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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


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.


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.


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.


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.


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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