702 Analytics Lead jobs in India

**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.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you are part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Senior Manager, Medical Data and Analytics Lead**
What you will do
Let's do this. Let's change the world. In this vital role you will be a member of the Medical Data and Analytics team, reporting directly to the Medical Data and Analytics Head. We are seeking a highly motivated leader who will be responsible for delivering best-in-class analytics and insights for Amgen Global Medical organization across therapeutic areas. This person will leverage an understanding of the program objectives to conduct data analytics, generate and share insights and foster continuous business discussions to help shape Amgen Medical organization's patient support strategies.
In this role, you will lead and supervise 3 or more Analytics "pods", each consisting of a small team (1-3 resources), and will lead project planning and management of activities across medical stakeholders and analytics team to deliver on priorities. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will lead a team that will enable development of a sustainable platform for ongoing transformation.
The ideal candidate will leverage their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes.
**Objectives of this Role**
Team Leadership: Lead 3 or more analytics "pods", each staffed with a small team of analytics resources to support key deliverables below:
+ Lead experimentation, development, and scaling of data science and data engineering solutions through deep understanding of various interconnected systems and data and with the use of AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques to determine cause and effect
+ Lead comprehensive Medical targeting and segmentation activities for US and Global Therapeutic Areas for multiple channels, including Field and digital channels
+ Lead generation and dissemination of KPIs by developing, deploying, and maintaining critical dashboards across various Medical sub-teams. Also expected to partner with key stakeholders to identify Key Business Questions to be solved through use of appropriate methods and techniques
**Job Responsibilities:**
+ Establish and grow Amgen India's center of excellence for Medical Data and Analytics from the ground up
+ Oversee multiple small teams focused on end-to-end data, platforms, targeting, segmentation, analytics, and reporting and visualization
+ Evaluate, interpret, and present analyses on specific business objectives and in preparation for ad hoc "investigative" requests.
+ Develop advanced statistical measurement models to determine cause and effect
+ Provide leadership in building and maintaining functional ambitions for teams
+ Interact and collaborate with various Medical, Commercial and Technology groups across Amgen India to holistically understand data, platforms, and processes to identify areas of refinement and optimization
+ Lead project planning and management of activities across medical stakeholders and analytics team to deliver on priorities.
+ Identify opportunities and improve the Analytics team capabilities by researching and implementing new analytical tools, methodologies, internal and external best practices, new data sources, etc.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Doctorate degree and 4 years of Data Analytics OR
+ Master's degree and 8 to 10 years of Data Analytics
+ Bachelor's degree and 10 to 12 years of Data Analytics
+ 5+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
+ Experience leading insights driven discussion forum for periodic performance reviews with leadership
+ Experience with US Pharmaceutical market with respect to commercial and/or medical business objectives, data and core analytics
+ Leader who can "connect the dots" across matrixed organization
+ Ability to play the roles of player and coach
+ Passion for data exploration & visualization and building narratives to drive data-driven business transformation
+ Intellectual curiosity, with ability to learn new concepts, and methods
+ Energy for applying technical skills to solving complex business problems with elegant data analyses and Digital Products
+ Experience working in highly collaborative cross-functional environments
**Preferred Qualifications:**
+ Prior multinational corporate experience (capability center or other)
+ Experience with data lakes and platforms, data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI
+ Experience working with business partners to identify complex functionality and translate it into requirements
+ Experience in preparing executive communication to include written and oral presentations.
**Soft Skills:**
+ Influence and persuasion skills
+ Effective communication and people skills.
+ Elevated level of integrity and ethical standards.
+ Problem-solving and critical thinking capabilities.
+ Ability to influence and lead change.
+ Adaptability to a dynamic and challenging environment
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards plans that are aligned with local industry standards.
+ Competitive salary and comprehensive benefits package
+ Opportunities for professional growth and career development
+ A collaborative and inclusive work environment
+ Flexible work models, including remote work arrangements

**Job Description Summary**
As a Market Analytics Lead, you will play a pivotal role in driving the International Region's market forecasting, market size reporting and strategic planning efforts across zones and headquarters. You own (hands-on) quarterly market size and share reporting, market forecast (MF) exercises and support long term strategic planning processes (LTS, WWPP etc.). Your experience in data analytics, and strong expertise with tools like Advanced MS Excel and Power BI will be crucial in crafting powerful and insightful analysis and stories to Leadership. Crunching data stored in large datasets using Excel + PowerBI and creating insightful reports is key. You will build effective relationships with key stakeholders across Zones and Modality teams, across Marketing, Finance, Commercial, Strategy & Growth functions. Additionally, you will perform win-loss analyses, competitor share analysis, PSRs/PSPs (problem solving reports) and present readily actionable insights to senior leadership. Additionally, you will also get to work on large-scale Automation/Transformation projects. This role demands a proactive and collaborative individual with strong analytical skills and the ability to own and consistently deliver high quality work with minimal supervision.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
**Job Description**
**Roles and Responsibilities:**
+ Own (hands-on execution) the quarterly market share reporting (MPR) process for the region by liaising with zone marketing & commercial teams, external agencies (3rd party) and Corporate Finance.
+ Own (hands-on execution) the market forecasting (MF) process centrally for International region. Prepare datasets using 3rd party macro-economic data, Market Size data etc. and run ML models.
+ Interlock with Regional leaders across Business (GMs, Strategy) and Product (GMs, Marketers) Teams to capture qualitative insights and timely deliver the same to HQ Leadership.
+ Conduct ad-hoc analysis on competitive share, win rate, visibility, and share metrics. Analyse Salesforce.com (SFDC) CRM, Market data and other sources to build comprehensive data sets for competitor share and market visibility.
+ Crunch data stored in large datasets (Excel, OAS, Smartsheets) and churn out reports, insights. - Partner with Analytics Lead to build new / enhance existing views on Power BI dashboard (Ecosystem). Hands-on experience of Power BI is a must while good knowledge of Salesforce.com (SFDC), Tableau, Oracle Analytics System (OAS) is a plus.
+ Assist your direct-reporting Leader in Running monthly and quarterly forums to foster productive cross-functional discussions between diverse set of stakeholders, identify and remove bottlenecks.
+ Assist your direct-reporting Leader in the strategic / long-term planning process (LTS, WWPP, Budget setting) by building charts, reports and 3rd party backed insights.
+ Update Key Performance Indicators (KPIs) related to Market (Size, Share% etc.) on Smartsheets.
+ Constantly identify opportunities to enhance collaboration, save time, reduce costs, and eliminate redundant steps.
**Required Qualifications:**
+ Bachelor's degree in computer science, Information Technology, Data Science, or a related field. - An MBA (Finance/Marketing) OR Master's Degree in Computer Science, Data Science, is added advantage.
+ 5-8 years of experience in Marketing/Finance/Commercial/Pricing/Consulting domains - Proficiency in Analytical tools: Power BI, Salesforce Analytics (SFDC), Tableau, Advanced MS Excel
+ Strong understanding of market reporting process, marketing/sales domain.
+ Experience working in high performance team in a matrix organization with minimal supervision
+ Experience working with / presenting to leadership (Eg: Directors, VPs)
+ Excellent analytical and problem-solving skills
+ Strong communication and collaboration skills
**Desired Experience (advantage):**
+ Experience crunching reports in Advanced MS Excel and presenting strategic insights using Power BI/ Tableau/Spotfire to senior leadership is a must.
+ Experience in Power BI is a must while hands-on experience with Automation tools (Power Automate/UiPath/VBA Macros) is highly desirable.
+ Previous experience being part of Market Analytics / Finance Planning & Analysis (FP&A) / Pricing Analytics teams is an added advantage.
+ High energy and ability to work in a high impact / visibility project (demonstrate)
+ High "Say : Do" ratio, level of ownership (demonstrate)
+ Demonstrate proactiveness and a go-getter attitude to identify problems with minimal supervision and propose solutions
**What We Offer:**
+ Opportunities for professional development and career growth
+ Flexible working hours and hybrid work options
+ Coaching and mentoring by senior industry leaders across domains
+ This role might include International Travel up to 10% of time.
**Inclusion and Diversity**
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
Our **total rewards** are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
Disclaimer: _GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare._
**#LI-ML1**
**#LI-Onsite**
**Additional Information**
**Relocation Assistance Provided:** No

Our client, a forward-thinking sports management group, is seeking a dynamic and innovative Sports Analytics Lead to join their team. While the primary office is located in **Mumbai, Maharashtra, IN**, this position is fully remote, offering you the flexibility to work from anywhere in India. The ideal candidate will possess a deep passion for sports combined with advanced analytical skills to derive actionable insights from complex datasets. You will be responsible for developing and implementing cutting-edge analytical models to optimize team performance, player development, and strategic decision-making across various sports. This role involves collecting, cleaning, and analyzing large volumes of sports-related data, including player statistics, game metrics, and fan engagement data. You will create compelling visualizations and reports to communicate findings to coaches, management, and other stakeholders. Key responsibilities include identifying trends, predicting outcomes, and evaluating the effectiveness of different strategies and interventions. Experience with statistical software (R, Python), database management, and machine learning techniques is essential. We are looking for a proactive individual who can not only crunch numbers but also translate them into practical recommendations that drive success on and off the field. A strong understanding of sports strategy and dynamics is highly beneficial. The candidate should possess excellent communication and presentation skills, with the ability to explain complex analytical concepts to non-technical audiences. A Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field is required. Previous experience in sports analytics is a significant advantage. Join us in revolutionizing sports performance through data-driven insights.

Our client, a burgeoning sports technology firm, is seeking an innovative and data-driven Sports Analytics Lead to join their expanding team. This role, based in Surat, Gujarat, IN , will be instrumental in leveraging advanced analytics to enhance athletic performance, strategic decision-making, and fan engagement across various sports disciplines. The successful candidate will be responsible for designing and implementing sophisticated analytical models, interpreting complex datasets, and translating these insights into actionable recommendations for coaches, athletes, and management. You will lead a team of analysts, providing mentorship and guiding their research and development efforts. This position requires a strong foundation in statistical modeling, machine learning, and data visualization, coupled with a deep passion for sports. Experience with performance tracking technologies and physiological data is highly desirable. You will work closely with sports scientists and coaches to understand their needs and develop tailored analytical solutions. This role offers a unique opportunity to shape the future of sports analytics and make a tangible impact on competitive outcomes. The ideal candidate is a strategic thinker, adept at communicating complex findings to both technical and non-technical audiences, and possesses a proactive approach to identifying new analytical opportunities. We are looking for a leader who can drive innovation and foster a data-centric culture within the sports organization.

Responsibilities:

• Develop and implement advanced statistical and machine learning models for sports performance analysis.
• Analyze large datasets from various sources, including performance metrics, biomechanics, and physiological data.
• Provide data-driven insights and recommendations to coaches and athletes to optimize training and game strategies.
• Lead and mentor a team of sports analysts, fostering a collaborative and high-performing environment.
• Design and manage A/B testing frameworks for evaluating training programs and strategic interventions.
• Develop dashboards and reports to visualize key performance indicators and trends.
• Stay abreast of the latest research and technologies in sports science and analytics.
• Communicate complex analytical findings clearly and concisely to diverse stakeholders.
• Collaborate with technology partners to integrate new data sources and analytical tools.
• Contribute to the development of new analytical products and services.

Qualifications:

• Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
• Minimum of 7 years of experience in sports analytics or a similar quantitative role, with at least 2 years in a leadership position.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R, and database querying languages (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports science principles and common sports metrics.
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated ability to lead and inspire a team.

Our client, a dynamic organization at the forefront of the sports industry, is seeking a highly analytical and innovative Sports Analytics Lead. This fully remote position will be responsible for leveraging data to provide actionable insights that drive strategic decisions across various aspects of sports operations, athlete performance, fan engagement, and business development. You will lead a team of analysts, develop predictive models, and communicate complex findings to diverse stakeholders, including coaches, management, and marketing teams.

Responsibilities:

• Lead the development and implementation of data analytics strategies for sports performance, scouting, fan engagement, and operational efficiency.
• Design, build, and maintain advanced statistical models and machine learning algorithms to uncover insights from sports data.
• Collect, clean, and process large datasets from various sources (e.g., player tracking, game statistics, social media, ticketing data).
• Collaborate closely with coaches, athletes, and performance staff to understand their analytical needs and deliver tailored solutions.
• Develop compelling visualizations and dashboards to communicate complex analytical findings to both technical and non-technical audiences.
• Identify key performance indicators (KPIs) and establish benchmarks for success.
• Stay abreast of the latest trends and technologies in sports analytics, data science, and machine learning.
• Mentor and guide junior data analysts and data scientists.
• Manage data governance and ensure data integrity and security.
• Present findings and recommendations to senior leadership, influencing strategic decision-making.

Qualifications:

• Master's degree or PhD in Statistics, Data Science, Computer Science, Sports Science, Mathematics, or a related quantitative field.
• 5-7 years of professional experience in data analytics, with a specialization in sports analytics.
• Proven experience in developing and deploying statistical models and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of sports operations, performance metrics, and relevant data sources.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience leading a team and managing projects in a remote environment.

This is a ground-breaking opportunity to shape how data informs strategy in the world of sports. You will be empowered to innovate and make a tangible impact from anywhere. The insights generated will support operations and performance related to Kochi, Kerala, IN .

Our client is looking for an analytical and sports-savvy individual to join them as a Sports Analytics Lead. This hybrid role offers the flexibility to work both remotely and from our Vadodara, Gujarat, IN office. You will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights that drive performance improvements across various sports disciplines. The ideal candidate possesses a strong background in statistical analysis, data modeling, and predictive analytics, with a passion for sports. You will work with coaches, athletes, and management to identify key performance indicators (KPIs), develop reporting dashboards, and translate data into strategic recommendations. Responsibilities include utilizing statistical software (e.g., R, Python, SPSS) and data visualization tools (e.g., Tableau, Power BI) to present findings clearly and effectively. Experience in sports performance analysis, scouting data, or fan engagement metrics is highly desirable. You will be involved in developing and implementing data-driven strategies to enhance team performance, optimize training regimens, and improve fan experience. Strong communication and presentation skills are essential to convey technical information to non-technical stakeholders. A Bachelor's or Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field, along with 4+ years of experience in data analysis, preferably within the sports industry, is required. If you are eager to leverage data to make a significant impact in the world of sports, we encourage you to apply.

Our client, a leading sports organization, is looking for a highly skilled and passionate Sports Analytics Lead to join their team in **Visakhapatnam, Andhra Pradesh**. This hybrid role combines strategic data analysis with practical application to enhance team performance and fan engagement. You will be responsible for leveraging data to provide actionable insights that drive decision-making across various aspects of the sports operations.

Responsibilities:

• Lead the development and implementation of advanced analytics strategies for sports performance, player development, and fan engagement.
• Collect, clean, and analyze large datasets from various sources, including player statistics, game data, and market trends.
• Develop predictive models to forecast game outcomes, player performance, and potential injury risks.
• Create compelling data visualizations and reports to communicate complex findings to coaches, management, and other stakeholders.
• Collaborate with coaching staff to identify key performance indicators (KPIs) and develop data-driven training programs.
• Research and implement new analytical tools and techniques to stay at the forefront of sports analytics.
• Manage and mentor a team of junior analysts, fostering a culture of data-driven inquiry.
• Contribute to the strategic planning of the organization by providing data-informed recommendations.
• Ensure the integrity and accuracy of all data inputs and analytical outputs.
• Present findings and insights at team meetings and industry conferences.
• Develop and maintain databases and data warehousing solutions for sports-related information.
• Evaluate the effectiveness of implemented strategies and recommend adjustments based on ongoing analysis.

Qualifications:

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics, with at least 2 years in a leadership role.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, NumPy, scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports rules, strategies, and performance metrics across multiple disciplines.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to translate technical findings into understandable insights for non-technical audiences.
• Experience managing projects and leading small teams.
• Familiarity with SQL and database management.
• Ability to work effectively in a collaborative, fast-paced environment.

This role offers a unique opportunity to shape the future of sports analytics and contribute to the success of our client's teams. If you are passionate about sports and possess exceptional analytical skills, we encourage you to apply.