What Jobs are available for Analytics in Delhi?

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

• Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
• Minimum of 3 years of experience in sports analytics or a related field.
• Strong proficiency in statistical programming languages such as R, Python, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of one or more major sports (e.g., Cricket, Football, Basketball).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience with sports-specific data sets and performance metrics.
• Ability to work independently and manage multiple projects simultaneously.
• Passion for sports and a desire to drive performance through data.

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.

• Collecting, cleaning, and transforming raw data from various sources to prepare it for analysis.
• Designing, developing, and validating predictive models using statistical and machine learning techniques (e.g., regression, classification, clustering, time series forecasting).
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Evaluating model performance and iteratively improving accuracy and robustness.
• Deploying models into production environments and establishing monitoring systems to track performance.
• Communicating complex findings and insights clearly to technical and non-technical stakeholders through reports and visualizations.
• Collaborating with engineering teams to integrate models into existing systems and applications.
• Staying abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contributing to the development of data governance and best practices within the organization.
• Mentoring junior data analysts and contributing to a data-driven culture.

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Proven experience (3+ years) in data science and building predictive models.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Experience with SQL and database management.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work effectively in a hybrid team environment.