Manager - Analytics
Manager - Analytics
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Job Description
JOB DESCRIPTION
Manager - Analytics
Godrej Consumer ProductsLimited (GCPL)
Mumbai Maharashtra India
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.
Godrej Consumer Products Limited (GCPL)
Godrej Consumer Products is a leading emerging markets company. As part of theover125-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.
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 includesevaluationand 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 companys 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: Bachelors or Masters 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.
Whats in it for you
Be an equal parent
Maternity support including paid leave ahead of statutory guidelines and flexible work options on return
Paternity support including paid leave
New mothers can bring a caregiver and children under a year old on work travel
Adoption support; gender neutral and based on the primary caregiver with paid leave options
No place for discrimination at Godrej
Gender-neutral anti-harassment policy
Same sex partner benefits at par with married spouses
Gender transition support
We are selfish about your wellness
Comprehensive health insurance plans as well as accident coverage for you and your family with top-up options
Uncapped sick leave
Mental wellness and self-care programmes resources and counselling
Celebrating wins the Godrej Way
Structured recognition platforms for individual team and business-level achievements
Performance-based earning opportunities
inclusiveGodrej
Before you go there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. Its not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.
We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality race colour religion caste gender identity or expression sexual orientation disability age or marital status and ensure equal opportunities for all our team members.
If this sounds like a role for you apply now!
We look forward to meeting you.
Required Experience:
Manager
Employment Type
Full Time
