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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 Possible.**
You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.
**How you will contribute**
You will:
+ Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvements
+ Identify and incubate best-in-class external partners to drive delivery on projects
+ Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
+ Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
+ Build a professional and reliable team
+ Run the business analytics program practice 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. You will bring experience and knowledge in:
+ Ability to influence the business agenda and make recommendations to senior leaders
+ Leadership experience in best-in-class analytics practice roles
+ Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
+ Savvy in usage of analytics techniques to create business impacts
+ Proven people leadership experience
**Role & Responsibilities:-**
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.
+ Lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities for India to deliver strong business value across all levels of the organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
+ The D&A function in India has Data Management, Analytics and Data Science resources that lead on ground activation of the BU's agenda, whilst partnering across regional (AMEA) domain leads and global central teams to deliver against business priorities - this requires strong collaboration and influencing skills to drive adoption, relevancy and business impact with speed.
+ Present, share insights with right storytelling at key leadership forums in business language
+ Building capability within the teams including leading, coaching, guiding and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.
+ Minimizing complexity, 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.
+ Systematic, active dissemination of AMEA D&A Solutions into India where applicable and feasible.
+ Elevate India innovations to the region, helping domain leads refine innovations as regional / global capabilities that can travel.
**Creating value from business-driven data and analytics initiatives at scale.** An important task for the India D&A leader 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 India 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).
**Coach, nurture and build a agile and highly inspired team** with strong growth mindset. This requires a strong leader with empathy who can listen, guide and inspire the team while growing their capability, defining right priorities and removing barriers to execution as and when necessary.
**Managing and overseeing funds, securing the necessary funding to drive analytics agenda as well as tracking spends judiciously and negotiating with partners** to ensure money is spent on right priorities as well as manage typical project risks with right interventions proactively.
**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.
**S** **oft** **skills**
+ **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** , 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, Growth 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/design** , 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**
**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
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader 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 - both global and local. 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 number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They 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.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.

Our client is looking for enthusiastic and bright Graduate Trainees to join their Data Analytics team. This is an excellent opportunity for recent graduates to gain hands-on experience in a dynamic, hybrid work environment. You will work alongside experienced data scientists and analysts, contributing to real-world projects, developing analytical skills, and learning cutting-edge tools and techniques. The program is designed to foster professional growth and provide a strong foundation for a career in data analytics.

Responsibilities:

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Support data analysis activities, identifying trends, patterns, and insights.
• Help in creating data visualizations and reports to communicate findings effectively.
• Learn and apply statistical methods and data mining techniques.
• Work with data analysis tools and software under the guidance of senior team members.
• Participate in team meetings and contribute to project discussions.
• Assist in developing dashboards and performance metrics.
• Conduct research on data-related topics and emerging trends.
• Collaborate with other departments to understand their data needs.
• Help in testing and validating data models and analytical outputs.
• Contribute to documentation of data processes and methodologies.
• Develop proficiency in SQL, Python, or R for data manipulation and analysis.
• Adhere to data privacy and security policies.
• Seek opportunities for continuous learning and skill development.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts and principles.
• Eagerness to learn new technologies and analytical techniques.
• Good communication and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• Basic knowledge of programming languages like Python or R is a plus.
• Experience with SQL for data querying is beneficial.
• Attention to detail and a methodical approach to tasks.
• Proactive attitude and a strong desire to contribute.
• Must be able to work in a hybrid model, attending the office as required.

This internship offers a fantastic stepping stone into the world of data analytics. Join our client and grow your career in the heart of Mumbai. This role is based in Mumbai, Maharashtra, IN , and is a hybrid position.

Embark on an exciting career journey with our client as a remote Apprentice in Data Analytics! This comprehensive training program is designed for individuals passionate about uncovering insights from data and eager to develop highly sought-after skills in a supportive, virtual environment. You will be immersed in real-world projects, gaining hands-on experience with data collection, cleaning, transformation, and visualization. Under the guidance of experienced data professionals, you'll learn to utilize industry-standard tools and techniques, including SQL, Python, and various data visualization platforms. Key responsibilities will include assisting in the development of reports and dashboards, performing statistical analysis, and identifying trends and patterns within large datasets. You'll also contribute to A/B testing initiatives and help in the interpretation of results to drive business decisions. This apprenticeship is a fantastic opportunity to build a strong foundation in data science and analytics, with a clear pathway for growth within the organization. We are looking for candidates who are detail-oriented, possess strong problem-solving abilities, and have a keen interest in technology and data. Excellent communication skills are essential for effective collaboration within a remote team setting. The program emphasizes learning and development, offering exposure to various analytical methodologies and business domains. This is a fully remote role, allowing you to work comfortably from your chosen location while gaining invaluable professional experience. Join us and transform your analytical aptitude into a rewarding career.

Our client is looking for bright and ambitious recent graduates to join their esteemed organization as Graduate Trainees in Data Analytics. This program is designed to provide comprehensive training and real-world experience in the field of data analysis, offering a fantastic launchpad for your career. This is a fully remote opportunity, allowing you to learn and contribute from the comfort of your home.

Program Highlights:

• Duration: 6-12 months, with potential for full-time employment based on performance.
• Intensive training in data analysis tools and techniques.
• Exposure to various data sources and business problems.
• Mentorship from experienced data analysts and data scientists.
• Opportunity to work on meaningful projects that provide valuable business insights.
• Development of essential analytical, technical, and soft skills.
• Networking opportunities within the organization.

Responsibilities:

• Assist in collecting, cleaning, and processing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Create compelling data visualizations and dashboards to communicate findings.
• Support senior analysts in building analytical models and reports.
• Help in designing and executing A/B tests to measure the impact of initiatives.
• Contribute to the documentation of data analysis processes and methodologies.
• Learn and apply statistical concepts and techniques to data problems.
• Collaborate with cross-functional teams to understand their data needs.
• Develop an understanding of the business context and how data analysis drives decisions.
• Participate actively in team meetings, training sessions, and knowledge-sharing activities.
• Ensure data accuracy and integrity in all analyses performed.
• Identify opportunities for process improvements in data handling and analysis.
• Shadow experienced professionals to gain practical insights into data analytics roles.
• Adhere to company policies and best practices in data management and security.

Requirements:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of data analysis concepts and statistical principles.
• Familiarity with programming languages like Python or R for data analysis is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent written and verbal communication skills.
• Ability to learn quickly and adapt to new technologies and tools.
• Strong attention to detail and commitment to producing high-quality work.
• Must be eligible to undertake an internship/traineeship.
• Ability to work independently and manage time effectively in a fully remote setting.
• Enthusiasm for a career in data analytics.

This is a fully remote internship/traineeship program, open to graduates across India. We offer a competitive stipend and an invaluable learning experience.

Our client is excited to welcome ambitious and intellectually curious Graduate Trainees to their Data Analytics program, based at our office in **Mumbai, Maharashtra, IN**. This is an exceptional opportunity for recent graduates to kickstart their careers in a fast-paced, data-driven environment. As a Graduate Trainee, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting large datasets to uncover actionable insights. You will work alongside experienced data scientists and analysts, contributing to real-world business challenges and learning cutting-edge analytical techniques.

Key learning and contribution areas include:

• Assisting in the extraction and transformation of data from various sources.
• Performing data quality checks and implementing data cleansing procedures.
• Developing and running analytical models using statistical software and programming languages.
• Creating visualizations and dashboards to communicate findings to stakeholders.
• Supporting senior team members in ad-hoc data analysis requests.
• Learning about different data mining techniques and machine learning algorithms.
• Participating in team meetings and contributing to project discussions.
• Understanding business requirements and translating them into data analysis tasks.
• Documenting analytical processes and methodologies.
• Exploring opportunities for process improvements within the data analytics workflow.

We are looking for individuals who are passionate about data, possess strong problem-solving skills, and have a keen eye for detail. A degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field is required. Familiarity with SQL, Python or R, and data visualization tools is a plus. Excellent communication and teamwork abilities are essential. This is a full-time, in-office internship designed to provide a comprehensive learning experience in the field of data analytics.

Customer Engineering Manager, Data Analytics
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India; +2 more; +1 more
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with leadership, such as people management, team lead, mentorship, or coaching.
+ Ability to travel up to 25% of the time as needed.
**Preferred qualifications:**
+ Experience with data ecosystem, including Open source, architecting and developing distributed systems, along with experience in data processing, business analytics and visualization, Data Science and AI.
+ Experience as a Pre-Business Manager or a people manager in a technical customer-facing role within a professional services or Business Engineering team.
+ Experience managing a team through business processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
+ Experience presenting to both technical stakeholders and executives, leading conversations that drive business opportunities.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Customer Engineering (CE) Manager, you lead and deploy a team of subject-matter-experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Lead a team of Customer Engineers and build a growth culture. Focus on talent strategy and skills development to deliver on successful outcomes for our customers and accelerate business goals.
+ Build partnerships with customers. Provide leadership related to convergence of Data, Analytics and AI, as well as industry trends.
+ Partner with Google Cloud Business leadership to define technical go-to-market strategies and execution plan for the team's business.
+ Balance technical leadership with operational excellence, lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners and prospects.
+ Work cross-functionally across Google, our partners, and the team to resolve technical roadblocks including capacity needs, constraints and product tests affecting customer satisfaction.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**What is the purpose of this role?**
You will play the role of leading and driving transformation and excellence in Colgate Palmolive to be the best in class FMCG organization in the field of data analytics.
**Why is this exciting?**
FMCG industry has been going through an era of retail transformation where REs, customers, competitors, consumers and business models are evolving rapidly. These changes are fuelled by increased digitization, rise of omni-channel, changing consumer preferences and increased use of data to drive growth. As the Head of Data and Analytics, you will have the opportunity to shape the organization's data-driven culture, foster a data-driven mindset, and identify new opportunities for leveraging technology and data to gain a competitive advantage in the market. In this role, you will be responsible for leveraging data-driven insights and advanced analytics to make informed business decisions, optimize operations, and drive strategic growth.
**What would be the responsibilities for this role?**
**Thought partnership**
+ Establish and execute a comprehensive data analytics and business intelligence strategy, ensuring that Colgate Palmolive remains at the forefront of data-driven decision-making in the FMCG industry.
+ Design an agile roadmap of initiatives in conjunction with functions to achieve organizational goals towards digitalization of processes and data led decision making. Drive the change story within the larger organization
**Product Delivery**
+ Through effective leadership and collaboration with cross-functional teams, drive the development and implementation of innovative data analytics solutions, predictive models, and reporting frameworks to support business objectives and enhance performance across various teams and functions
+ Deliver high quality business value focused products like MMM (Market Mix Modelling - ATL and BTL), RGM (Revenue Growth Management), and Sales Suggested Order, Trade Spends optimisation etc. Setting up and management of data lake.
+ Manage relationships with internal IT teams (GIT, GSSO) to ensure implementation and commercialization of tools and ideas
+ Ensure all initiatives have clearly defined operational and financial metrics to measure success
**Expand Knowledge and Innovation**
+ Demonstrate benefits of using Analytics to drive measurable value for customers and employees and how this operating model can be translated to other parts of the business
+ Keep track of the key developments in the data, tech and analytics space to continually identify new ideas, tools, trends that could provide opportunities for the organization
+ Continually expanding knowledge and learning throughout the organization and leading CP India towards becoming a stronger digital and analytics powered organization
**People**
+ Lead a team of Data Analysts and Data Scientists to help deliver on the mandate
+ Cascade overall functional goals for team, set up objective goals and conduct periodic performance reviews
+ Communicate regularly with team members to provide organizational/functional updates, resolve conflicts and drive engagement and motivation
+ Guide team members and help them develop their skills and abilities, and help them grow professionally by providing opportunities for growth and fulfilling career path
+ Attract & retain top talent
**What does the ideal candidate profile look like?**
+ Ability to act as a bridge between business functions and the analytics team, effectively communicating and aligning business objectives with data driven decision making capabilities
+ An expert storyteller with 8+ years of mixed experience in Data and Analytics (sales, marketing or business).
+ Strong technical skills with robust understanding of GCP, neural networks, forecasting, segmentation, regression etc
+ Experience in a MNC having managed the complexity of a corporate role. Preference for FMCG experience
+ Deep experience in leading critical projects and building high performing teams in an agile environment
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-Hybrid

Our client is offering an exciting opportunity for motivated recent graduates to join their team as a Remote Graduate Trainee in Data Analytics. This is a fully remote internship, allowing you to gain valuable industry experience from anywhere in India. You will work closely with experienced data scientists and analysts, contributing to real-world projects focused on extracting insights from complex datasets. This program is designed to provide comprehensive training in data analysis tools and techniques, fostering your growth into a proficient data professional. You will gain hands-on experience in data cleaning, manipulation, visualization, and reporting, learning to translate data into actionable business intelligence.

Responsibilities:

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop data visualizations and reports to communicate findings effectively to the team.
• Support senior analysts in building and validating statistical models.
• Learn and apply various data analysis tools and techniques, including SQL, Python/R, and data visualization software.
• Collaborate with team members on data-related projects and tasks.
• Document methodologies and findings clearly and concisely.
• Participate in training sessions and learning modules to enhance analytical skills.
• Assist in preparing presentations of data insights for stakeholders.
• Contribute to maintaining data quality and integrity.
• Gain exposure to different data analysis frameworks and best practices.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts.
• Enthusiasm for learning data analysis tools and techniques.
• Basic knowledge of SQL for data querying is a plus.
• Exposure to programming languages like Python or R is an advantage.
• Good communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote environment.
• A proactive attitude and a desire to contribute to team goals.
• Strong attention to detail.

This is an exceptional entry-level opportunity for aspiring data professionals looking to kick-start their careers in data analytics with a globally recognized organization, all within a fully remote setting, starting from **Mumbai**, Maharashtra, IN.

Our client is seeking bright and ambitious recent graduates to join their organization as Junior Graduate Trainees specializing in Data Analytics. This is an exceptional opportunity for individuals eager to launch their careers in a data-driven environment, with a hybrid work model that balances in-office learning with remote flexibility. As a Graduate Trainee, you will be immersed in real-world data projects, gaining hands-on experience in data collection, cleaning, analysis, and visualization. You will work under the guidance of experienced data scientists and analysts, contributing to the development of insights that drive business decisions. Your responsibilities will include assisting in the preparation of datasets, performing exploratory data analysis, generating reports and dashboards, and supporting the interpretation of findings. You will also have the opportunity to learn and apply various analytical techniques and tools. The ideal candidate possesses a strong quantitative aptitude, a keen analytical mindset, and a passion for uncovering patterns and trends within data. A bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. Familiarity with programming languages like Python or R, and basic knowledge of SQL, are advantageous. Excellent communication skills and the ability to collaborate effectively within a team are essential. This program is designed to provide a comprehensive introduction to the field of data analytics, offering valuable training and mentorship to help you grow into a proficient data professional. If you are a motivated graduate eager to learn and contribute in a dynamic, hybrid work setting, we encourage you to apply.