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Mondelez International

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4.2

based on 1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mid-Sized Company - 2024

Top Rated FMCG Company - 2024

2 Mondelez International Analytics Manager Jobs

Data & Analytics Manager, India Lead

Mondel z International

4.2

based on 1k Reviews

10-15 years

Mumbai

1 vacancy

Data & Analytics Manager, India Lead

Mondelez International

posted 5hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Supply Chain Management SQL Business Analytics Project Management

+ 4 more

Job Description

Are You Ready to Make It Happen at Mondel z International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

Work in close partnership with the business leadership team to execute the analytics agenda
Identify and incubate best-in-class external partners to drive delivery on strategic projects
Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

Using data analysis to make recommendations to senior leaders
Technical experience in roles in best-in-class analytics practices
Experience deploying new analytical approaches in a complex and highly matrixed organization
Savvy in usage of the analytics techniques to create business impacts

Are You Ready to Make It Happen at Mondel z International?
Join our Mission to Lead the Future of Snacking. Make It Possible

As the D&A Analytics lead for India, you will lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.

How You Will Contribute
You will:

Lead the D&A agenda and roadmap for the market by collaborating closely with senior business stakeholders to deliver strong business value across functions in the organization.

Collaborate across Business and MDS functions to build and develop demands by maximizing our resources of D&A across Data Management, Analytics Products and Data Science resources - this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed.

Work with the India Data Hub Lead to deliver long-term data enablement plans, execute / provide custodianship of data & data governance , and enable AI-Ready data for the organization.

Present , share insights with right storytelling at key leadership forums in business language

Building capability within the teams including leading , coaching, guiding and inspir ing the direct and indirect internal & external teams, multifunctional teams in the business unit in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.

Minimizing complexit y , establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential .

Creating value from business-driven data and analytics initiatives at scale . An important task for the India D&A Analytics Lead is to support the business and other stakeholders in their solving their business problems via relevant data & analytics . This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.

Raise the level of data coverage, usage, easy access and literacy in the organization . To become data driven the organization needs employees who can identify , understand and speak data. It will be critical to understand wide variety of diverse and most important data sources and constructs, analytical methods and techniques in order to drive analytics at scale whether it is bespoke analytics scaled solutions or minimum viable products or self service by employees including analysts, data scientists or functional employees at large. Activities include identifying key datasets, building reusable data assets, education and coaching of the employees to become more data-savvy and facilitating data-centric business thinking while accelerating pervasive and bespoke analytics .

Helps uncover and translate business requirements and stakeholder needs. This translation needs to be done in such a way that the technical specialists in the D&A team can understand ( Data Management, Analytics Products , Partners and / or Data Science resources ) . This requires an understanding of both the business objectives , goals, and domain expertise , as well as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication. It will be critical to interact and build trust with BU leadership team to support their data driven vision, strategy and operating models as well as influence & leverage broader D&A teams to deliver the roadmap for India .

The role will lead analytics delivery for India delivered initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices) .

Data & analytics skills

Must have a good understanding of the concepts, methods and techniques used:

Analytics , for example diagnostic, descriptive, predictive and prescriptive.

AI , for example machine learning, natural language processing.

Data management, for example data integration (ETL) or metadata.

Data architecture , for example the difference between data warehouse, data lake or data hub.

Data modelling , for creation of right reusable data assets

Data governance , for example MDM, data quality and data stewardship practices.

Statistical skills , for example understanding the difference between correlation and causation.

Technology skills

Good understanding of the tools and technologies in the D&A team:

Programming languages like SQL, Python or R and notebooks like R Studio or Jupyter .

Data integration tools like Informatica or Talend.

Analytics and Business Intelligence tools like Microsoft Power BI or Tableau.

Soft skills

Leadership with high level of self-initiative and drive , for example leading the discussions on D&A agenda in the BU and building a combined vision across multiple stakeholders.
Communication , for example conveying information to diverse audiences in a way that is easily understood and actionable.
Facilitation and conflict resolution , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
Creative thinking and being comfortable with unknown or unchartered territories , for example framing new concepts for business teams and brainstorming with business users about future product and services.
Teamwork , for example working with both business domain teams as well as D&A teams and MDS stakeholders .
Collaboration , for example fostering group problem solving and solution creation with business and technical team members.
Relationship management , for example creating relationships and builds trust with internal and external stakeholders quickly .
Storytelling , for example by creating a consistent , clear storyline for better understanding.
Influencing , for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors .

Domain skills

Must have a good understanding of the business process and associated data:

Business Acumen , for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language .
Business Process Transformation , for example ability to understand how D&A can help redesign the way work is done.
Business data, for example the structure, ownership and use within an organization.

Other skills

Agility, G rowth mindset will be crucial

Project management capabilities including ability to manage risks , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities.

Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported

Business case development , for example to help develop support for the experimenting selected use cases or measure the impact / business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain .

Decision modelling , for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models.

UX/ d esign , for example by creating products and visualizations that are easy to work with and support the activities required by the end users.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

Job Type

Regular

Analytics & Modelling

Analytics & Data Science

Employment Type: Full Time, Permanent

Read full job description

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