347 Analytics Specialist jobs in India
Market Analytics Specialist
Bengaluru, Karnataka
GE HealthCare
Posted 2 days ago
Job Viewed
Job Description
**Job Description Summary**
As a Market Analytics Specialist, you will play a pivotal role in driving the International Region's market size reporting and forecasting processes across zones and headquarters. You'll deliver (hands-on) quarterly market size and share reporting and assist in market forecast (MF) exercises for Region HQ. Your experience in data analytics, expertise with Advanced MS Excel and Power BI will be crucial in crunching large swaths of data and churn readily actionable insights for Leadership. You will be part of Region HQ Market team and assistin Short-Near-Long Term market forecast exercises. Additionally, you will perform win-loss analyses, competitor share analysis and present actionable insights. This role demands a proactive and collaborative individual with strong analytical skills and the ability to own + 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) of quarterly market share reporting (MPR) process including COCIR, for the region by liaising with zone marketing & commercial finance, external agencies (eg: COCIR, JIRA).
+ 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. Experience with Python, Adv Excel/R is key.
+ Crunch data stored in large datasets (Excel, OAS, Smartsheets) and churn out reports, insights.
+ 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.
+ 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 executive leadership by updating Smartsheets and PowerBI dashboards during Monthly Operating Reviews (MOR) and Region Operating Reviews (ROR) with Region CEO.
+ 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, STEM, Economics, Information Technology, Data Science, or a related field.
+ An MBA (Finance/Marketing) OR Master's Degree in Computer Science, Data Science, is added advantage.
+ 2-5 years of experience in Marketing/Finance/Commercial/Pricing/Consulting domains - Proficiency in/Exposure to Analytical tools: Power BI, Python, Salesforce (SFDC), R, Advance Excel
+ Experience working in a matrix organization and with senior leaders (CXOs/Sr. Director)
+ Excellent analytical and problem-solving skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team.
**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 Python/R-Studio for Forecasting is great 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 5% 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
As a Market Analytics Specialist, you will play a pivotal role in driving the International Region's market size reporting and forecasting processes across zones and headquarters. You'll deliver (hands-on) quarterly market size and share reporting and assist in market forecast (MF) exercises for Region HQ. Your experience in data analytics, expertise with Advanced MS Excel and Power BI will be crucial in crunching large swaths of data and churn readily actionable insights for Leadership. You will be part of Region HQ Market team and assistin Short-Near-Long Term market forecast exercises. Additionally, you will perform win-loss analyses, competitor share analysis and present actionable insights. This role demands a proactive and collaborative individual with strong analytical skills and the ability to own + 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) of quarterly market share reporting (MPR) process including COCIR, for the region by liaising with zone marketing & commercial finance, external agencies (eg: COCIR, JIRA).
+ 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. Experience with Python, Adv Excel/R is key.
+ Crunch data stored in large datasets (Excel, OAS, Smartsheets) and churn out reports, insights.
+ 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.
+ 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 executive leadership by updating Smartsheets and PowerBI dashboards during Monthly Operating Reviews (MOR) and Region Operating Reviews (ROR) with Region CEO.
+ 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, STEM, Economics, Information Technology, Data Science, or a related field.
+ An MBA (Finance/Marketing) OR Master's Degree in Computer Science, Data Science, is added advantage.
+ 2-5 years of experience in Marketing/Finance/Commercial/Pricing/Consulting domains - Proficiency in/Exposure to Analytical tools: Power BI, Python, Salesforce (SFDC), R, Advance Excel
+ Experience working in a matrix organization and with senior leaders (CXOs/Sr. Director)
+ Excellent analytical and problem-solving skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team.
**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 Python/R-Studio for Forecasting is great 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 5% 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
This advertiser has chosen not to accept applicants from your region.
0
Data Analytics Specialist
Bengaluru, Karnataka
Fresenius Medical Care North America
Posted 2 days ago
Job Viewed
Job Description
Tasks performed regularly which form the essential characteristics of the position.
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.
This advertiser has chosen not to accept applicants from your region.
1
Sports Analytics Specialist
570001 Mysore, Karnataka
₹60000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is seeking a highly analytical and sports-passionate Sports Analytics Specialist to join their dynamic team. This role will be pivotal in leveraging data to provide actionable insights that enhance team performance, fan engagement, and strategic decision-making within the sports industry. You will work with large datasets, develop predictive models, and translate complex findings into clear, concise recommendations for coaches, management, and marketing teams.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and analyze large datasets related to player performance, game statistics, and fan behavior.
- Develop and implement statistical models and machine learning algorithms to identify trends and predict outcomes.
- Create compelling data visualizations and reports to communicate insights effectively to both technical and non-technical audiences.
- Collaborate with coaches, athletes, and management to understand their analytical needs and provide data-driven support.
- Identify key performance indicators (KPIs) and track their progress over time.
- Assist in the development of strategies to improve player performance and optimize game tactics.
- Analyze fan engagement data to inform marketing and sponsorship strategies.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Maintain a high level of data integrity and accuracy in all analyses.
- Contribute to the development of analytical tools and dashboards.
- Present findings and recommendations in a clear and persuasive manner.
- Evaluate the effectiveness of implemented strategies based on data analysis.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Sports Management, Computer Science, or a related quantitative field.
- 2+ years of experience in sports analytics or a related data analysis role.
- Proficiency in statistical programming languages such as Python or R.
- Experience with database management and SQL.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports rules, strategies, and performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills.
- Ability to work independently and collaboratively in a team environment.
This advertiser has chosen not to accept applicants from your region.
2
Sports Analytics Specialist
800001 Patna, Bihar
₹700000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is searching for a passionate and data-driven Sports Analytics Specialist to join their fully remote team. This role will leverage advanced analytical techniques to uncover insights that enhance athletic performance, strategy, and fan engagement. You will be instrumental in transforming raw sports data into actionable intelligence for coaches, athletes, and management.
Key responsibilities include:
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field, with 2-4 years of experience in sports analytics or a similar data analysis role. Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R is essential. Experience with statistical modeling, machine learning, and data visualization techniques is required. A strong understanding of sports and their associated data is highly beneficial. Excellent communication and presentation skills are crucial for conveying complex findings effectively. This is a fully remote position, requiring excellent organizational skills, self-motivation, and the ability to thrive in a collaborative virtual environment.
Key responsibilities include:
- Collecting, cleaning, and organizing large datasets from various sports, including performance metrics, game statistics, and player tracking data.
- Developing and implementing statistical models and algorithms to analyze player and team performance.
- Identifying key performance indicators (KPIs) and trends to provide strategic insights for performance improvement.
- Creating compelling visualizations and reports to communicate complex analytical findings to non-technical stakeholders.
- Collaborating with coaches and athletes to understand their needs and provide data-driven recommendations.
- Researching and evaluating new analytical tools and technologies to enhance the team's capabilities.
- Monitoring industry trends and competitor analysis through data-driven approaches.
- Assisting in the development of predictive models for game outcomes, player development, and injury risk.
- Ensuring data integrity and accuracy throughout the analytical process.
- Staying abreast of the latest developments in sports science and data analytics.
- Contributing to the overall strategy for leveraging data to achieve competitive advantages.
- Presenting findings and insights in a clear and concise manner to diverse audiences.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field, with 2-4 years of experience in sports analytics or a similar data analysis role. Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R is essential. Experience with statistical modeling, machine learning, and data visualization techniques is required. A strong understanding of sports and their associated data is highly beneficial. Excellent communication and presentation skills are crucial for conveying complex findings effectively. This is a fully remote position, requiring excellent organizational skills, self-motivation, and the ability to thrive in a collaborative virtual environment.
This advertiser has chosen not to accept applicants from your region.
3
Sports Analytics Specialist
695001 Thiruvananthapuram, Kerala
₹900000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client , a forward-thinking sports organization, is seeking a highly analytical and data-driven Sports Analytics Specialist. This role is completely remote, allowing you to contribute your expertise from anywhere. You will play a critical role in leveraging data to provide actionable insights that enhance athletic performance, strategic decision-making, and fan engagement. This is a unique opportunity to combine your passion for sports with your advanced analytical skills in a fully remote setting.
Key Responsibilities:
The ideal candidate will have a Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field. A minimum of 4-6 years of experience in sports analytics or a similar data analysis role is required. Proficiency in statistical programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are essential. Strong knowledge of database management and SQL is also necessary. Familiarity with various sports and their associated metrics is highly advantageous. Excellent communication and presentation skills are crucial for effectively conveying insights to non-technical audiences. This remote-first role, supporting operations relevant to Thiruvananthapuram, Kerala, IN , offers significant autonomy and impact.
Key Responsibilities:
- Collect, clean, and process large datasets from various sports-related sources (e.g., player statistics, game data, performance metrics, fan engagement data).
- Develop and implement statistical models and machine learning algorithms to analyze performance, identify trends, and predict outcomes.
- Create compelling data visualizations and reports to communicate complex findings to coaches, management, and other stakeholders.
- Provide data-driven recommendations to improve player development, team strategy, and operational efficiency.
- Collaborate with coaches and technical staff to understand their analytical needs and translate them into research questions.
- Design and analyze experiments to evaluate the effectiveness of new strategies or training methods.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Develop dashboards and tools for real-time performance monitoring.
- Contribute to a data-informed culture within the organization.
- Ensure data integrity and accuracy throughout the analytical process.
The ideal candidate will have a Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field. A minimum of 4-6 years of experience in sports analytics or a similar data analysis role is required. Proficiency in statistical programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are essential. Strong knowledge of database management and SQL is also necessary. Familiarity with various sports and their associated metrics is highly advantageous. Excellent communication and presentation skills are crucial for effectively conveying insights to non-technical audiences. This remote-first role, supporting operations relevant to Thiruvananthapuram, Kerala, IN , offers significant autonomy and impact.
This advertiser has chosen not to accept applicants from your region.
4
Sports Analytics Specialist
201301 Noida, Uttar Pradesh
₹900000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a data-driven Sports Analytics Specialist to join our growing team in **Noida, Uttar Pradesh, IN**. This role offers the unique opportunity to leverage advanced analytical techniques to gain insights into athletic performance, strategy, and fan engagement. You will work closely with coaching staff, management, and marketing teams to provide actionable data that drives decision-making and enhances our competitive edge. This hybrid role allows for a balance of in-office collaboration and remote work.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports-related sources, including performance metrics, player statistics, and game data.
- Develop and implement statistical models and machine learning algorithms to analyze player and team performance.
- Identify key trends, patterns, and insights that can inform strategic decisions and improve game outcomes.
- Create compelling data visualizations and reports to communicate complex findings to non-technical stakeholders.
- Work with coaching staff to understand their analytical needs and provide customized insights.
- Collaborate with the marketing team to analyze fan engagement and optimize promotional strategies.
- Contribute to the development of predictive models for player performance and game outcomes.
- Stay up-to-date with the latest advancements in sports analytics, data science, and relevant technologies.
- Assist in the evaluation and implementation of new data collection tools and methodologies.
- Present analytical findings and recommendations during team meetings and strategy sessions.
- Ensure data integrity and accuracy throughout the analytical process.
- Develop dashboards and interactive tools for real-time performance monitoring.
- Contribute to a data-driven culture within the organization.
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Computer Science, Mathematics, or a related quantitative field.
- Proven experience in sports analytics or a similar data analysis role.
- Strong proficiency in statistical analysis, modeling, and machine learning techniques.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Familiarity with SQL for database management and querying.
- Understanding of various sports, their rules, and common performance metrics is essential.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
- Ability to work effectively in a team environment and manage multiple projects simultaneously.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Passion for sports and a desire to leverage data to improve athletic performance.
This advertiser has chosen not to accept applicants from your region.
5
Sports Analytics Specialist
380001 Ahmedabad, Gujarat
₹70000 Monthly
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a rapidly growing sports analytics firm dedicated to revolutionizing performance and strategy in professional sports, is seeking a talented Sports Analytics Specialist. This role offers a unique opportunity to leverage data to gain insights and drive decision-making for elite sports teams and organizations. You will be working with large datasets, employing advanced statistical techniques and machine learning models to uncover actionable insights. This position requires a strong blend of analytical prowess, sports domain knowledge, and technical expertise. Join a passionate team that is at the forefront of sports innovation.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and process large datasets from various sports-related sources, including performance metrics, player statistics, and game data.
- Develop and implement statistical models and machine learning algorithms to analyze player performance, team dynamics, and game outcomes.
- Identify key trends, patterns, and insights that can inform strategic decisions for coaches, players, and management.
- Create compelling data visualizations and reports to communicate findings effectively to non-technical stakeholders.
- Collaborate with sports teams and organizations to understand their specific analytical needs and objectives.
- Stay abreast of the latest research and advancements in sports analytics, machine learning, and data science.
- Develop predictive models for player performance, injury risk, and game strategy optimization.
- Work with coaching staff to translate analytical insights into practical on-field applications.
- Contribute to the development of new analytical tools and methodologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Present findings and recommendations clearly and persuasively to diverse audiences.
- Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, Sports Science, or a related quantitative field.
- Proven experience in data analysis, statistical modeling, and machine learning.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports rules, strategies, and performance metrics across one or more major sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical concepts to a non-technical audience.
- Strong teamwork and collaboration skills.
- Ability to work independently and manage multiple projects effectively.
- Passion for sports and a deep curiosity for uncovering insights through data.
This advertiser has chosen not to accept applicants from your region.
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6
Sports Analytics Specialist
302001 Jaipur, Rajasthan
₹70000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a leading sports analytics firm, is seeking a talented and data-driven Sports Analytics Specialist to join their remote team. This role involves the in-depth analysis of sports performance data to provide actionable insights for athletes, coaches, and sports organizations. The ideal candidate will have a strong quantitative background, a passion for sports, and the ability to translate complex data into clear, understandable recommendations.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and analyze large datasets related to athletic performance, team statistics, and game outcomes.
- Develop and implement statistical models and predictive algorithms to identify trends and opportunities.
- Create compelling visualizations and reports to communicate findings to stakeholders.
- Provide data-driven recommendations to improve player performance, team strategy, and game management.
- Collaborate with sports professionals to understand their data needs and deliver tailored insights.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Design and evaluate experiments to test hypotheses related to performance optimization.
- Contribute to the development of new analytical tools and methodologies.
- Maintain data integrity and ensure the security of sensitive information.
- Present findings and insights effectively in both written and verbal formats to a non-technical audience.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Proven experience (3+ years) in data analysis, with a focus on sports analytics or a related domain.
- Strong proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
- Experience with database management and SQL.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Strong understanding of sports rules, strategies, and performance metrics across various disciplines.
- Ability to work independently in a remote setting, manage time effectively, and meet deadlines.
- Excellent communication and presentation skills.
- Familiarity with machine learning techniques is a plus.
- A genuine passion for sports and a desire to contribute to athletic success.
This advertiser has chosen not to accept applicants from your region.
7
Sports Analytics Specialist
226001 Lucknow, Uttar Pradesh
₹70000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a passionate and data-driven Sports Analytics Specialist to join their competitive team. This role is based at our state-of-the-art facility and requires an individual with a keen understanding of various sports, coupled with advanced analytical skills. You will be responsible for collecting, processing, and analyzing vast amounts of sports data to provide actionable insights for coaching staff, player development, and strategic decision-making. Key responsibilities include developing and implementing statistical models, performance metrics, and predictive analytics to identify trends, evaluate player performance, and optimize game strategies. You will work with various data sources, including performance tracking systems, game footage, and statistical databases. The ability to translate complex data into clear, concise reports and visualizations for non-technical stakeholders is essential. You will collaborate closely with coaches, athletes, and management to support their objectives and enhance team performance. A strong understanding of statistical software (e.g., R, Python, SPSS) and data visualization tools (e.g., Tableau, Power BI) is required. Experience with machine learning techniques applied to sports data is a significant advantage. The ideal candidate will have a deep knowledge of sports, exceptional analytical and problem-solving skills, and a passion for leveraging data to gain a competitive edge. This position offers an exciting opportunity to directly impact athletic performance and strategic planning within a leading sports organization located in **Lucknow, Uttar Pradesh, IN**.
This advertiser has chosen not to accept applicants from your region.
8
Sports Analytics Specialist
700001 Kolkata, West Bengal
₹800000 Annually
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Join our innovative team as a Sports Analytics Specialist in the vibrant city of Kolkata, West Bengal, IN . This hybrid role offers the perfect blend of in-office collaboration and remote flexibility. We are looking for a data-driven individual with a profound passion for sports to transform raw data into actionable insights. You will be instrumental in enhancing team performance, strategy development, and fan engagement through advanced analytical techniques.
Responsibilities will include collecting, cleaning, and analyzing vast datasets related to player performance, game statistics, and market trends. You will develop predictive models to forecast game outcomes, identify player strengths and weaknesses, and optimize strategic decisions. Collaborating closely with coaches, athletes, and management, you will translate complex findings into clear, concise reports and visualizations. The role also involves staying abreast of the latest advancements in sports analytics tools and methodologies, and proactively suggesting innovative approaches. You will contribute to the development of performance benchmarks and assist in scouting and talent identification processes by providing data-backed evaluations.
The ideal candidate will hold a Bachelor's or Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field. Proven experience in data analysis and statistical modeling is essential, preferably within the sports industry. Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are required. Strong understanding of sports rules, dynamics, and performance metrics across various disciplines is a significant advantage. Excellent communication and presentation skills are necessary to effectively convey analytical results to diverse stakeholders. A keen eye for detail, a critical thinking mindset, and the ability to work both independently and as part of a collaborative team are vital. This position is perfect for someone who thrives on uncovering patterns and driving informed decision-making in the exciting world of professional sports. If you are ready to make a significant impact with your analytical prowess, we encourage you to apply.
Responsibilities will include collecting, cleaning, and analyzing vast datasets related to player performance, game statistics, and market trends. You will develop predictive models to forecast game outcomes, identify player strengths and weaknesses, and optimize strategic decisions. Collaborating closely with coaches, athletes, and management, you will translate complex findings into clear, concise reports and visualizations. The role also involves staying abreast of the latest advancements in sports analytics tools and methodologies, and proactively suggesting innovative approaches. You will contribute to the development of performance benchmarks and assist in scouting and talent identification processes by providing data-backed evaluations.
The ideal candidate will hold a Bachelor's or Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field. Proven experience in data analysis and statistical modeling is essential, preferably within the sports industry. Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are required. Strong understanding of sports rules, dynamics, and performance metrics across various disciplines is a significant advantage. Excellent communication and presentation skills are necessary to effectively convey analytical results to diverse stakeholders. A keen eye for detail, a critical thinking mindset, and the ability to work both independently and as part of a collaborative team are vital. This position is perfect for someone who thrives on uncovering patterns and driving informed decision-making in the exciting world of professional sports. If you are ready to make a significant impact with your analytical prowess, we encourage you to apply.
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