Manager - Analytics

JOB DESCRIPTION 

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Manager - Analytics

Godrej Consumer Products Limited (GCPL) 

Mumbai, Maharashtra, India

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Job Title: Manager - Analytics

Job Type: Permanent, Full-time

Function: Information Technology

Business: Godrej Consumer Products Limited

Location: Mumbai, Maharashtra, India

About Godrej Industries Limited and Associate Companies (GILAC)

GILAC is a holding company of the Godrej Group. We have significant interests in consumer goods, real estate, agriculture, chemicals, and financial services through our subsidiary and associate companies, across 18 countries. 

https://www.godrejindustries.com/

About Godrej Consumer Products Limited (GCPL)

Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations.

https://www.godrejcp.com/ 

About the role

As Data and Analytics manager, you will be responsible for managing the design, development, and implementation of Azure data engineering/visualization and data science solutions in GCPL with a specific focus on Media and Marketing. This role requires a blend of hands-on technical expertise, and strong business understanding. The responsibility also includes evaluation and implementation of emerging technologies in Azure data tech stack, data science, AI/ML and drive standardization and implementation of best practices.

Your Roles & Responsibilities

• End-to-End Project Development: Lead the conceptualization, development, and execution of data science projects across various functions and geographies within GCPL, ensuring alignment with business objectives and strategies.
• Cross-functional Collaboration: Foster effective collaboration with internal stakeholders such as marketing, sales, supply chain, and finance to identify data-driven opportunities, address business challenges, and deliver actionable insights.
• Vendor Management: Engage with external vendors and partners to leverage specialized expertise, tools, and resources for advanced analytics projects, ensuring quality deliverables within established timelines and budgets.
• Performance Monitoring: Establish metrics and KPIs to assess the performance and impact of data science initiatives, tracking progress against goals and recommending adjustments as necessary to optimize outcomes.
• Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in data science, actively seeking opportunities to enhance the company's analytical capabilities and drive innovation.
• Team Management: Mentor junior data scientists, providing guidance on project execution, technical skills development, and career growth.

Position Requirements

Qualification & Experience:

• Educational Background: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines. 
• Professional Experience: Minimum of 5-8 years of experience in data science, preferably within the FMCG industry or related sectors.

Skills Required: 

Must have:

• Technical Proficiency: Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modeling techniques.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization.
• Business Acumen: Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness.
• Adaptability: Proven ability to thrive in a fast-paced and dynamic environment, managing multiple priorities and stakeholders while maintaining a focus on delivering high-quality results.

Good to Have:

• Deep Learning Frameworks: Exposure to deep learning frameworks such as TensorFlow, PyTorch, or Keras, with application in areas like time-series forecasting.
• MLops Understanding: Familiarity with MLops (Machine Learning Operations) principles and practices, including model deployment, monitoring, versioning, and automation, to ensure scalability, reliability, and performance of machine learning models in production environments.
• Cloud for Machine Learning: Experience working with cloud platforms (AWS, GCP, or Azure), especially with ML services like SageMaker, Databricks or Azure ML Studio for scalable and production-grade solutions.
• AI Productization: Experience in translating data science models into business products or dashboards embedded within operational processes.

What’s in it for you?

Be an equal parent

About Company

Godrej Group is a diversified Indian multinational conglomerate headquartered in Mumbai, founded in 1897. It operates across multiple sectors, including consumer goods, real estate, appliances, furniture, chemicals, and agriculture. Known for its strong focus on innovation, sustainability, and quality, Godrej serves millions of customers in over 60 countries. The group’s brands—such as Godrej Properties, Godrej Consumer Products, and Godrej Agrovet—are leaders in their respective industries, and the company is recognized for its commitment to environmental stewardship and social responsibility.