinate data workflows, manage datasets, analyze ROI, and contribute to reporting and operational efficiency while developing practical project delivery skills in a fast-paced tech environment.

Qualifikationen

• Strong Excel proficiency with lookup, pivot tables and complex formulas.
• Ability to manipulate large datasets and reconcile data.
• Accountability for delivering accurate, timely work.
• Proactive in identifying process improvements and asking clarifying questions.
• Excellent written and verbal communication; collaborative mindset.
• Preferred: degree in business-related field; certification in PM is a plus.

Aufgaben

• Assist end-to-end project delivery by managing data workflows and reporting.
• Coordinate with internal teams to ensure successful customer implementations.
• Analyze project metrics and translate into ROI insights.
• Handle onboarding tasks and ensure data feeds and reports are on time.
• Prioritize tasks, manage deadlines, and communicate progress to stakeholders.
• Own defined project activities from initiation to completion.
• Conduct quality checks on datasets, calculations, and reports.
• Identify data processing bottlenecks and suggest improvements.
• Develop product knowledge to support tailored customer solutions.
• Collaborate with Data Ops, Engineering, and PMs to resolve data issues.
• Prepare customer-facing presentations and internal reports.

Kenntnisse

Excel advanced functions

Data analysis

Dataset management

ROI analysis

Cross-functional collaboration

Stakeholder communication

Ausbildung

Degree in Business, Economics, Finance, Data Science or related field

Tools

Power BI

Zoho Analytics

Excel

Jobbeschreibung

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:

• 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.
• Dataset Management: Analyze, organize, and reconcile large, multi-sheet datasets containing quantitative performance metrics and qualitative store execution information.
• ROI Analysis and Reporting: Translate project delivery metrics into measurable return-on-investment figures by applying business logic and validating calculations.
• 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.
• Task and Deadline Management: Coordinate multiple project components simultaneously, prioritize competing responsibilities, and meet deadlines across different customer engagements.
• Operational Ownership: Independently manage defined project activities from initiation through completion, ensuring reliable execution within your area of responsibility.
• Quality Assurance: Maintain rigorous quality control over datasets, calculations, and reports to ensure accuracy, consistency, and data integrity before sharing results with customers.
• Problem-Solving and Process Improvement: Identify potential roadblocks in data processing workflows, investigate operational issues, and proactively recommend solutions before problems escalates.
• Product Knowledge and Implementation Support: Develop a strong understanding of the product to troubleshoot operational challenges and support tailored solutions for customer-specific requirements.
• Cross-Functional Coordination: Work with Data Operations, Engineering, and Project Managers to resolve data issues, coordinate information flow, and keep projects progressing efficiently.
• 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:

• Strong proficiency in Microsoft Excel, including lookup functions, pivot tables, conditional logic, and the ability to build, troubleshoot, and maintain complex calculation models.
• Ability to work confidently with large datasets containing both numerical metrics and descriptive information, using Excel to manipulate, reconcile, and synthesize data.
• A high level of personal accountability, with a commitment to delivering accurate, reliable work within agreed deadlines.
• A proactive, action-oriented mindset, including the ability to identify process improvements, ask clarifying questions, and move tasks forward independently.
• Strong analytical and problem-solving skills, with the ability to investigate discrepancies and develop practical solutions.
• Excellent written and verbal communication skills, including the ability to explain findings clearly and collaborate with different teams.
• Good organizational and prioritization skills, with the ability to manage multiple tasks and deadlines in a fast-paced environment.
• Adaptability, enthusiasm for technology, and eagerness to learn new tools and processes.
• A degree in Business, Economics, Finance, Data Science, or a related field is preferred.
• A project management certification, or current enrollment in a relevant certification program, is an advantage.
• Previous experience demonstrating initiative and ownership through internships, academic projects, extracurricular activities, or professional responsibilities is beneficial.
• Familiarity with business intelligence tools such as Power BI or Zoho Analytics is helpful.

Benefits

• Fully remote working arrangement.
• Full-time employment with an opportunity to gain hands-on experience in AI-powered retail technology.
• Practical exposure to project management, customer success, data analytics, and business intelligence.
• Opportunities to develop advanced Excel skills and gain experience with reporting and analytical tools.
• Cross-functional collaboration with Data Operations, Engineering, and project delivery teams.
• Opportunities to take ownership of meaningful projects and develop problem-solving and stakeholder management skills.
• Exposure to international customers and customer-facing project delivery.
• Scheduled working hours from 7:00 AM to 4:00 PM.

We appreciate your interest and wish you the best!