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Mondelēz International

Analytics Manager, Sales

Posted 10 Days Ago
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
The Analytics Manager will collaborate with business leaders to drive analytics initiatives, develop custom data models, and translate complex business problems into data science solutions. The role involves working with cross-functional teams to deliver impactful insights and recommendations using advanced analytics and machine learning techniques.
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Job Description
Are You Ready to Make It Happen at Mondelēz 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


We are seeking a highly skilled and motivated data scientist to join our India Data & Analytics team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for shaping up and deploying data science and advanced analytics solutions that drives business values for stakeholders.
The role calls for a data scientist with a consulting background, with relevant experience in engaging with business teams to formulate and deliver on business problems. It will involve mapping business problems to a formal data science and/or advanced analytics solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the product with the support from DevOps and MLOps team and facilitating business workshops. Expectations of the successful candidate will be that of a data scientist with experience in consulting business teams. Beyond the technical skillset, independent communication and problem-solving in complex set-up will be key to the success for this role.
Responsibilities:

  • Collaborate with cross-functional teams including business stakeholders, data and platform engineers, and product managers to understand key business problems and translate them into data science and/or advanced analytics opportunities.
  • Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform.
  • Deliver Test & Learn (T&L) of new capabilities based in business needs with clear path to production. Collaborate with product teams to bring to industrialization upon T&L completion.
  • Support any Big Data and Data Science related insights and business recommendations either through development of new capabilities or adhoc data & insight exploration.
  • Stay up to date with the latest AI / ML trends, technologies and industry-wide applications & use-cases.


Job Specific Requirements:

  • Brings 5+ years of deep data science experience and 2+ years in consulting.
  • Relevant experience in Sales and/or Revenue Growth Management data science and advanced analytics capabilities.
  • Experience in delivery end to end data science life cycle activities.
  • Strong knowledge of hypothesis building, exploratory data analysis and insights delivery.
  • Strong knowledge of machine learning and statistical modeling techniques in a in a clouds- based environment such as GCP, Azure, Amazon.
  • Experience with programming languages such as Python, R, Spark.
  • Experience with data visualization tools such as Tableau, Power BI, and D3.js
  • Strong understanding of data structures, algorithms, and software design principles.
  • Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage.
  • Working knowledge with application architecture, data security and compliance team.
  • Experience with project management activities and following through on project charters.
  • Experience in business consultancy / partnering to support delivery of projects.
  • Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills, and able to communicate with business stakeholders independently.


Others skills to be successful in the role:

  • Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region 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 & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders.
  • Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors.


Education / Certifications:

  • Bachelor's or Master's in Computer Science, Engineering, Computational Statistics, Mathematics.


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
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science

Top Skills

Python
R
Spark

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