What Jobs are available for Director Of Analytics in Delhi?

• Develop and implement a comprehensive sports analytics strategy to support team performance, player scouting, and business operations.
• Lead and mentor a team of sports analysts, data scientists, and researchers.
• Oversee the collection, cleaning, and analysis of vast datasets related to player performance, game statistics, and opposition analysis.
• Develop predictive models for player performance, injury risk, and game outcomes.
• Collaborate closely with coaching staff to provide data-driven insights for game planning and strategy.
• Work with the performance science team to identify training and development opportunities based on analytical findings.
• Analyze fan engagement data to inform marketing, ticketing, and sponsorship strategies.
• Present complex analytical findings and strategic recommendations to executive leadership, coaches, and players in a clear and compelling manner.
• Stay abreast of the latest advancements in sports analytics, data science techniques, and relevant technologies.
• Manage relationships with external data providers and technology partners.
• Champion a data-driven culture throughout the organization.
• Ensure the ethical and secure use of sensitive player and team data.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in sports analytics, with a proven track record of delivering impactful insights in a professional sports environment.
• Extensive experience with statistical modeling, machine learning, and data visualization techniques.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Strong understanding of sports-specific metrics and performance indicators.
• Experience managing and mentoring analytical teams.
• Excellent communication, presentation, and interpersonal skills.
• Ability to translate complex technical concepts into actionable business insights.
• Strong project management skills and the ability to manage multiple initiatives simultaneously.
• Passion for sports and a deep understanding of the dynamics of athletic competition.

• Lead the design and execution of sophisticated data analysis projects across various sports disciplines.
• Develop predictive models for player performance, game outcomes, and injury prevention.
• Collaborate closely with coaching staff, scouts, and performance teams to integrate data insights into strategic decision-making.
• Oversee the collection, cleaning, and management of large datasets from multiple sources, including in-game tracking, player statistics, and scouting reports.
• Identify key performance indicators (KPIs) and develop dashboards and reporting tools for real-time monitoring.
• Stay abreast of the latest trends and advancements in sports analytics, machine learning, and data visualization.
• Manage and mentor a team of data analysts and scientists, fostering a culture of innovation and continuous learning.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
• Develop strategies for talent identification and player recruitment based on data analytics.
• Explore opportunities for optimizing team operations, training regimens, and strategic planning through data.
• Ensure data integrity, security, and privacy across all analytical platforms.
• Contribute to the overall strategic vision of the organization by leveraging data to gain a competitive edge.

About noon

noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. noon is a work in progress; we’re six years in, but only 5% done.

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.At noon, we’re building one of the most data-driven organizations in the region. As the Senior Manager, Data Analytics, you will play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics (“Fugistics”). You’ll lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale. You’ll be responsible not only for building advanced analytical models and insights but also for setting the vision and roadmap for data analytics in Fugistics. This role requires a unique blend of technical expertise, business acumen, and leadership skills.

Key Responsibilities:

• Own the end to end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfilment and logistics teams.
• Collaborate with demand planning, warehouse and logistics teams to ensure adequate capacity is there to fulfill the monthly plan and ensure timely shipping and on-time deliveries.
• Lead seasonal and promotional event planning including inventory build-up strategies, temporary storage solutions, manpower planning by partnering with cross functional teams to ensure seamless execution.
• Monitor Key performance indicators including daily attainment, capacity utilization, promise quality etc.
• Lead, mentor, and grow a high-performing team of Planners and Analysts and drive continuous process improvements across planning processes.
• Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.
• Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
• Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
• Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
• Champion automation and self-service tools to empower teams and reduce manual reporting.
• Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.

What you’ll need:

• 8+ years of experience in Data Analytics, Business Intelligence, or Strategic Analytics, with at least 3 years in a leadership role.
• Strong background in e-commerce, supply chain, fulfillment, or logistics.
• Proven track record of leading cross-functional analytics projects that drive measurable business impact.
• Deep expertise in SQL, BigQuery, and modern data analytics tools.
• Proficiency in data visualization platforms (Google Data Studio, Power BI, Tableau).
• Strong statistical foundation and experience with forecasting, predictive modeling, regression, clustering, classification techniques.
• Knowledge of programming languages such as Python or R (preferred).
• Bachelor’s or Master’s degree in Engineering, Data Science, Business Analytics, Statistics, or related field.
• Strong leadership qualities: ability to inspire, coach, and build high-performing teams.

Who will excel?

• We’re looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Support the development and execution of data analysis plans.
• Perform statistical analysis and interpret data to identify trends and patterns.
• Create compelling data visualizations and reports to communicate findings.
• Learn and apply various data modeling techniques.
• Collaborate with team members on data-driven projects.
• Participate in training sessions and workshops to enhance technical skills.
• Document data processes and methodologies.
• Contribute to brainstorming sessions for new analytical approaches.
• Assist in the validation of data integrity and accuracy.
• Adhere to all company policies and procedures, including data security protocols.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with programming languages like Python or R is a plus.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and a strong desire to develop expertise in data analytics.
• Attention to detail and commitment to producing high-quality work.
• Proactive and takes initiative to understand and contribute to projects.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing to ensure data quality and consistency.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development of reports and dashboards to visualize data insights.
• Learn and apply statistical methods and machine learning techniques.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Contribute to data storytelling and presenting findings to stakeholders.
• Gain proficiency in data analysis tools and programming languages such as Python, R, and SQL.
• Participate in training sessions and workshops to enhance analytical skills.
• Adhere to data privacy and security policies.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong academic record with a demonstrated interest in data analysis.
• Basic understanding of statistical concepts and analytical techniques.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and a strong desire to contribute to team goals.
• Must be eligible to work in India.

• Assist in data collection, cleaning, and preparation processes.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain data visualizations and dashboards.
• Support the creation of analytical reports and presentations.
• Collaborate with business stakeholders to understand data requirements.
• Learn and apply various data analysis techniques and tools.
• Contribute to data quality initiatives.
• Assist in the testing and validation of analytical models.
• Participate in team meetings and knowledge-sharing sessions.
• Adhere to data governance and security policies.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Basic knowledge of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) or programming languages for data analysis (e.g., R, Python) is a plus.
• Excellent communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work collaboratively in a team environment.
• Detail-oriented and organized.

• Acquire, process, and analyze geospatial data from satellite, aerial, and ground-based sensors for agricultural applications.
• Develop and implement algorithms for crop health monitoring, yield prediction, and stress detection using remote sensing techniques.
• Utilize GIS software (e.g., ArcGIS, QGIS) for data visualization, spatial analysis, and map creation.
• Apply statistical methods and machine learning techniques to interpret large agricultural datasets.
• Collaborate with field agronomists to ground-truth remote sensing data and validate models.
• Develop data-driven recommendations for precision agriculture practices, including irrigation, fertilization, and pest management.
• Communicate complex analytical findings and insights to stakeholders, including technical and non-technical audiences.
• Stay abreast of advancements in remote sensing technology, agricultural data analytics, and relevant software.
• Contribute to the design and implementation of data management systems for agricultural projects.
• Ensure data quality and integrity throughout the analysis pipeline.
• Prepare reports, presentations, and publications summarizing research findings and project outcomes.

• Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Agricultural Engineering, or a related field with a strong focus on data analysis.
• Minimum of 6 years of experience in applying remote sensing and data analytics to agriculture.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing image processing tools (e.g., ENVI, ERDAS Imagine).
• Strong programming skills in Python or R for data analysis and modeling.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with agricultural data standards and formats.
• Excellent understanding of crop physiology, soil science, and agronomic principles.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Strong communication and presentation skills.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.