Assistant Manager- Analytics

THIS JOB ROLE IS ONLY FOR PEOPLE WITH DISABILITIES.

Job Title

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Function:

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About the role

As an Assistant Manager – Analytics, you will be responsible for delivering actionable, data-driven insights across multiple functions and geographies. You will manage and execute analytical projects, collaborate with internal stakeholders, and contribute to enhancing the organization’s data capabilities to support strategic and operational decision-making.

Key Responsibilities

1. End-to-end project development:

- Manage the conceptualization, development, and execution of data science projects across various functions and geographies, ensuring alignment with business objectives and strategies

2. 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

3. 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

4. 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

5. 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

Education:

Experience:

Skills:

Must have:

Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modelling techniques

Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations

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

Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness

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

Team player with the capability to collaborate across departments, geographies, and cultures with a proactive attitude towards process improvement and the ability to drive change.

Good to have:

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

Experience using cloud platforms such as Microsoft Azure for machine learning, including familiarity with cloud-based ML services (e.g., Azure Machine Learning, AWS SageMaker, Google AI Platform) and proficiency in deploying and managing machine learning workflows in a cloud environment.