If you’re as excited as we are about the power of data to transform businesses and build asuperlative user experience, we have a role for you! We are a team of tinkerers, builders, and dreamers working together toward the mission of making car ownership accessible, simple, anddelightful. In this role, you will work closely with the product managers, marketing and engineering teams, and other business stakeholders to help build and improve products for our customers.employees, or partners using insights from data. Job location: Sector 48, GurgaonWork from office: at least 3 days a week To apply for this role, you must have1. Experience in data mining skills such as SQL, Python, and Excel2. Exposure to website analytics tools like Google Analytics or Adobe Analytics and clickstream/hit-level data.3. Basic understanding of statistics such as hypothesis testing and frequentist/Bayesian statistics.4. You should be able to generate insights and hypotheses from data and use them to drive business outcomes.5. The ability to work collaboratively, build relationships, and communicate effectively with stakeholders is crucial for this role. Work experience and educational qualifications:1. A minimum of 1 year of relevant experience in the analytics field, including experience in hypothesis testing/statistics and product or digital analytics, is preferred.2. Having advanced analytics skills such as statistical models, machine learning, Markov chains, market basket analysis, etc. would be advantageous.3. The candidate must be able to grasp the business and product decision-making processes and provide analytics that align with business and product objectives.4. The educational qualifications required for this role include a bachelor's or master's degree in engineering or economics from Tier 1 or Tier 2 colleges. Technical and analytical capabilities:<ol><li>Ability to think critically and logically</li><li>Synthesize recommendations from data and communicate ideas succinctly</li></ol>

Product AnalyticsTBO–(www.tbo.com)TBO is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale.The TBO journey began in 2006 with a simple goal – to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific.Today, TBO’s product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI/ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions.TBO’s approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBO’s travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies.Why TBO: • You will influence & contribute to “Building World Largest Technology Led Travel Distribution Network” for a $ 9 Trillion global travel business market.• We are the emerging leaders in technology led end-to-end travel management, in the B2B space.• Physical Presence in 47 countries with business in 110 countries.• We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer.• An open & informal start-up environment which cares. What TBO offers to a Life Traveller in You: • Enhance Your Leadership Acumen. Join the journey to create global scale and ‘World Best’.• Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination.• Post pandemic: travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey.• As a fastest growing B2B platform our priority is purpose-building scalable systems.• Adopting industry leading technologies to support best-in-class business capabilities for high performing and scalable solutions.• Fast response to the evolving regulatory environment and helping to meet the firm's regulatory commitments by addressing internal and external commitments. Top Sights During Your Role Stay (Key Expectations): As the Product Analytics Manager, you will play a pivotal role in driving data-driven decision-making and optimizing our product offerings. You will be responsible for providing deep insights into customer journeys, product metrics, KPIs, and product funnels to enhance the overall product performance. This position requires exceptional analytical skills, leadership abilities, and the capacity to collaborate with various teams, including product managers and data science/engineering teams. Key Responsibilities:<ol><li>Product Data Analysis: Conduct thorough analysis of product data to identify trends, patterns, and areas of improvement. Utilize data-driven insights to support product development decisions and guide strategic planning.</li><li>Customer Journey Mapping: Collaborate with product managers to map and understand the customer journey throughout the product lifecycle. Identify pain points, opportunities, and areas for enhancement to enhance customer experience.</li><li>KPI Development and Monitoring: Work closely with stakeholders to define key performance indicators (KPIs) aligned with business objectives. Monitor and report on KPIs regularly to measure product success and identify areas requiring attention.</li><li>Product Funnels and User Behaviour: Analyse user behaviour data and construct product funnels to comprehend user interactions, drop-off points, and conversion rates. Propose strategies to optimize user engagement and retention.</li><li>Cross-Functional Collaboration: Partner with product managers, data science teams, and engineering to gather, validate, and integrate data from multiple sources. Ensure data accuracy and completeness to support informed decision-making.</li><li>Data Infrastructure Setup: Collaborate with data engineering teams to set up appropriate data collection mechanisms, event tracking, and dashboards to facilitate timely and accurate data analysis.</li><li>Data Visualization and Reporting: Create clear and compelling visualizations, dashboards, and reports to communicate analytical findings effectively to different stakeholders.</li><li>Leadership and Mentorship: Lead and mentor a team of product analysts to build a strong analytical foundation and foster a data-driven culture within the product team.</li><li>A/B Testing and Experimentation: Collaborate with product managers to design A/B tests and experiments to measure the impact of product changes and iterate based on test outcomes.</li></ol> Key Skill Requirements:<ol><li>Analytical Expertise: Proven experience in conducting data analysis, interpreting complex datasets, and drawing actionable insights. Proficiency in data querying, visualization, and statistical analysis tools (e.g., SQL, Python, R, Tableau, Power BI). Familiarity with Product Analytics tool like Amplitude, Hotjar etc.</li><li>Product Knowledge: Strong understanding of product development lifecycles, customer-centric design principles, and experience with B2B software products or travel tech marketplaces.</li><li>Data-driven Decision Making: Demonstrated ability to leverage data to drive strategic decision-making, optimize product features, and prioritize initiatives that deliver business value.</li><li>Leadership and Collaboration: Excellent leadership skills with the ability to collaborate effectively with cross-functional teams, product managers, data scientists, and engineering teams.</li><li>Technical Acumen: Familiarity with data engineering concepts, event tracking, data pipelines, and database structures to ensure data accuracy and integrity.</li><li>Communication Skills: Exceptional communication and presentation skills to convey complex analytical findings to both technical and non-technical stakeholders.</li><li>Problem Solving: Strong problem-solving and critical-thinking skills, with the ability to identify challenges and propose data-driven solutions.</li><li>Adaptability: Comfortable working in a fast-paced and dynamic environment, adapting to changing priorities, and meeting tight deadlines.</li></ol> As the Product Analytics Manager, you will be at the forefront of driving data-centric decision-making, empowering the product team to make informed choices, and delivering exceptional user experiences for our B2B travel tech marketplace.

Job DetailsSuccessful candidate will play a pivotal role in improving product with data - backed decision making.Job Duties - Main tasks include proper reporting of KPIs, Deriving meaningful and actionable insights from Data, working with cross functional teams to deliver better quality Products. Responsibilities -<ul><li> Timely Reporting of Crucial KPIs on urgent priority</li><li> Identifying New KPIs based on impact, it can have on overall analysis</li><li> Gather Data from various sources, work on maintaining Data Sanity, and communicating critical insights to concerned teams.</li><li> Have an ability to work in a cross functional team environment</li><li> Work with management to prioritize business and information needs</li></ul>Requirements and skills - <ul><li>Application specific product experience is a must.</li><li>Proven Experience working as Data Analyst/ Business Analyst/ Product Analyst</li><li>Have used GA or Appmetrica or Mixpanel or similar solutions</li><li>Knowledge about events / funnels / user journeys & other product metrics.</li><li>Strong sense of Data interpretation with keen interest in product development</li><li>Previous Experience with Firebase, Google Analytics is Mandatory</li><li>Previous Experience with SQL, Python, is a plus</li><li>Have an ability to adapt to new Data ETL tools</li><li>Understanding of subscription model in Apps.</li></ul>

About us:At its heart, Probo is an opinion trading platform building prediction markets for India. On Probo, users can find questions on many topics of their interest, like sports, news, finance and many more. Users can swipe yes or no to express their opinion and place trade(s), and by doing so they enter into an event contract with another user on the other side of the trade. Probo is a matching engine that enables the execution of this event contract. Each trade is INR 10, and at the end of the event contract, the user with the correct opinion wins the quantum at stake.We are also backed by Backed by 3 marquee investors- Sequoia, Elevation and Fundamentum. About the role:We are looking for a Product Analyst with a strong background in Python, SQL, dashboarding, and statistics. In this role, you will analyze and interpret data to drive product decisions that enhance user engagement and business growth. You will work closely with our product, engineering, and marketing teams to ensure that our products are backed by data-driven insights, helping to shape the future of our platform. Key Responsibilities: Data Analysis & Interpretation:<ul><li>Utilize Python and SQL to collect, clean, and analyze data from various sources, providing deep insights into user behaviour and product performance.</li><li>Develop and maintain dashboards using tools like Tableau or Power BI to monitor key product metrics and trends.</li><li>Apply statistical methods to identify patterns and trends that influence product strategy and decision-making.</li></ul>Product Performance Tracking:<ul><li>Monitor and analyze product performance metrics such as user engagement, retention, and revenue, providing actionable insights to optimize the product.</li><li>Conduct A/B testing, interpret the results, and provide recommendations for product enhancements.</li><li>Collaborate with the product team to improve features and user experiences based on data insights.</li></ul>Collaboration & Communication:<ul><li>Work closely with cross-functional teams, including product managers, engineers, and designers, to translate data insights into actionable product requirements.</li><li>Present complex data and statistical findings in a clear and compelling manner to stakeholders at all levels.</li><li>Assist in prioritizing product development initiatives based on data-driven insights and statistical analysis.</li></ul>Product Strategy Support:<ul><li>Support the development of product roadmaps by providing data-driven insights and forecasting future trends.</li><li>Define and track key performance indicators (KPIs) using automated dashboards, ensuring alignment with business goals.</li></ul> Qualifications:<ul><li>Bachelor’s degree in Business, Economics, Statistics, Computer Science, or a related field.</li><li>3-4 years of experience in product analysis, data analysis, or a similar role.</li><li>Proficiency in Python for data analysis and modelling, including libraries like pandas, numpy, and scikit-learn.</li><li>Strong SQL skills for querying large datasets and performing complex analyses.</li><li>Experience in creating and managing dashboards with tools such as Tableau, Power BI, or similar.</li><li>Solid understanding of statistical concepts, including regression analysis, hypothesis testing, and probability.</li><li>Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.</li><li>Experience with A/B testing, market research, and competitive analysis.</li><li>Ability to work effectively in a fast-paced, collaborative environment.</li></ul> Why You Should Join Us: At Probo, we're not just building a platform—we're crafting the future of opinion trading in India with the smartest tech, product, and design minds in the industry. Our office is where innovation meets energy, driven by a young, dynamic team that has already scaled the company to incredible heights. You'll be surrounded by brilliant, like-minded individuals who live for collaboration and thrive on turning data into game-changing strategies. If you're ready to bring your A-game and be part of a team that's making waves in the tech world, Probo is the place for you.

At OLX, we work together to build a more sustainable world through trade.We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more.We are seeking a highly motivated and detail-oriented Senior Product Analyst to join our dynamic team. The ideal candidate will have a strong analytical mindset, excellent communication skills, and a passion for driving data-driven decision-making in the product development process. As a Product Analyst, you will play a crucial role in gathering and analyzing data to provide insights that inform product strategy, enhance user experience, and contribute to the overall success of our products. What You’ll do : ● Analyze large datasets to extract meaningful insights and trends related to user behavior, product performance, and market dynamics.● Develop and maintain key performance indicators (KPIs) to measure product success and user engagement.● Develop and execute A/B testing and other experiments to measure the impact of product changes.Collaboration:● Collaborate with cross-functional teams, including product management, engineering, marketing, and customer support, to ensure alignment on product goals and strategies. Who are we looking for? ● Bachelor’s degree in a related field (e.g., Business, Statistics, Computer Science) or equivalent work experience.● 4+ years experience in business analytics experience● B. Tech/ M. Tech from a premier institute (IIT/NIT/BITS )● Proven experience as a Product Analyst or in a similar role, with a track record of successfully influencing product decisions through data analysis.● Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R) and experience with tools (e.g., GA, Clevertap & Tableau).● Excellent communication and presentation skills with the ability to convey complex data findings to both technical and non-technical stakeholders.● Familiarity with product management methodologies and a deep understanding of the product development lifecycle.● Detail-oriented with a strong analytical mindset and problem-solving skills.● Ability to thrive in a fast-paced, collaborative environment. What We'll give you ● An opportunity to shape a largely unorganised industry and help millions of car buyers and sellers transact with trust and efficiency. ● Passionate team and leadership colleagues who will share the dream and drive to deliver the most trusted, convenient and innovative car buying and selling experiences. ● Opportunities to speed up your learning and development across your role relevant areas . At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.

About Us: Airtel is a leading telecom solutions provider in the country with over 350m subscribers. Our endeavour to keep building a value chain for our customers gives us various problem statements to solve for. We as an Organization strongly believe in data driven decision making and thrive on solving complex business problems with Analytics & Data Science. This role will be leading analytics for a pod. You will be expected to drive data driven decision making with senior management, own metrics for a pod. We are committed to data-driven decision-making, innovation, and solving complex problems. We are seeking an experienced Senior Product Analyst to join our team, leading analytics at the highest level within the organization, driving efficiency, and delivering impactful insights. Job Description: This position requires a candidate with a profound understanding of the telecom industry, coupled with the ability to lead high-performing teams. The ideal candidate should possess a strong analytical mindset, excel in data-driven decision-making, and thrive in solving complex problems. Key Responsibilities: 1. **Deep Understanding of Telecom Business:** - Develop and maintain an in-depth understanding of the telecom business, staying abreast of industry trends and dynamics. 2. **Team Management:** - Lead and manage high-performing teams, demonstrating the ability to identify and nurture talent within the industry. - Motivate teams to collaborate effectively and achieve common goals. 3. **Cross-Functional Alignment:** - Align teams across different verticals, such as business and marketing, towards common solutions. - Collaborate with cross-functional teams to define problem statements, build hypotheses, collect data, and develop analytics models. 4. **Urgency and Problem-Solving:** - Demonstrate a sense of urgency and the ability to dive deep into problem statements. - Lead the identification of opportunity areas with a high level of confidence. 5. **Metric Definition and Ownership:** - Set and define metrics for the business, taking end-to-end ownership of the analytics process. - Conduct A/B testing and build hypotheses to drive data-driven decision-making. 6. **Collaboration with Product and Implementation:** - Collaborate with the Product team for data tracking and implementation of tools like Clickstream, Google Analytics, Branch, and Moengage. 7. **Representation at the Highest Level:** - Represent analytics at the highest levels of the company, providing strategic insights and solutions during times of chaos. 8. **Leadership and Efficiency:** - Lead analytics for multiple lines of business. - Structure real-time conversations and forward-thinking to identify areas for driving efficiency. - Build roadmaps and drive execution of team objectives. 9. Data-Driven Decision Making: Drive data-driven decisions by setting and defining key metrics for the business and taking end-to-end ownership of data-driven insights. 10. Hypothesis Testing: Create and test hypotheses to uncover opportunities and measure their impact, all while ensuring high confidence levels in your findings. Qualifications: Minimum 10 years of experience in core analytics, with a strong background in SQL, Python, Airflow, Tableau, and other analytics tools. Data Expertise: Proficiency in working with large datasets, data structures, ETL pipelines, and feature modeling. Data Visualization: Excellent data visualization skills to effectively communicate complex insights to a broader audience. Problem Solving: Strong problem-solving skills and the ability to engage senior management with data-driven insights. Leadership: Proven ability to lead a team of analysts, fostering collaboration, and driving success. Communication: Effective communication skills, including the ability to work across multiple teams and engage with stakeholders at all levels. Forward Thinking: Ability to identify opportunities for efficiency and growth, building roadmaps and executing strategic plans.

About Us: Airtel is a leading telecom solutions provider in the country with over 350m subscribers. Our endeavour to keep building a value chain for our customers gives us various problem statements to solve for. We as an Organization strongly believe in data driven decision making and thrive on solving complex business problems with Analytics & Data Science. This role will be leading analytics for a pod. You will be expected to drive data driven decision making with senior management, own metrics for a pod. We are committed to data-driven decision-making, innovation, and solving complex problems. We are seeking an experienced Senior Product Analyst to join our team, leading analytics at the highest level within the organization, driving efficiency, and delivering impactful insights. Principal Data Analyst -Job Description: This position requires a candidate with a profound understanding of the telecom industry, coupled with the ability to lead high-performing teams. The ideal candidate should possess a strong analytical mindset, excel in data-driven decision-making, and thrive in solving complex problems. Key Responsibilities: 1. **Deep Understanding of Telecom Business:** - Develop and maintain an in-depth understanding of the telecom business, staying abreast of industry trends and dynamics. 2. **Team Management:** - Lead and manage high-performing teams, demonstrating the ability to identify and nurture talent within the industry. - Motivate teams to collaborate effectively and achieve common goals. 3. **Cross-Functional Alignment:** - Align teams across different verticals, such as business and marketing, towards common solutions. - Collaborate with cross-functional teams to define problem statements, build hypotheses, collect data, and develop analytics models. 4. **Urgency and Problem-Solving:** - Demonstrate a sense of urgency and the ability to dive deep into problem statements. - Lead the identification of opportunity areas with a high level of confidence. 5. **Metric Definition and Ownership:** - Set and define metrics for the business, taking end-to-end ownership of the analytics process. - Conduct A/B testing and build hypotheses to drive data-driven decision-making. 6. **Collaboration with Product and Implementation:** - Collaborate with the Product team for data tracking and implementation of tools like Clickstream, Google Analytics, Branch, and Moengage. 7. **Representation at the Highest Level:** - Represent analytics at the highest levels of the company, providing strategic insights and solutions during times of chaos. 8. **Leadership and Efficiency:** - Lead analytics for multiple lines of business. - Structure real-time conversations and forward-thinking to identify areas for driving efficiency. - Build roadmaps and drive execution of team objectives. 9. Data-Driven Decision Making: Drive data-driven decisions by setting and defining key metrics for the business and taking end-to-end ownership of data-driven insights. 10. Hypothesis Testing: Create and test hypotheses to uncover opportunities and measure their impact, all while ensuring high confidence levels in your findings. Qualifications: Minimum 10 years of experience in core analytics, with a strong background in SQL, Python, Airflow, Tableau, and other analytics tools. Data Expertise: Proficiency in working with large datasets, data structures, ETL pipelines, and feature modeling. Data Visualization: Excellent data visualization skills to effectively communicate complex insights to a broader audience. Problem Solving: Strong problem-solving skills and the ability to engage senior management with data-driven insights. Leadership: Proven ability to lead a team of analysts, fostering collaboration, and driving success. Communication: Effective communication skills, including the ability to work across multiple teams and engage with stakeholders at all levels. <ul><li>Forward Thinking: Ability to identify opportunities for efficiency and growth, building roadmaps and executing strategic plans.</li></ul>

Associate Director Product AnalyticsTBO–(www.tbo.com)TBO is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale.The TBO journey began in 2006 with a simple goal – to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific.Today, TBO’s product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI/ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions.TBO’s approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBO’s travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies.Why TBO: • You will influence & contribute to “Building World Largest Technology Led Travel Distribution Network” for a $ 9 Trillion global travel business market.• We are the emerging leaders in technology led end-to-end travel management, in the B2B space.• Physical Presence in 47 countries with business in 110 countries.• We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer.• An open & informal start-up environment which cares. What TBO offers to a Life Traveller in You: • Enhance Your Leadership Acumen. Join the journey to create global scale and ‘World Best’.• Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination.• Post pandemic: travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey.• As a fastest growing B2B platform our priority is purpose-building scalable systems.• Adopting industry leading technologies to support best-in-class business capabilities for high performing and scalable solutions.• Fast response to the evolving regulatory environment and helping to meet the firm's regulatory commitments by addressing internal and external commitments. Top Sights During Your Role Stay (Key Expectations): As the Product Analytics Manager, you will play a pivotal role in driving data-driven decision-making and optimizing our product offerings. You will be responsible for providing deep insights into customer journeys, product metrics, KPIs, and product funnels to enhance the overall product performance. This position requires exceptional analytical skills, leadership abilities, and the capacity to collaborate with various teams, including product managers and data science/engineering teams. Key Responsibilities:<ol><li>Product Data Analysis: Conduct thorough analysis of product data to identify trends, patterns, and areas of improvement. Utilize data-driven insights to support product development decisions and guide strategic planning.</li><li>Customer Journey Mapping: Collaborate with product managers to map and understand the customer journey throughout the product lifecycle. Identify pain points, opportunities, and areas for enhancement to enhance customer experience.</li><li>KPI Development and Monitoring: Work closely with stakeholders to define key performance indicators (KPIs) aligned with business objectives. Monitor and report on KPIs regularly to measure product success and identify areas requiring attention.</li><li>Product Funnels and User Behaviour: Analyse user behaviour data and construct product funnels to comprehend user interactions, drop-off points, and conversion rates. Propose strategies to optimize user engagement and retention.</li><li>Cross-Functional Collaboration: Partner with product managers, data science teams, and engineering to gather, validate, and integrate data from multiple sources. Ensure data accuracy and completeness to support informed decision-making.</li><li>Data Infrastructure Setup: Collaborate with data engineering teams to set up appropriate data collection mechanisms, event tracking, and dashboards to facilitate timely and accurate data analysis.</li><li>Data Visualization and Reporting: Create clear and compelling visualizations, dashboards, and reports to communicate analytical findings effectively to different stakeholders.</li><li>Leadership and Mentorship: Lead and mentor a team of product analysts to build a strong analytical foundation and foster a data-driven culture within the product team.</li><li>A/B Testing and Experimentation: Collaborate with product managers to design A/B tests and experiments to measure the impact of product changes and iterate based on test outcomes.</li></ol> Key Skill Requirements:<ol><li>Analytical Expertise: Proven experience in conducting data analysis, interpreting complex datasets, and drawing actionable insights. Proficiency in data querying, visualization, and statistical analysis tools (e.g., SQL, Python, R, Tableau, Power BI). Familiarity with Product Analytics tool like Amplitude, Hotjar etc.</li><li>Product Knowledge: Strong understanding of product development lifecycles, customer-centric design principles, and experience with B2B software products or travel tech marketplaces.</li><li>Data-driven Decision Making: Demonstrated ability to leverage data to drive strategic decision-making, optimize product features, and prioritize initiatives that deliver business value.</li><li>Leadership and Collaboration: Excellent leadership skills with the ability to collaborate effectively with cross-functional teams, product managers, data scientists, and engineering teams.</li><li>Technical Acumen: Familiarity with data engineering concepts, event tracking, data pipelines, and database structures to ensure data accuracy and integrity.</li><li>Communication Skills: Exceptional communication and presentation skills to convey complex analytical findings to both technical and non-technical stakeholders.</li><li>Problem Solving: Strong problem-solving and critical-thinking skills, with the ability to identify challenges and propose data-driven solutions.</li><li>Adaptability: Comfortable working in a fast-paced and dynamic environment, adapting to changing priorities, and meeting tight deadlines.</li></ol> As the Product Analytics Manager, you will be at the forefront of driving data-centric decision-making, empowering the product team to make informed choices, and delivering exceptional user experiences for our B2B travel tech marketplace.

At Airtel Digital, we are transforming from a telecom giant to a digital force and changing how people consume entertainment, how companies manage their assets to how cities use energy.. Today, our work goes beyond telecom -- we build products that entertain and inform, connect devices to the internet, and enable businesses to securely harness the power of their data. With a remarkable team of talent led by eminent industry leaders, our goal is to expand our people power and deliver solutions that truly enrich the lives of our customers. There could not be a better time to join us and be a part of this incredible journey… Product Analyst - Airtel <ul><li>Develop an In-depth understanding of user journeys on Airtel Digital Platforms and generate data driven insights & recommendations to help product business in meticulous decision-making.</li><li>End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.</li><li>Develop strong hypothesis, execute A/B experiments, identify area of opportunities, and is able to articulate data to a diverse set of audience.</li><li>Work cross-functionally to define problem statements, collect data, build logics to create appropriate variables to be analyzed, build analytical models and make recommendations</li><li>Identify and implement streamlined processes for data reporting, dash boarding and communication</li><li>Collaborate with Product for data tracking and implementation of tools like SQL, Python, and Tableau.</li><li>Proactively look for opportunities to increase efficiencies through automation wherever applicable and follow best practices with respect to coding standards</li><li>Demonstrate self-driven initiatives to learn new techniques.</li></ul> Key Competencies <ul><li>2+ Years of experience in core business analytics/product analytics.</li><li>Excellent understanding of SQL, Python.</li><li>Logical and Structured thinking, Business acumen and strong problem-solving skills. Should be able to engage senior management with data.</li><li>High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.</li><li>Experience of working with a Fintech is preferred.</li></ul> Preferred Qualifications: Background Engineering /Statistics/Operational Research

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