Position Title

Analyst - Workforce Data & Analytics

Function/Group

Global Shared Services (GSS)

Location

India GBS - Mumbai Ventura Office

Shift Timing

11 – 8 PM

Role Reports to

WIN Data Science COE

Remote/Hybrid/in-Office

Hybrid

About General Mills

We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.

How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate

us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com

General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.

With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in

We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

Job Overview

Function Overview

Global Shared Services (GSS) enables General Mills to compete and win every day with a relentless focus on service excellence. Our Shared Services model leverages domain excellence to drive scaled cost-efficient delivery. We do that by delivering our services with a balance between cost and capability; increasing productivity through optimized processes and tools; and upholding company standards, policies, and practices. GSS touches virtually every aspect of the General Mills enterprise, including EmployeeServices, Business Services, Global Workforce Solutions, and Global Data Governance Services.

For more details about General Mills please visit this Link

Purpose of the role

WIN Data Science is part of the broader Workforce Insights team. This role is responsible for execution and development of analytics, data visualizations and automation which support and aid in decision making for HR and business leaders globally

Key Accountabilities

• Develop automated scorecards, reports, and scalable data solutions to support business activators, reducing manual efforts. Assist data scientists with data wrangling, preparation, and visualization to enable advanced analytics.
• Conduct statistical/machine learning analyses such as regressions, classification, t-tests, and ANOVAs to extract insights from workforce data.
• Build and maintain dashboards, scorecards, and infographics to standardize workforce reporting and reduce ad hoc data requests.
• Apply programming skills (e.g., Python, R, SQL) to optimize data pipelines, automate reporting, and enhance analytical efficiency.
• Leverage internal and external data sources to develop actionable workforce insights aligned with business objectives.
• Identify industry trends and implement data-driven solutions to improve HR functions and decision-making.
• Ensure compliance with data governance standards while supporting HR workforce data reporting processes.
• Design and implement tools to facilitate workforce reporting and analytics adoption across the organization.
• Collaborate with HR and business teams to define requirements for advanced analytics and information delivery.
• Work around data limitations while maintaining accuracy and relevance in insights.
• Promote innovation in data analytics, encouraging the use of advanced metrics and automation
  
  

Minimum Qualifications

Education – Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered)

Preferred Qualifications

Preferred Degree Requirements: Masters

Preferred Major Area of Study: Statistics / BE / Mathematics /Data Sciences

Specific Job Experience Or Skills Needed-

• GCP
• SQL/Big query
• Python
• R
• Statistical concepts and calculations
  
  

Company Overview

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.