677 Data Driven Insights jobs in India

Our client, a prominent entity in the sports industry, is looking for a highly analytical and data-driven Senior Sports Performance Analyst to join their team in Pune, Maharashtra, IN . This role is critical in leveraging data to enhance athletic performance, inform strategic decision-making, and drive success across various sporting disciplines. The ideal candidate will possess a strong background in sports science, statistics, and data visualization, coupled with a deep understanding of athletic training, biomechanics, and tactical analysis.

You will be responsible for collecting, analyzing, and interpreting vast amounts of data from athlete monitoring systems, video analysis, and performance metrics. Your insights will directly influence training programs, game strategies, and player development initiatives. This position requires a meticulous approach, strong communication skills to translate complex data into actionable recommendations, and a genuine passion for sports.

Key Responsibilities:

• Collect and manage performance data from various sources, including wearable devices, GPS trackers, video analysis software, and training logs.
• Develop and implement sophisticated analytical models to assess athlete performance, fatigue levels, and injury risk.
• Create compelling data visualizations and dashboards to present key performance indicators (KPIs) and trends to coaches, athletes, and management.
• Provide real-time performance feedback during training sessions and competitions.
• Collaborate with coaching staff to design evidence-based training programs tailored to individual athletes and team objectives.
• Analyze game footage to identify tactical patterns, evaluate player execution, and scout opponents.
• Conduct research into new performance enhancement methodologies and technologies.
• Educate athletes and coaching staff on the effective use of performance data.
• Contribute to the development and refinement of the team's performance analysis systems and processes.
• Maintain a comprehensive database of athlete performance statistics and historical data.
• Ensure data integrity and confidentiality.

Required Qualifications:

• Bachelor's or Master's degree in Sports Science, Exercise Physiology, Biomechanics, Statistics, or a related quantitative field.
• Minimum of 5-8 years of experience in sports performance analysis, preferably in a professional or elite amateur setting.
• Proficiency in sports-specific data analysis software (e.g., Catapult, Hudl Sportscode, Dartfish) and statistical packages (e.g., R, Python, SPSS).
• Strong understanding of physiological responses to training and competition.
• Excellent data visualization skills, with the ability to create clear and insightful reports.
• Experience in designing and interpreting training load metrics and injury prevention strategies.
• Exceptional analytical, problem-solving, and critical thinking abilities.
• Strong communication and interpersonal skills, with the ability to explain complex findings to diverse audiences.
• Passion for sports and a desire to contribute to athletic excellence.
• Familiarity with biomechanical analysis is a plus.

This is a unique opportunity to be at the forefront of sports science and directly impact the success of elite athletes. Join our innovative environment and help redefine athletic potential.

Our client is seeking an innovative and data-driven Senior Sports Performance Analyst to join their remote team. This role is crucial in leveraging advanced analytics to enhance athletic performance, optimize training strategies, and provide actionable insights to coaches and athletes. You will be responsible for collecting, analyzing, and interpreting vast amounts of performance data from various sources, including wearable technology, video analysis, and statistical databases. Your expertise will help identify key performance indicators, track progress, and inform strategic decision-making to achieve competitive advantages.

Responsibilities:

• Collect, manage, and analyze sports performance data from multiple sources (e.g., GPS tracking, video, sensor data, game statistics).
• Develop and implement advanced analytical models to identify trends, patterns, and insights related to athlete performance.
• Create comprehensive performance reports and visualizations for coaches, athletes, and management.
• Collaborate closely with coaching staff to translate data insights into practical training adjustments and tactical strategies.
• Monitor athlete load, recovery, and injury risk, providing recommendations for athlete well-being.
• Stay current with the latest technologies and methodologies in sports analytics and performance science.
• Develop and maintain databases and systems for efficient data storage and retrieval.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Contribute to the development of personalized performance plans for athletes.
• Evaluate the effectiveness of training programs and interventions through data analysis.

Qualifications:

• Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related field.
• Minimum of 5 years of experience in sports performance analysis or a similar analytical role within the sports industry.
• Proficiency in data analysis software (e.g., R, Python, SPSS, SQL) and visualization tools (e.g., Tableau, Power BI).
• Experience with sports-specific analytics platforms and technologies (e.g., Catapult, Hudl).
• Strong understanding of biomechanics, exercise physiology, and sports training principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently and manage multiple projects in a remote setting.
• A passion for sports and a deep understanding of athletic performance.
• Experience in developing predictive models for performance outcomes is a plus.

This fully remote role offers an exciting opportunity to influence athletic success for teams connected to Vadodara, Gujarat, 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 .

Our client is seeking a highly experienced and visionary Lead Data Scientist to spearhead the development and deployment of advanced AI models for consumer insights. This fully remote position requires a deep expertise in machine learning, statistical modeling, and data visualization, with a strong focus on translating complex data into actionable business strategies within the FMCG sector. You will be responsible for designing, building, and maintaining scalable machine learning pipelines, identifying key trends and patterns in large datasets, and developing predictive models that forecast consumer behavior, market trends, and product performance. Collaboration is key in this role; you will work closely with product managers, marketing teams, and business analysts to understand their needs and deliver data-driven solutions. Your work will directly influence product innovation, marketing campaigns, and overall business strategy. A crucial aspect of this role involves staying abreast of the latest advancements in AI and machine learning, and critically evaluating their potential application to our business challenges. You will mentor junior data scientists, foster a culture of data-driven decision-making, and communicate complex findings to both technical and non-technical audiences. The ideal candidate will have a proven track record of successfully delivering data science projects from conception to production, with a demonstrable impact on business outcomes. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is highly preferred. Expertise in Python or R, along with experience in SQL, cloud platforms (AWS, Azure, GCP), and big data technologies (Spark, Hadoop) is essential. Experience with deep learning frameworks such as TensorFlow or PyTorch, and a strong understanding of various machine learning algorithms (e.g., regression, classification, clustering, NLP, recommendation systems) are required. Excellent problem-solving, analytical, and communication skills are paramount for this remote-first position, allowing you to thrive and contribute effectively from anywhere.

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
The Manager, Data Analytics will use advanced analytics to deliver actionable insights that enhance engineering productivity and technology outcomes. This role partners with product owners, leadership team, engineers, scrum masters, and architects to define analytical requirements, design scalable solutions, and track key developer productivity metrics. The ideal candidate combines deep technical expertise with the ability to translate engineering and system data into clear, actionable recommendations.
**Key Responsibilities**
The Manager, Data Analytics will use advanced analytics to deliver actionable insights that enhance engineering productivity and technology outcomes. This role partners with product owners, leadership team, engineers, scrum masters, and architects to define analytical requirements, design scalable solutions, and track key developer productivity metrics. The ideal candidate combines deep technical expertise with the ability to translate engineering and system data into clear, actionable recommendations.
**Key Responsibilities**
+ **Developer Productivity Metrics** : Measure and analyze key productivity metrics such as throughput, cycle time, lead time, defect rates, code quality, release frequency, and deployment success rates.
+ **Data Analysis & Insights** : Collect and analyze datasets from engineering tools (e.g., Jira, GitHub, ServiceNow, SonarQube, Jenkins) to identify trends, bottlenecks, and opportunities for improvement.
+ **Reporting & Visualization** : Build dashboards and KPIs that track engineering efficiency, quality, and velocity, ensuring stakeholders have real-time visibility into performance.
+ **Advanced Analytics** : Apply forecasting, anomaly detection, and predictive modeling to anticipate productivity issues and recommend preventative actions.
+ **Technology Collaboration** : Partner with product owners, engineers, scrum masters, and architects to align analytics insights with product roadmaps and engineering priorities.
+ **Data Governance & Quality** : Ensure reliability and consistency of productivity data across tools and systems.
+ **Continuous Improvement** : Identify opportunities to streamline workflows, automate reporting, and optimize engineering processes.
+ **Communication** : Present findings to technology leaders in a clear, actionable way that supports decision-making and continuous improvement.
**Qualifications**
+ Bachelor's or Master's in Data Science, Computer Science, Engineering, or related field.
+ 10 years of experience in analytics or business intelligence, preferably in technology or engineering-focused environments.
+ Proficiency in SQL and programming languages such as Python or R.
+ Expertise with data visualization tools (Tableau, Power BI, Looker).
+ Hands-on experience with SDLC and engineering tools (Jira, Rally, GitHub, Jenkins, SonarQube, ServiceNow).
+ Strong understanding of productivity metrics and engineering analytics practices.
+ Ability to synthesize complex data into practical insights for technology stakeholders.
+ Strong communication and problem-solving skills.
**Preferred Skills**
+ Familiarity with frameworks for measuring developer productivity (e.g., SPACE, DORA metrics).
+ Experience building predictive models for engineering performance.
+ Exposure to Agile environments and DevOps practices.
+ Background in software engineering or technology analytics.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Technology
**Primary Location:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Join Team Amex and let's lead the way together.
With a focus on digitization, innovation, and analytics, the Enterprise Digital teams creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of Enterprise Digital Teams is the integration of diverse skills across all its remit. Enterprise Digital Teams has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.
The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value.
**About this Role:**
This role will report to the Manager of Membership experience analytics team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our Digital Membership Experiences across Web & App channels.
+ Deliver strategic analytics focused on Digital Membership experiences across Web & App aimed at optimizing our Customer experiences
+ Define and build key KPIs to monitor the acquisition journey performance and success
+ Support the development of new products and capabilities
+ Deliver read out of experiments uncovering insights and learnings that can be utilized to further optimize the customer journey
+ Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable
+ Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data
**Minimum Qualifications**
+ Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
+ Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
+ Experience in large data processing and handling, understanding in data science is a plus.
+ Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
+ Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.
**Preferred Qualifications**
+ Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
+ Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
With a focus on digitization, innovation, and analytics, the Enterprise Digital (ED) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of ED is the integration of diverse skills across all its remit. ED has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.
The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value.
**Purpose of the Role:**
This role will report to the Manager of Marketing Optimization Capabilities Analytics (MOCA) team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize the performance of Media marketing channels through the application of insights from MOCA models
* Collaborate with Data science and marketing partner teams to help build out the MOCA models
* Deliver read out of models uncovering insights and learnings that can be utilized to further optimize the Media campaign performance
* Gain deep functional understanding of the channel performance over time and ensure analytical insights are relevant and actionable
* Power in-depth strategic analysis and provide analytical and decision support by mining campaign performance data and modelling outputs   
* Define and build key KPIs to monitor the channel health and success   
**Minimum Qualifications:**
1. Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
2. Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
3. Experience in large data processing and handling, understanding in data science is a plus.
4. Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
5. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.
**Preferred Qualifications:**
1. Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
2. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test.
**Enterprise Leadership Behaviors:**
* Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
* Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
* Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Global Merchant & Network Services (GMNS), the merchant and bank partner network of American Express, acquires and maintains relationships with merchants and banks, who welcome American Express branded cards. We are dedicated to bringing buyers and sellers together and transforming how American Express is welcomed. GMNS Analytics & Products aims to provide best in class analytics to support key GMNS priorities, support strategic initiatives, optimize investments, accelerate merchant and network activation enhancing the value Amex acceptance brings to merchants and Card Members at scale.
**How will you make an impact in this role?**
The role is responsible for developing analytical solutions to enhance Merchant Marketing in GMNS:
+ Develop strategies and analytical solutions to optimize merchant marketing, supporting investment optimization through analytics-driven targeting.
+ Analyze data to derive actionable insights and continuously enhance solutions by leveraging advanced analytics to create innovative and effective merchant marketing strategies.
**Purpose of the Role**
+ Closely partner with partners to build marketing strategies across countries and deliver diverse analytical projects.
+ Ensure accurate and relevant representation of data to generate actionable insights that enable quick and informed decision-making.
+ This role requires a solid background in strategy analytics, technology, and exceptional problem-solving skills.
+ Prior experience in Data Analytics and strategy is a plus.
**Job Responsibilities:**
+ Work in a dynamic, fast changing environment, with attention to detail, great communication skills and success driving results through multi-functional collaboration
+ Analyzing data to create insights to tackle business problems
+ Evaluate impact on business of different strategies/initiatives and generate insights and recommendations for further improvement
+ Innovating and evolving processes to drive business results
+ Expand usage of data-backed decisions/products/data science in strategies and identifying opportunities with potential to scale
+ Partner with multiple stakeholders across business units and geographies to drive implementation of new insights and recommendations
**Critical Factors to Success:**
+ Solid ability to get results, self-starter.
+ Good interpersonal, written, and verbal communication skills
+ Ability to influence external partners, colleagues and senior leaders with clear thinking, robust analysis, and strong business intuition.
**Business Outcome**
+ Create solutions focusing on strategic priorities and driving business
+ Evaluate new advanced analytics techniques to build on existing solutions
**Leadership Outcomes:**
+ Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
+ Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
+ Demonstrate learning agility, make decisions quickly and with the highest level of integrity
**Minimum Qualifications:**
+ 0-2 years of relevant experience in analytical domain
+ Ability to derive insights from data, manage multiple projects and drive results in a fast-paced environment
+ Strong collaborator with an ability to build relationships and challenge the status quo
+ Excellent business writing and presentation skills with the ability to communicate effectively with all levels of management and influence strategy
+ Intellectual curiosity and ability to learn quickly
+ Demonstrate attention to detail and ability to drive results
+ Technical Skills: Familiarity with SAS/ SQL, R, Python, Hive, PySpark and Tableau.
+ Bachelors in Statistics/Mathematics/Economics/ Engineering with relevant experience
**Preferred Qualifications:**
+ Post Graduation in Statistics/Mathematics/ Economics/Engineering/Management
+ Experience in the merchant business is preferred
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurgaon
**Schedule** Full-time
**Req ID:**

**Job title: Data Analytics - Analyst**
**Location: Hyderabad**
**About the job**
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. Data Analytics Services (DAS) is a key pillar of the Automation CoE within Sanofi Business Operations. Besides data analytics, the wider team's scope is comprised of Master Data Management, Process Mining & Process Intelligence and Robotic Process Automation (RPA). DAS is primarily responsible for building and maintaining Power BI dashboards in the finance domain.
**Main responsibilities:**
+ Collaborate with peer team and stakeholders to gather requirements and understand data visualization needs. Able to work independently and collaboratively within cross-functional teams.
+ Design, develop, and maintain interactive dashboards, reports, and visualizations in Power BI Desktop and Services. Connect and Integrate data from various sources (SQL databases, Excel, SharePoint, Cloud services) to Power BI efficiently using Power Query and DAX.
+ Develop and maintain complex data models, including establishing relationships, hierarchies, and calculated columns ensuring fast loading times and responsiveness, even with large datasets, write advanced DAX calculations and Power Query (M) transformations to deliver complex business logic and KPIs.
+ Implement row-level security, data refresh schedules, and performance tuning within Power BI reports. Manage data integration tasks, including data source connections and data transformation processes. Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. Identify and address bottlenecks and resource constraints.
+ Create and manage dataflows, datasets, and apps in the Power BI Service. Publish and share reports, dashboards, app with security standpoint to various business user groups in Power BI Services. Maintain documentation for reports, data sources, and data transformation processes.
**About you:**
+ **Experience:** 3 to 5 years of hands-on experience and proficient in developing and maintaining dashboard in Power BI and Qlik Sense
+ **Soft skills:** Ability to work effectively with cross-functional partners and drive process improvement initiatives across an organization. Inter-cultural skills and eagerness to work in a very international setting. High level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization. Openness to new tools.
+ **Technical skills:** Advance level in Power Query Editor, DAX functions, Power BI Development (Desktop), Microsoft SQL Database and Microsoft Excel knowledge. This position is responsible for designing and implementing KPI dashboards to add value to the businesses by improving the business processes and improve efficiencies (e.g., delays in process flow) and compliance violations (e.g., control circumvention) across all Sanofi Business Service Lines. Data Science experience to build business cases for machine learning opportunities. Strong ability to review, recommend and implement technologies and tools. Proven knowledge of applicable Project methodologies (PM Methodology, Agile / Scrum) Proven Master Power BI developer skills (incl. Power Query, DAX, Visualization) Power BI, SQL (for Snowflake data mining).
+ Manage and coordinate projects and stakeholders for ongoing initiatives. Educate and enable the business users to use the data visualization tools. Act as a consultant for any data visualization related topics for the stakeholders. Good presentation skills with the ability to present non-technical details to a technical.
+ **Education:** Candidate must possess at least a bachelor's degree or master's degree in quantitative subject (computer science, mathematics, engineering, statistics or science).
+ **Languages:** High levels of proficiency in English
**Why choose us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks' gender-neutral parental leave.
+ Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (