What Jobs are available for Data Visualizations in Mumbai?

Our client is offering an exciting internship opportunity for aspiring data professionals to join their Business Intelligence team as a Junior Data Analyst in Mumbai, Maharashtra, IN . This role provides invaluable hands-on experience in transforming raw data into actionable insights that drive strategic business decisions. As a Junior Data Analyst intern, you will work closely with senior analysts and business stakeholders to support data collection, cleaning, analysis, and reporting efforts. Your responsibilities will include assisting in the development and maintenance of dashboards and reports using BI tools, performing data validation and quality checks, and contributing to data modeling projects. You will gain exposure to various databases, data warehousing concepts, and statistical analysis techniques. We are looking for individuals who are highly analytical, possess strong quantitative skills, and have a foundational understanding of data manipulation and visualization. Proficiency in SQL and Excel is essential, and familiarity with BI tools like Tableau or Power BI is a significant advantage. This internship is designed to provide a comprehensive learning experience, allowing you to apply theoretical knowledge in a real-world business context. The hybrid work model offers flexibility, blending in-office collaboration with remote work, based out of our Mumbai, Maharashtra, IN offices. This is an ideal opportunity for students or recent graduates seeking to launch their careers in data analytics and business intelligence. If you are eager to learn, possess a curious mind, and are passionate about uncovering patterns within data, this internship is the perfect fit for you.
Key Responsibilities:

• Assist in collecting, cleaning, and transforming data from various sources.
• Support the creation and maintenance of business intelligence dashboards and reports.
• Perform data validation and ensure data accuracy and integrity.
• Contribute to data analysis projects to identify trends and insights.
• Collaborate with senior analysts on data modeling and database querying.
• Prepare ad-hoc reports as requested by business units.
• Learn and apply best practices in data analysis and visualization.
• Participate in team meetings and contribute to project discussions.

Qualifications:

• Currently pursuing or recently completed a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and SQL.
• Familiarity with Business Intelligence tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of statistical concepts and data analysis methodologies.
• Excellent attention to detail.
• Good communication and teamwork skills.

Our client is a fast-paced e-commerce leader and is looking for an ambitious and eager Junior Data Analyst to join their Business Intelligence team. This is an excellent opportunity for recent graduates or individuals looking to kick-start their career in data analytics. You will assist in gathering, cleaning, and analyzing large datasets to identify trends, insights, and opportunities that drive business decisions. Working closely with senior analysts and business stakeholders, you will help develop reports and dashboards that visualize key performance indicators and operational metrics. A strong aptitude for numbers, attention to detail, and a willingness to learn are paramount. You will gain hands-on experience with various data tools and methodologies, contributing to the data-driven culture of the organization.

Key Responsibilities:

• Assist in collecting and cleaning data from various sources.
• Perform basic data analysis to identify trends and patterns.
• Help in the creation and maintenance of reports and dashboards using BI tools.
• Support senior analysts in data-driven decision-making processes.
• Collaborate with cross-functional teams to understand data needs.
• Document data sources, methodologies, and findings.
• Contribute to ad-hoc data analysis requests.
• Learn and apply new analytical techniques and tools.
• Ensure data accuracy and integrity.
• Present findings in a clear and concise manner.

The ideal candidate will have a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Familiarity with SQL for data extraction is a strong plus. Basic knowledge of data visualization tools (e.g., Tableau, Power BI) and spreadsheet software (Excel) is preferred. Strong analytical and problem-solving skills, along with excellent communication abilities, are required. Eagerness to learn and a proactive attitude are essential for success in this role. This internship offers a fantastic stepping stone for a career in data analytics within the dynamic business environment of Mumbai, Maharashtra, IN .

MMGS is seeking a talented individual to join our Marketing team. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Job Title: Specialist - Data Analytics & Insights Administrator

As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organization. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.

We will count on you to:

• Proficient in analytics skills using tools like Power BI reporting, power query, Python SQL .
• Understand our business model to analyze data and provide actionable insights.
• Collaborate with colleagues across various levels to align analyses with business objectives.
• Assemble and process large datasets, identifying and implementing internal process improvements.
• Gather and model data using Python to support strategic decision-making.
• Create visually appealing dashboards using Power BI to effectively communicate insights.

What you need to have:

• Bachelor’s degree in engineering, Analytics, Computer Science, or a related field, or a Master’s degree in Statistics, Computer Applications, IT, Business Analytics, or any discipline.
• Hands-on experience through internships or projects in app development using Power BI, Power Query, Python & SQL.
• Familiarity with data analysis and working with large datasets.
• Proficiency in SQL and Python for data extraction and manipulation.
• Strong data visualization skills with experience in tools like Power BI, Tableau, or Qlik Sense.
• Excellent problem-solving, critical-thinking, and communication skills.
• Strong attention to detail and the ability to work with complex data sets.

What makes you stand out?

• Understanding requirements, excellent communication skills and stakeholder management are crucial skills.
• Excellent communication skills with a proven ability to collaborate effectively within a team.
• A strong business acumen to balance the depth of analytics with the desired business outcomes.
• A proactive approach to extracting valuable insights from large datasets, continuously seeking efficient methods to drive progress and innovation.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com , or follow on LinkedIn and X .

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together.

Mercer , a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com , or follow on LinkedIn and X .

**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.