General Mills is hiring for a fresher entry level Data Analyst role in India

Position:

• Data Analyst - Workforce Data & Analytics

Company:

• General Mills

Location:

• Powai, Mumbai, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• 32921

Years of experience:

• 0-3 years

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Company Description

• General Mills is a global food company that has been serving customers for more than 150 years across six continents.

• The company owns iconic food brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, which are household names around the world.

• General Mills has cultivated a reputation not just for delivering quality food products but also for its commitment to innovation and sustainability.

• The company was established in 1866 and is known for its pioneering and forward-thinking spirit.

• Their India operations are led through the General Mills India Center (GIC) based in Mumbai, which functions as a global capability center.

• GIC contributes to various strategic and operational areas including supply chain, data and digital, innovation, and shared services.

• Their workforce includes over 1800 professionals delivering business value and service excellence across multiple departments.

• General Mills strongly advocates equity, inclusion, and diversity while focusing on sustainability and ethical operations.

• They’re dedicated to being a force for good for both people and the planet.

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Profile Overview

• This role sits within the Workforce Insights (WIN) Data Science team, part of the Global Shared Services (GSS) function.

• The analyst will be responsible for creating and managing data-driven solutions to optimize HR decision-making processes.

• It involves designing dashboards, automating scorecards, and building scalable systems to reduce manual reporting.

• The job requires regular interaction with HR and business teams to understand their data needs and translate them into actionable insights.

• A key expectation is to perform statistical and machine learning analyses on workforce data.

• The analyst will also maintain data governance standards and ensure accurate, relevant information is disseminated.

• Responsibilities also include visualizing data in meaningful formats like infographics or interactive dashboards.

• The role calls for a proactive mindset, capable of identifying trends and translating them into process improvements for HR functions.

• It is ideal for someone with a blend of technical expertise and a passion for human capital analytics.

• You’ll work in a collaborative and innovative environment with opportunities to drive business impact.

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Qualifications

• Education:

  • A full-time graduation degree from an accredited university is mandatory.

• Preferred Degrees:

  • Master’s degree in Statistics, Mathematics, Data Sciences, or a Bachelor of Engineering (BE).

• Core Technical Skills:

  • Proficiency in GCP (Google Cloud Platform).

  • Hands-on experience with SQL or BigQuery.

  • Solid command over Python and R programming languages.

• Statistical Expertise:

  • Understanding of core statistical concepts and calculations.

  • Ability to apply statistical tests like regressions, ANOVAs, t-tests, and classification models.

• Soft Skills:

  • Strong communication to translate data insights into actionable business strategies.

  • Problem-solving attitude and attention to detail in data validation.

  • Ability to work cross-functionally with various stakeholders.

• Other Desirables:

  • Passion for leveraging data to transform workforce practices.

  • Willingness to stay updated on emerging analytics technologies.

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Additional Info

• Work Hours:

  • The standard shift timing for this role is from 11 AM to 8 PM IST.

• Team Structure:

  • Reports directly to the WIN Data Science Center of Excellence (COE).

• Office Setup:

  • Based in the Mumbai Ventura Office, this role follows a hybrid work arrangement.

• Business Unit:

  • Part of Global Shared Services (GSS), which plays a key role in streamlining operations across HR, Finance, and Supply Chain.

• Scope of Work:

  • This role touches multiple facets of workforce data ranging from employee services to analytics enablement and strategic reporting.

• Technological Landscape:

  • You’ll work with modern cloud-based technologies and automated reporting tools.

• Organizational Impact:

  • Your work will directly support business leaders in strategic workforce planning and decision-making.

• Learning and Growth:

  • Offers ample opportunities to upskill in analytics, automation, and machine learning.

• Work Culture:

  • General Mills promotes a culture of innovation, inclusion, and continuous improvement.

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Responsibilities

Designing Data-Driven Solutions

• Build automated dashboards and scorecards to streamline HR reporting functions.

• Create scalable reporting solutions that minimize manual work and maximize efficiency.

• Assist data scientists with data preparation and visualization tasks for advanced analytics.

Advanced Analytics and Insights

• Apply machine learning models and statistical methods to identify patterns in workforce data.

• Use regression, classification, t-tests, and ANOVA for insightful data interpretation.

• Develop and maintain standardized reporting formats to reduce ad-hoc requests.

Tool Development and Automation

• Utilize Python, R, and SQL to build pipelines, automate dashboards, and clean datasets.

• Focus on developing reusable scripts and templates for recurring analytical needs.

• Support the enhancement of analytical efficiency through tool-based solutions.

Visualization and Communication

• Create engaging dashboards, infographics, and visual stories to convey HR metrics.

• Translate complex data insights into simple narratives for business stakeholders.

• Work around data limitations while preserving the integrity and clarity of information.

Cross-functional Collaboration

• Partner with HR leaders and business teams globally to gather data requirements.

• Assist in crafting strategies for data adoption and usage across functions.

• Share knowledge with internal teams to enable a data-informed culture.

Innovation and Continuous Improvement

• Identify trends in workforce analytics and incorporate best practices into existing processes.

• Suggest new frameworks or metrics to refine HR operations and reporting accuracy.

• Encourage and support the implementation of automation wherever possible.

Data Governance and Compliance

• Uphold standards for data governance and privacy throughout reporting activities.

• Ensure that all data outputs comply with organizational policies and industry norms.

• Safeguard sensitive HR information and promote ethical data use.

Please click here to apply.

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