product analytics manager

Thawani Pay

<div>
 
 
 Role Purpose
 
 
 
 Bridge data and design by owning behavioural analytics and UX insights. This role &ldquo;lives&rdquo; in Mixpanel / equivalent to this tool and session tools (Hotjar/Clarity), turning user and merchant behaviour into concrete UX hypotheses, A/B tests, and prioritised recommendations that reduce friction, boost activation, and grow TPV across all Thawani products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Behavioural Analytics Ownership
 
 
 <ul>
 <li>
 Own the configuration and usage of Mixpanel (or equivalent):
 </li>
 <li>
 Event taxonomy and naming
 </li>
 <li>
 Funnels across key journeys (onboarding, KYC, funding, payments, remittance, Sama, Athar, merchant flows)
 </li>
 <li>
 Cohorts, retention charts, and usage patterns.
 </li>
 <li>
 Own session analytics tools (Hotjar / Clarity):
 </li>
 <li>
 Heatmaps, scroll maps, and session recordings
 </li>
 <li>
 Journey visualisation to detect friction, confusion, or bugs.
 </li>
 </ul>
 
 
 Insights, Hypotheses &amp; Experimentation
 
 
 <ul>
 <li>
 Identify UX and product friction points and opportunities across:
 </li>
 <li>
 Thawani Pay app (consumer side)
 </li>
 <li>
 Mojab card &amp; Mojab Go usage
 </li>
 <li>
 Merchant solutions (Tajer, Merchant Portal, Payment Gateway, Payment Link).
 </li>
 <li>
 Turn findings into clear UX hypotheses and problem statements, with quantified impact potential.
 </li>
 <li>
 Partner with UI &amp; UX Manager and Product to design and run A/B or multivariate tests; track test metrics and draw statistically sound conclusions.
 </li>
 </ul>
 
 
 Reporting &amp; Communication
 
 
 <ul>
 <li>
 Produce regular &ldquo;UX &amp; Behaviour Insights&rdquo; reports summarising:
 </li>
 <li>
 Key trends, issues, and quick wins
 </li>
 <li>
 Experiments results and learnings
 </li>
 <li>
 Recommendations for backlog priorities.
 </li>
 <li>
 Collaborate closely with the Senior Growth &amp; Product Data Analyst to ensure UX findings are reflected in broader KPI and board-level narratives.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 6&ndash;10+ years in Product Analytics, UX Research, or Growth roles, preferably in FinTech, payments, or consumer apps.
 </li>
 <li>
 Hands-on experience with Mixpanel (or similar product analytics), Hotjar / Clarity, GA4/Firebase, and experimentation tools.
 </li>
 <li>
 Strong analytical skills; SQL and comfort with querying the data warehouse are a plus.
 </li>
 <li>
 Proven ability to turn behavioural data into UX and product changes with measurable impact.
 </li>
 <li>
 Excellent communication skills; able to translate complex behavioural patterns into simple stories and priorities for designers, product managers, and leadership.
 </li>
 </ul>
 
 
 
</div>

Product Analytics & UX Insights Manager

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of experience with a Master's degree).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>Experience in product analytics within payments, e-commerce, or financial services.</li>
<li>Ability to manage and organize work sprints for themselves and a team of analysts.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

As the key analyst on Forms of Payments (FOPs) and Business-to-Consumer (B2C) analytics, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of Payments that focuses on acquiring the usage of nearly one billion users with FOPs across all Google Surfaces. You will drive analytics for FOPs launches globally, improving cards and non cards types, driving transaction performance, capturing the Quality and Value from FOPd users, as well as managing FOPs Risk and Compliance. You will also play an important role in our interactions on B2C analytics with Play and You Tube to improve Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Shape the future of Google Payments by leveraging data and analytics to drive decisions, influence strategy, and create business impact across the organization.</li>
<li>Identify and solve ambiguous problems, transforming data into insights that influence leadership decisions.</li>
<li>Lead projects that align with the organizational strategy, deliver insights that help business decisions.</li>
<li>Contribute to the development and alignment of team Objectives and Key Results (OKRs) and analytics strategy to ensure they support the product and business goals across the Payments organization.</li>
<li>Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Scientist, Product, Payments

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Title: Manager, Data Science &ndash; Analytics
 
 
 
 
 Job Location: Bangalore, India
 
 
 
 The Global Shipping team works closely with product and business partners with the objective to drive success of eBay&rsquo;s key shipping initiatives through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.
 
 
 We are seeking a high-energy, driven and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities. The ideal candidate will apply advanced analytics and data science techniques to drive innovation, build data products, and deliver actionable recommendations through meticulous analysis.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and provide structured and data-supported practical solutions to optimize eBay&rsquo;s domestic and cross-border shipping
 </li>
 <li>
 Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while optimizing conversion.
 </li>
 <li>
 Drive innovation and continuous improvement within the shipping analytics team, develop data products for faster and accurate decision-making, leverage advanced analytics tools and data science models.
 </li>
 <li>
 Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to identify, prioritize, and solve shipping-related business challenges.
 </li>
 <li>
 Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
 
 
 
 </li>
 </ul>
 Additional requirements: This role operates within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.
 
 
 
 What We Expect From You
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. Masters in a related field or an MBA is preferred.
 </li>
 <li>
 6+ years of work experience in data science, analytics, or a related field.
 </li>
 <li>
 Strong analytical skills with expertise in SQL, Excel and data visualization tools. Proficiency in a statistical programming language like R or Python is preferred
 </li>
 <li>
 Background in product analytics with hands-on experience with A/B experiments (design and measurement techniques) is preferred.
 </li>
 <li>
 Proven track record of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.
 </li>
 <li>
 Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.
 </li>
 <li>
 Experience working in a fast-paced environment with cross-functional teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
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</div>

Manager, Data Science - Analytics

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. 
How will you make an impact in this role?
The Analytics, Investment Optimization and Marketing Enablement (AI&amp;M) team &ndash; a part of Global Commercial Services Marketing group within American Express &ndash; is the analytical engine that enables the Global Commercial Card &amp; Non-Card business. This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Card Product Analytics. The team specifically focuses on portfolio, campaign tracking and commercial product analytics and partners closely with GCS product teams. The incumbent would be responsible for customer behavior, product enhancements, portfolio analytics, measuring the impact of various marketing treatments, reporting results to leadership and providing strategic analytical support. This role requires a strong background in data analytics and commercial card product knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service&rsquo;s business at American Express. 
Key Responsibilities include:<ul><li>
Support and enable the business partners with campaign tracking and measurements, and actionable data driven insights.</li><li>
Portfolio analytics to identify trends, composition, leading indicators, and outlook.</li><li>
Support and enable the GCS product partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.</li><li>
Accurate, timely and efficient delivery of monthly results reporting for marketing leadership.</li><li>
Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.</li><li>
Exceptional execution skills &ndash; be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.</li><li>
Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.</li></ul> 
Minimum Qualifications:<ul><li>
Minimum 1-3 years of experience.</li><li>
Degree in quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics).</li><li>
Strong technical and analytical skills (SQL, Python and BI tools) with the ability to apply both quantitative methods and business skills to create insights and drive results.</li><li>
Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors.</li><li>
Strong programming skills are preferred. Experience with Big Data programming is a plus.</li><li>
Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies.</li></ul>

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
Support for financial-well-being and retirement</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
Generous paid parental leave policies (depending on your location)</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul>
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div>

Analyst-Data Analytics (SQL, Python and BI tools)

<div>
 
 
 Role Purpose
 
 
 
 Serve as the central insights and decision-support partner for Growth, Product, and Leadership. This role owns KPI frameworks, dashboards, and deep-dive analyses, turning data into clear recommendations that improve acquisition, activation, retention, merchant performance, TPV, and overall unit economics.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 KPI Framework &amp; Dashboarding
 
 
 <ul>
 <li>
 Define and maintain the North Star metrics and supporting KPIs, including:
 </li>
 <li>
 Acquisition: installs, registrations, KYC completion
 </li>
 <li>
 Activation: first top-up, first payment, first remittance, first card use
 </li>
 <li>
 Engagement &amp; retention: WAU/MAU, cohorts, frequency, churn
 </li>
 <li>
 TPV, ARPU, LTV, payback period, and profitability by segment/product
 </li>
 <li>
 Merchant metrics: onboarding funnel, active merchants, TPV per merchant, churn.
 </li>
 <li>
 Build and maintain executive-ready dashboards in Power BI, connected to the data warehouse.
 </li>
 </ul>
 
 
 Deep-Dive Analytics
 
 
 <ul>
 <li>
 Perform funnel, cohort, and segmentation analyses to identify bottlenecks and opportunities in:
 </li>
 <li>
 Thawani Pay app journeys (bills, transfers, remittance, insurance, Athar, Sama, Tawani Store)
 </li>
 <li>
 Mojab and Mojab Go usage (top-ups, card usage, group payments).
 </li>
 <li>
 Merchant behaviours across Tajer App, Merchant Portal, Payment Gateway and Payment Link.
 </li>
 <li>
 Assess the impact of marketing campaigns, CRM journeys, UI/UX changes, and product launches on KPIs.
 </li>
 </ul>
 
 
 Experimentation &amp; Strategic Support
 
 
 <ul>
 <li>
 Partner with Performance Marketing, CRM, and Product to design, measure, and interpret A/B tests and experiments.
 </li>
 <li>
 Develop data-backed recommendations for pricing, incentives, targeting, and UX changes.
 </li>
 <li>
 Support CMO, CEO, and CBO with data for business cases, board materials, and investor discussions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 6&ndash;10+ years in Product Analytics, Growth Analytics, or Business Intelligence, ideally in FinTech or payments.
 </li>
 <li>
 Strong skills in SQL, experience with a cloud data warehouse (e.g., BigQuery/Snowflake), and confidence in Power BI or similar BI tools.
 </li>
 <li>
 Familiarity with GA4, Firebase, Adjust, Mixpanel, and experimentation frameworks.
 </li>
 <li>
 Ability to translate complex analysis into simple, actionable stories for senior stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment where priorities and products evolve.
 </li>
 </ul>
 
 
 
</div>

Senior Growth & Product Data Analyst

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Product Manager - Advanced Analytics | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Advanced Analytics Product Manager
 
 will play a critical role in driving the development and success of high-impact, AI-powered use case products within the transformation roadmap. This role serves as the strategic bridge between business stakeholders, implementation teams, and technology functions&mdash;ensuring Advanced Analytics solutions are aligned to business goals, deliver measurable value, and are effectively integrated into decision-making processes.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Collaborate closely with the Business owners and Head of Analytics to define and implement a group-wide analytics product strategy aligned to business priorities and the Transformation vision.
 </li>
 <li>
 Own the full product lifecycle of advanced analytics and AI-powered use cases&mdash;from ideation and proof-of-concept (POC) to scaled implementation, adoption, and continuous improvement.
 </li>
 <li>
 Set the vision, strategy, and roadmap for each analytics product, ensuring clarity of purpose, stakeholder alignment, and long-term value delivery.
 </li>
 <li>
 Participate in discovery workshops with business units to identify analytics opportunities, shape problem statements, and prioritize high impact use cases.
 </li>
 <li>
 Collaborate with data science, analytics, and business teams to convert successful POCs into scalable products that deliver measurable outcomes.
 </li>
 <li>
 Build and maintain strong partnerships with senior stakeholders across functions, acting as a trusted advisor and product evangelist.
 </li>
 <li>
 Lead change management efforts, helping drive cultural and behavioral shifts around data usage and analytics adoption.
 </li>
 <li>
 Work with data management teams to structure and prepare high-quality, relevant data assets that enable fast prototyping and product development.
 </li>
 <li>
 Partner with data engineers to incorporate internal and external data sources, optimizing analytics product performance and value.
 </li>
 <li>
 Provide input into the data infrastructure roadmap, ensuring alignment between analytics product needs and platform capabilities.
 </li>
 <li>
 Support the advanced analytics operating model, participating in governance forums, and contributing to the evolution of best practices.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline such as Business, Computer Science, Engineering, Mathematics, Economics, or related fields.
 </li>
 <li>
 10+ years of experience in analytics, product management, business analysis, and management consulting.
 </li>
 <li>
 Strong background in delivering data or AI-powered products, ideally within large organizations and being part of data transformation programs.
 </li>
 <li>
 Strong understanding of data and analytics fundamentals, product development lifecycles, and enterprise business environments.
 </li>
 <li>
 Exceptional interpersonal skills; highly effective in cross-functional teamwork and communicating complex ideas in a simple, compelling way.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

Product Manager - Advanced Analytics

Khelo Tech & Strategy Pvt Ltd - Allsport.in

Job Description:We are seeking a highly driven and detail-oriented AI Product Manager Intern to support the product management team in executing web and mobile-based digital products. This internship provides hands-on exposure to the end-to-end product lifecycle, including requirement gathering, documentation, coordination with cross-functional teams, and supporting product launches.The intern will work closely with Product Managers, Engineering, Design, QA, Business, and Account Management teams to ensure smooth execution and alignment with client and business objectives. This role is ideal for individuals aspiring to build a career in Product Management and gain real-world experience in digital platforms.Responsibilities:<ul><li>Assist in maintaining and updating the product roadmap and sprint backlog for web and mobile platforms</li><li>Support requirement gathering by documenting user needs, business requirements, and functional specifications</li><li>Translate requirements into user stories and acceptance criteria under Product Manager guidance</li><li>Coordinate with design and development teams to track sprint progress, dependencies, and risks</li><li>Participate in user research, usability testing, and competitor benchmarking</li><li>Assist in tracking product performance and basic analytics using tools such as Google Analytics</li><li>Support AI/ML-enabled features by assisting in documentation of use cases, workflows, and data requirements</li><li>Maintain structured product documentation, including PRDs, release notes, and KT materials</li><li>Prepare stakeholder updates, review decks, and internal reports</li><li>Support product demos, UAT coordination, and feature walkthroughs</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree (ongoing or completed) in Engineering, Computer Science, Data Science, Design, Business, or a related discipline</li><li>Strong interest in Product Management and digital product development</li><li>Basic understanding of web and mobile application ecosystems</li><li>Familiarity with tools such as Zoho Sprints, JIRA, Trello, or equivalent</li><li>Exposure to design tools like Figma or wireframing concepts is desirable</li><li>Strong analytical thinking and problem-solving ability</li><li>Clear written and verbal communication skills</li><li>Ability to work effectively with cross-functional teams</li><li>High ownership, learning mindset, and adaptability in a fast-paced environment</li><li>Foundational knowledge of AI/ML concepts will be an add-on.</li></ul>Preferred Qualifications:<ul><li>Academic projects, internships, or coursework involving AI/ML, data analytics, or intelligent systems</li><li>Exposure to AI-powered products such as recommendation systems, chatbots, personalisation engines, or predictive analytics</li><li>Basic understanding of APIs, data flows, and technical constraints</li><li>Familiarity with cloud-based platforms or data tools is an advantage</li><li>Product Management certifications or coursework (Airtribe, Product School, Hello PM, or equivalent)</li></ul>Internship Duration: 6 Months [Performance will be evaluated upon completion of the internship period. Based on the evaluation, a Pre-Placement Offer (PPO) may be extended]Stipend: 10,000 per monthLocation: Delhi, SaketJob Types: Fresher, Internship, Permanent, Full-timePay: ₹8,000.00 - ₹10,000.00 per monthWork Location: In person

Product Designer Intern

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