150 Analytics Manager jobs in Noida

• Lead the analysis of sports data to derive actionable insights for performance improvement.
• Develop and implement statistical models and machine learning algorithms.
• Create compelling data visualizations and reports for stakeholders.
• Collaborate with coaching staff and performance analysts to integrate data into decision-making processes.
• Identify key performance indicators (KPIs) and track progress against strategic goals.
• Manage and mentor a team of sports analysts.
• Stay current with the latest trends and technologies in sports analytics.
• Evaluate the impact of strategies and provide recommendations for optimization.
• Ensure data integrity and accuracy throughout the analysis process.
• Communicate complex analytical findings clearly and effectively to diverse audiences.

• Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
• Minimum of 6 years of experience in sports analytics or data science, with at least 2 years in a leadership role.
• Proficiency in programming languages such as Python, R, and SQL.
• Experience with data visualization tools (Tableau, Power BI).
• Strong understanding of statistical modeling and machine learning techniques.
• Deep knowledge of various sports and their performance metrics.
• Excellent communication and presentation skills.
• Ability to work effectively in a hybrid team environment.

• Develop and implement advanced analytical models to assess player performance, team strategies, and game outcomes.
• Manage the collection, cleaning, and analysis of diverse sports data sets, including performance metrics, scouting data, and fan engagement statistics.
• Create compelling data visualizations and reports to communicate complex findings to coaches, management, and other stakeholders.
• Identify key performance indicators (KPIs) and trends that can provide a competitive advantage.
• Collaborate with coaching staff and sports science teams to integrate analytical insights into training and game-day strategies.
• Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
• Lead and mentor a team of junior analysts, fostering a data-driven culture within the organization.
• Contribute to strategic planning by providing data-backed recommendations for player recruitment, talent development, and operational improvements.
• Ensure data integrity and security across all analytical processes.
• Present findings and recommendations at internal meetings and potentially external conferences.

• Master's degree in Statistics, Data Science, Sports Management, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in sports analytics or a closely related field.
• Proven expertise in statistical modeling, data mining, and predictive analytics.
• Proficiency with data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib, Seaborn), R, SQL, Tableau, or Power BI.
• Strong understanding of sports performance metrics and methodologies.
• Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into clear insights.
• Demonstrated ability to work independently and manage projects effectively in a fully remote environment.
• Experience with machine learning techniques applied to sports is a plus.
• Passion for sports and a deep understanding of various sport dynamics.
• Ability to collaborate effectively with diverse teams and stakeholders.

Job Purpose:

This role drives data-based problem solving within the Growth team . The person will work closely with business teams to understand growth challenges, translate them into analytical problems, and deliver insights that improve acquisition, engagement, and retention. The role involves deep hands-on analysis across multiple data sets to support data-driven decision-making for the app and loan products.

Principal Accountabilities:

1. Business Understanding & Problem Solving

• Partner with Growth and Product teams to understand key challenges and priorities.
• Translate business goals into analytical problems with measurable outcomes.
• Ensure insights directly influence strategy and execution.

2. Analytics & Insight Generation

• Lead analytical projects and dashboards for app installs, user funnel, and marketing performance.
• Build models to identify users likely to install, churn, or uninstall the app.
• Run exploratory analysis to uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity
• Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure
• Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company

3. Segmentation & Targeting

• Develop data-driven segments for Personal Loan, Business Loan, app installs, and engagement features like Credit Score, Bill Payments, and Standalone Insurance.
• Build and refine propensity models to predict high-conversion and high-value cohorts.
• Recommend targeting, timing, and communication strategies to improve performance.

4. Marketing Optimization

• Analyze campaign and channel data to reduce acquisition cost and improve ROI.
• Identify the right channel, timing, and frequency for customer engagement.
• Support experiments and A/B tests to validate strategies.

Qualifications

• B.Tech from a Tier-1/Tier-2 institute with 4-5 years of experience
• MBA is a plus

Work Experience/Skills

• 4-5 years of relevant proven experience from a numbers-driven and analytical marketing environments - perhaps in an online consumer business or a Bank/NBFC
• Strong data handling, interpretive and problem-solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
• Skills: R/Python, SQL , Tableau, Advanced Excel including Pivot Tables

About Careem:
Careem is the internet platform for the greater Middle East region. A pioneer of the region's ride-hailing economy, Careem is expanding services across its platform to include mass transportation, delivery and payments to become the region's everyday SuperApp. Careem's mission is to simplify and improve the lives of people and build a lasting organisation that inspires. Careem was established in July 2012, and was acquired by Uber in 2020. Careem operates in over 100 cities across 14 countries and has created more than one million employment opportunities in the region.

The Central Food Partner teams mission is to monitor, track and improve the performance of partners while improving the overall app experience for the customers. This will involve building and tracking the full picture of the food business from the partner perspective, uphold the experience bar for them, provide actionable insights, formulate problems and contribute to solving them. As part of this team, you will be a core team member fulfilling this mission. You will be working with partner, commercial, product, and operations teams across the region, leveraging modern analysis and visualization tools to solve the regions day-to-day problems.

What you will do

• Drive business growth through product funnel enhancements
• Identifying growth opportunities using data, analytics & other tools
• Designing experiments to test whether the interventions will drive growth for the business
• Help design, document & maintain system processes.
• Build a strong feedback loop on product features with the product team
• Work very closely with the commercial teams across markets to scale product features roll-out
• Drive and support your designated business unit by converting complex data and findings into insights
• Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for business improvement

What you will need

• Relevant experience of 5 Years
• Strong communication and organizational skills
• Detail oriented and high accuracy execution
• Experience in food industry / product ops preferred
• MS Excel proficiency & proven hands on experience in SQL and Python
• Experience with visualization tools i.e. tableau/ power BI
• Previous experience in a high growth environment/tech start up
• Working with large amounts of data on spreadsheets/dashboards
• Cross functional collaboration

• Lead the development and application of advanced statistical and machine learning models for sports performance analysis.
• Collect, clean, and analyze large datasets from various sources (e.g., athlete tracking systems, game data, physiological sensors).
• Develop and maintain dashboards and reports to visualize key performance indicators and trends for coaches and management.
• Provide data-driven insights and recommendations to optimize training programs, player selection, and in-game strategies.
• Collaborate with coaching staff and athletes to understand their needs and translate them into analytical projects.
• Stay abreast of the latest research and technological advancements in sports analytics and performance science.
• Mentor and guide junior analysts, fostering a data-informed culture within the organization.
• Manage relationships with data providers and technology vendors.
• Ensure the integrity and security of all performance data.
• Present findings and recommendations clearly and effectively to both technical and non-technical audiences.

• Master's or PhD in Statistics, Data Science, Sports Science, Biomechanics, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a related analytical role.
• Proven experience with statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports science principles and performance metrics.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex findings effectively to diverse stakeholders.
• Experience working in a hybrid or remote team environment.
• Knowledge of data collection technologies used in sports is a plus.
• Passion for sports and a commitment to enhancing athletic performance through data.

• Lead the development and execution of comprehensive data analytics strategies for sports performance, fan behavior, and market trends.
• Oversee the collection, cleaning, and interpretation of large datasets from diverse sources, including player tracking data, fan surveys, and social media analytics.
• Build and maintain sophisticated statistical models to predict game outcomes, identify talent, and optimize training regimens.
• Collaborate closely with coaches, performance staff, and marketing teams to translate analytical insights into actionable recommendations.
• Develop and present compelling reports and visualizations to senior management, highlighting key findings and strategic implications.
• Mentor and guide a team of junior analysts, fostering a culture of continuous learning and innovation.
• Stay abreast of the latest advancements in sports analytics, data science tools, and relevant technologies.
• Ensure data integrity and develop robust data governance practices.
• Contribute to the overall strategic planning and goal-setting for the sports division.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in sports analytics, with at least 3 years in a leadership or management role.
• Proficiency in statistical programming languages such as R, Python, or similar.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various statistical and machine learning techniques.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Proven ability to manage multiple projects simultaneously and deliver results under pressure.
• Passion for sports and a solid understanding of sports dynamics and performance metrics.
• Experience with sports-specific data platforms is a plus.
• Familiarity with database management and SQL.

• Collect, analyze, and interpret agricultural data related to crop growth, soil conditions, and environmental factors.
• Develop and implement data-driven strategies for optimizing crop yields and farm productivity.
• Evaluate the effectiveness of different fertilizers, pesticides, and irrigation methods.
• Identify and diagnose plant diseases, pest infestations, and nutrient deficiencies.
• Prepare detailed reports and presentations on findings and recommendations.
• Collaborate with research teams on experimental design and data collection.
• Stay current with advancements in agronomy, agricultural technology, and data analysis.
• Conduct on-site assessments and provide practical guidance to farmers when required.

• Bachelor's or Master's degree in Agronomy, Agricultural Science, or a related field.
• Minimum of 3 years of experience in agronomy or agricultural research.
• Proficiency in data analysis software (e.g., R, Python, SPSS) and statistical methods.
• Knowledge of soil science, plant physiology, and crop management practices.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Ability to work independently and manage time effectively in a hybrid environment.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform exploratory data analysis and create data visualizations to identify trends and patterns.
• Support the development of dashboards and reports using data visualization tools.
• Help in statistical analysis and interpretation of data sets.
• Collaborate with senior analysts to understand project requirements and deliverables.
• Learn and apply programming languages such as Python or R for data manipulation and analysis.
• Contribute to data quality checks and ensure data integrity.
• Assist in the documentation of data analysis processes and methodologies.
• Participate in team meetings and contribute ideas for improving data processes.
• Undergo continuous learning and training in data analysis techniques and tools.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts.
• Exposure to data analysis tools or programming languages (e.g., Excel, SQL, Python, R) is a plus.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Demonstrated interest in data analysis or a related field.