Explore exciting Analytics Manager job opportunities in 126 Analytics Manager jobs in Delhi
Analytics Manager
Posted today
Job Viewed
Job Description
Position Title
Analytics Manager Ecommerce
Department:
Ecommerce
Work Location:
New Delhi
Grade:
M3
Travel Required:
Yes
Reporting to:
Vice President Digital
Reported by:
Minimum Job Requirements
Educational Qualification:
Graduate (MBA Preferred)
Experience:
5 8 yrs. of total experience with minimum 3 years of experience in managing analytics for Ecommerce.
Any additional requirement:
Purpose of the Position (Job Summary)
The primary responsibility shall be to do sales and inventory data analysis for Ecommerce channel and share insights that shall help in driving revenue growth, optimizing marketing performance, improving customer journey, identifying opportunities, highlighting risks and enable overall faster data driven decision making.
Key Roles and Responsibilities
Overall
Automate key sales and inventory reporting dashboards for E-commerce and Quick commerce channels.
Prepare weekly review decks with necessary data insights
Manage and maintain the sales data repository
Track business critical KPIs and identify right inputs to drive improvement
Liaison with sales, marketing and merchandising teams
Liaison with Finance team to drive cost efficiencies
Support Business head and Finance partner for AOP planning at account level
Timely information sharing with relevant stakeholders
Competencies
Technical/Functional
Behavioral
Advanced Excel skills
Power BI
Google Analytics/Web Analytics
Financial Analysis
Retail and Marketing Analysis
Strong analytical skills
Strong interpersonal skills
Excellent spoken and written communication
Ability to engage and coordinate with multiple stakeholders
Key Responsibility Areas
Quantitative
Qualitative
Build Power BI dashboards for Web and 3P marketplace channels, capturing all important KPIs i.e sales, gross margin, discount%, returns% and bestsellers etc.
Optimize spending and maximize ROI basis marketing performance insights.
Competition benchmarking for KPIs like ASP and Conversion %
Overall management of digital sales data.
Overall management of DTC consumer experience
Weekly/Monthly business reviews with partners
Efficient Inventory planning with demand planning team
Key Stakeholder Management
Internal
External
Category and Demand planning
Finance
Performance Marketing
Brand Marketing
Supply chain
3PL warehouse partner
Marketplaces
Analytics Manager
Posted today
Job Viewed
Job Description
Position Title
Analytics Manager Ecommerce
Department: Ecommerce
Work Location: New Delhi
Grade: M3
Travel Required: Yes
Reporting to: Vice President Digital
Job Requirements
Educational Qualification: Graduate (MBA Preferred)
Experience:
5 8 yrs. of total experience with minimum 3 years of experience in managing analytics for Ecommerce.
Any additional requirement:
Purpose of the Position (Job Summary)
The primary responsibility shall be to do sales and inventory data analysis for Ecommerce channel and share insights that shall help in driving revenue growth, optimizing marketing performance, improving customer journey, identifying opportunities, highlighting risks and enable overall faster data driven decision making.
Key Roles and Responsibilities
Overall
Automate key sales and inventory reporting dashboards for E-commerce and Quick commerce channels.
Prepare weekly review decks with necessary data insights
Manage and maintain the sales data repository
Track business critical KPIs and identify right inputs to drive improvement
Liaison with sales, marketing and merchandising teams
Liaison with Finance team to drive cost efficiencies
Support Business head and Finance partner for AOP planning at account level
Timely information sharing with relevant stakeholders
Competencies
Technical/Functional
Behavioral
Advanced Excel skills
Power BI
Google Analytics/Web Analytics
Financial Analysis
Retail and Marketing Analysis
Strong analytical skills
Strong interpersonal skills
Excellent spoken and written communication
Ability to engage and coordinate with multiple stakeholders
Key Responsibility Areas
Quantitative
Qualitative
Build Power BI dashboards for Web and 3P marketplace channels, capturing all important KPIs i.e sales, gross margin, discount%, returns% and bestsellers etc.
Optimize spending and maximize ROI basis marketing performance insights.
Competition benchmarking for KPIs like ASP and Conversion %
Overall management of digital sales data.
Overall management of DTC consumer experience
Weekly/Monthly business reviews with partners
Efficient Inventory planning with demand planning team
Key Stakeholder Management
Internal
External
Category and Demand planning
Finance
Performance Marketing
Brand Marketing
Supply chain
3PL warehouse partner
Marketplaces
Analytics Manager
Posted today
Job Viewed
Job Description
Analytics Manager
About the Role:
We are seeking an Analytics Manager to lead the integration of digital and real-world data for a large-scale political campaign in Punjab. The role will involve designing frameworks to collect, analyze, and structure data so it can be effectively used for campaign targeting, paid media, push emails, and voter outreach. The ideal candidate will have a strong grasp of Punjab’s demographic and political landscape, expertise in social and digital analytics, and the ability to translate raw data into actionable campaign strategies.
Years of Experience Required:
5–7 years in analytics, digital research, or campaign data strategy
Type:
Work from Office (Mohali/Chandigarh)
Language & Cultural Requirement:
Ability to read and interpret Punjabi (essential for accurate data analysis and insights)
Strong understanding of Punjab’s socio-political and demographic realities
Proficiency in Hindi and English for cross-team collaboration and reporting
Key Responsibilities
Data Integration & Strategy
Develop frameworks to marry digital listening data with ground-level research and demographic information.
Create scalable systems for structuring voter and campaign data to enable downstream use in paid media, push emails, and targeted outreach.
Establish clear taxonomies, categories, and processes to ensure data is accessible, retrievable, and actionable.
Social & Political Analysis
Lead analysis of online sentiment, conversations, and trends, contextualizing them with voter behavior, caste/community demographics, and local issues.
Build models to identify voter micro-segments and recommend targeted strategies.
Surface insights that help the campaign refine messages and optimize channel mix.
Insight Generation & Application
Translate large volumes of raw digital and field data into actionable insights for media planning, messaging, and outreach teams.
Provide recommendations on where and how to deploy paid media spends for maximum resonance and efficiency.
Support creation of dynamic audience segments for personalized campaign interventions.
Reporting & Visualization
Develop advanced dashboards, trackers, and periodic reports for campaign leadership.
Present insights clearly, highlighting not just what is happening but why it matters and how to respond.
Ensure data-driven recommendations are tied to real-world campaign objectives and voter engagement outcomes.
Operations & Quality Control
Set standards for data collection, classification, and integration across teams (social listening, field research, CRM, outreach).
Ensure accuracy, consistency, and timeliness of reporting.
Recommend process improvements, tool adoption, and automation opportunities for data management.
Core Competencies
Analytical Expertise:
Strong skills in quantitative and qualitative data analysis; experience with tools such as SQL, Power BI, Tableau, or equivalent.
Social Listening & Digital Knowledge:
Proficiency with tools like Sprinklr, Talkwalker, Brandwatch, or equivalent; ability to interpret online data.
Demographic Understanding:
Deep knowledge of Punjab’s socio-political demographics, voter behavior, and local issues.
Strategic Thinking:
Ability to design systems that connect insights to actionable campaign strategies.
Communication:
Strong skills in presenting complex data in simple, clear narratives for decision-makers.
Organizational Rigour:
Ability to set up processes, ensure data hygiene, and manage cross-functional integration.
Agility:
Comfortable working in a fast-paced, high-stakes political environment with evolving priorities.
This is a 12-month contractual position based in Mohali/Chandigarh, with the possibility of renewal based on performance and project requirements.
Analytics Manager
Posted today
Job Viewed
Job Description
We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership, client management, and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.
In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems, design solutions, deliver analytical work, and present actionable insights. We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results
About Us
Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide.
What Makes This Role Exciting?
- Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
- Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
- Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products.
- Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role, driving meaningful results and team success
What You’ll Do
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
- Lead and mentor a team of consultants, setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning
Essential Criteria
- 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
- Strong solutioning mindset: able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
- Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
- Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
- Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
- Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
- Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
- Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
- Mindset: hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Why Join Prospection?
- Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth: Be part of a rapidly scaling company with career advancement opportunities.
- Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.
Analytics Manager
Posted 14 days ago
Job Viewed
Job Description
Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.
We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.
In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results
About Us
Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .
What Makes This Role Exciting?
- Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
- Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
- Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
- Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success
What You’ll Do
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
- Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning
Essential Criteria
- 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
- Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
- Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
- Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
- Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
- Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
- Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
- Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
- Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Why Join Prospection?
- Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth : Be part of a rapidly scaling company with career advancement opportunities.
- Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.
Analytics Manager
Posted 14 days ago
Job Viewed
Job Description
Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.
We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.
In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results
About Us
Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .
What Makes This Role Exciting?
- Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
- Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
- Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
- Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success
What You’ll Do
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
- Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning
Essential Criteria
- 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
- Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
- Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
- Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
- Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
- Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
- Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
- Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
- Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Why Join Prospection?
- Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth : Be part of a rapidly scaling company with career advancement opportunities.
- Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.
Analytics Manager
Posted 14 days ago
Job Viewed
Job Description
Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.
We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.
In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results
About Us
Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .
What Makes This Role Exciting?
- Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
- Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
- Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
- Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success
What You’ll Do
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
- Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning
Essential Criteria
- 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
- Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
- Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
- Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
- Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
- Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
- Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
- Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
- Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Why Join Prospection?
- Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth : Be part of a rapidly scaling company with career advancement opportunities.
- Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.
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Sports Analytics Manager
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the development and application of advanced analytical models for sports performance.
- Analyze game data, player statistics, and fan engagement metrics.
- Collaborate with coaching staff and athletes to provide actionable insights.
- Develop predictive models for player performance and game outcomes.
- Oversee data collection, cleaning, and management processes.
- Mentor and manage a team of sports data analysts.
- Present complex findings to diverse stakeholders in a clear and concise manner.
- Identify emerging trends and opportunities for data-driven innovation in sports.
- Master's or Ph.D. in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- Minimum of 5-7 years of experience in sports analytics or a related quantitative field.
- Proven experience in statistical modeling, machine learning, and data mining.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports dynamics and performance metrics.
- Excellent leadership, communication, and presentation skills.
Sports Analytics Manager - Remote
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and implement sophisticated analytical models to evaluate player performance, team strategies, and game outcomes.
- Collect, clean, and analyze large datasets from various sports sources, including performance metrics, scouting data, and fan engagement platforms.
- Create compelling visualizations and dashboards to present complex data insights to coaches, management, and other stakeholders.
- Identify key trends and patterns to provide strategic recommendations for player development, team recruitment, and competitive advantage.
- Lead and mentor a team of sports analysts, fostering a collaborative and high-performance environment.
- Stay abreast of the latest trends and technologies in sports analytics, data science, and artificial intelligence.
- Collaborate with IT and data engineering teams to ensure data integrity and accessibility.
- Develop predictive models for various sports-related outcomes.
- Communicate findings clearly and concisely through reports and presentations.
- Contribute to the overall strategic decision-making process through data-informed insights.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a closely related analytical field, with a strong focus on sports.
- Proven experience in statistical modeling, machine learning, and data visualization.
- Proficiency in programming languages such as Python or R, and SQL.
- Familiarity with sports-specific data sources and analytical tools.
- Strong understanding of various sports and their performance metrics.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Demonstrated leadership experience in managing analytical teams.
- Experience working in a remote setting is essential.
- A passion for sports and a commitment to using data to enhance athletic performance and engagement.
This remote role offers an exciting opportunity to be at the forefront of sports analytics, driving innovation and impact for our client's sports operations.
Senior Sports Analytics Manager
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the collection, processing, and analysis of performance data from various sports disciplines.
- Develop and maintain sophisticated statistical models to identify performance trends, predict outcomes, and optimize training regimens.
- Design and present comprehensive reports and dashboards that clearly communicate key findings to stakeholders.
- Collaborate closely with coaching staff to understand their analytical needs and tailor insights accordingly.
- Mentor and guide junior analysts, fostering a culture of continuous learning and data-driven decision-making.
- Stay abreast of the latest advancements in sports analytics, machine learning, and data science technologies.
- Identify opportunities to implement new technologies and methodologies to enhance data analysis capabilities.
- Manage relationships with data providers and technology partners to ensure data integrity and access.
- Contribute to strategic planning by providing data-backed recommendations for player recruitment, development, and game strategy.
- Ensure data privacy and security protocols are strictly adhered to throughout all analytical processes.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Proven experience (5+ years) in sports analytics, with a strong portfolio of successful projects.
- Expertise in statistical modeling, predictive analytics, and machine learning algorithms.
- Proficiency in programming languages such as Python or R, and experience with SQL databases.
- Advanced data visualization skills using tools like Tableau, Power BI, or similar.
- Deep understanding of various sports, their rules, and performance metrics.
- Excellent communication, presentation, and interpersonal skills, capable of engaging with diverse audiences.
- Strong leadership and team management abilities.
- Ability to work effectively in both collaborative team settings and independently in a remote capacity.
- A strategic mindset with a passion for leveraging data to achieve competitive advantages in sports.