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associate director analytics

WNS Analytics

<div>
 
 We are seeking a Senior Subject Matter Expert (SME) in Digital Analytics to lead our Digital Analytics Practice. The ideal candidate will combine deep technical expertise with business acumen to build and scale analytics capabilities, strengthen client partnerships, and drive practice growth. This role requires hands-on proficiency in Google Analytics 4 (GA4), Power BI, Azure Databricks (Python/PySpark, SQL), and GCP BigQuery, along with leadership experience in managing delivery teams, developing frameworks, and supporting account farming in a dynamic retail/e-commerce environment.
 
 
 Responsibilities: Lead the Digital Analytics Practice, delivery standards and innovation roadmap for clients. Define and standardize frameworks for analytics implementation, data quality, and reporting governance. Partner with sales and account teams to support farming and renewals by identifying new solution opportunities. Develop best practices, training programs, and reusable assets to strengthen internal capability maturity. Lead the governance of Google Analytics 4 (GA4) implementation and data accuracy across web and mobile ecosystems. Design and customize GA4 dashboards and reports, integrating multiple data sources for unified performance insights. Connect GA4 to BigQuery and Databricks for advanced funnel, engagement, and cohort analyses. Lead to build and maintain Power BI dashboards to deliver real-time, actionable insights to business stakeholders. Develop robust data models, DAX measures, and Power Query transformations in Power BI. Integrate BigQuery datasets with Power BI for seamless cloud-based reporting. Design, develop, and optimize PySpark notebooks in Azure Databricks for large-scale data processing.Design and maintain ETL/ELT pipelines to integrate data from GA4, CRM, transaction systems, and other enterprise sources. Optimize advanced SQL queries for both Databricks SQL and GCP BigQuery environments. Collaborate with business, marketing, and data science teams to translate digital data into actionable strategies. Collaborate with client leadership to identify and deliver high-impact analytics use cases. Ensure on-time, high-quality delivery and governance of all digital analytics engagements.
 
 
 
 
 
 Desired Skills and Experience: Must Have:12+ years of experience in Digital Analytics, BI or data engineering, ideally in the retail/e-commerce domain. Deep expertise in Google Analytics 4, Power BI (data modeling, DAX, Power Query, and visualization).Hands-on experience with Azure Databricks, Python/PySpark, and SQL. Strong programming and analytical skills in Python/PySpark within Azure Databricks. Proficiency in SQL across Databricks SQL and GCP BigQuery. Proven experience in leading analytics teams, defining best practices, and building reusable frameworks GAIQ Certification (Google Analytics Individual Qualification).Excellent communication, stakeholder management, and presentation skills.
 
 
 Good to Have: Experience integrating GA4, BigQuery/Azure Databricks, and Power BI for unified analytical reporting. Exposure to CI/CD, version control, and data pipeline automation. Advanced Excel and Google Sheets proficiency. Strong understanding of data governance, tracking validation, and debugging digital data pipelines.
 
</div>

Associate Director - Analytics

Unacademy

<div>
 
 
 Position : Associate Director/Category Head
 
 
 
 
 Location: Bengaluru
 
 
 
 
 Experience : 3 - 6 Years
 
 
 
 
 Work Mode: 6 Days a Week (Work From Office)
 
 
 
 
 
 
 
 About Us
 
 
 
 Unacademy is India&rsquo;s largest learning platform, empowering millions of learners with access to top educators, high-quality content, and world-class learning experiences. With a mission to democratize education, Unacademy is shaping the future of learning across online and offline formats through innovation, data-driven insights, and learner-first design.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a strategic and performance-driven Category Head / Associate Director to lead the CA/CS/CMA category. The ideal candidate will drive category growth through effective P&amp;L management, educator partnerships, learner engagement, and execution excellence. You will be responsible for setting the vision, strategy, and roadmap for the category while ensuring
 
 
 measurable business impact.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 ● Category Ownership: Own the P&amp;L for the CA/CS/CMA category, driving growth, profitability, and learner outcomes.
 
 
 ● Strategy &amp; Execution: Define short-term and long-term strategies for category expansion, educator acquisition, and learner retention.
 
 
 ● Team Leadership: Lead and mentor category associates, managers, and cross-functional teams to ensure strong execution and performance.
 
 
 ● Educator Management: Identify, onboard, and manage top educators; drive collaborations that align with brand and learner expectations.
 
 
 ● Operational Excellence: Streamline workflows for class scheduling, academic planning, and learner engagement in coordination with central and regional teams.
 
 
 ● Revenue &amp; Growth: Monitor key performance metrics, analyze business trends, and implement data-backed initiatives to achieve revenue targets.
 
 
 ● Stakeholder Collaboration: Work closely with Product, Marketing, Operations, and Growth teams to deliver best-in-class category outcomes.
 
 
 ● Learner Experience: Ensure high-quality academic delivery, learner satisfaction, and brand consistency across all touchpoints.
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 ● Bachelor&rsquo;s degree from a Tier 1 institute and MBA from a Tier 1 or Tier 2 college.
 
 
 ● 3&ndash;6 years of experience in Category Management, Business Operations, or P&amp;L Management, preferably in EdTech or Education domains.
 
 
 ● Proven expertise in revenue management, strategic planning, and stakeholder leadership.
 
 
 ● Strong analytical and problem-solving skills; data-driven decision-making ability.
 
 
 ● Excellent communication, negotiation, and cross-functional collaboration skills.
 
 
 ● Experience in managing teams and driving business growth in a fast-paced environment.
 
</div>

Category Head

Walmart Global Tech India

<div>
 Position Summary...
 
 
 As the Director of Engineering and Platforms for the Data Ventures at Walmart Global Tech, you will play a pivotal role in shaping the future of our data and analytics capabilities. Leading a talented and diverse team of data engineers distributed across the globe, you will spearhead the development and maintenance of cutting-edge data products that fuel our business growth and customer-centric initiatives.
 
 
 What you'll do...
 
 
 
 About Team:
 
 
 
 
 The Data &amp; Customer analytics team in US Omni and Platform tech is dedicated to analyzing customer data, leveraging insights to inform business decisions, and driving improvements in customer experiences across Walmart's retail operations, utilizing advanced data science techniques and tools to understand customer behavior and trends at scale.
 
 
 
 Walmart Data Ventures operates with the agility of a nimble startup, dedicated to creating the best-in-class suite of Data Products. Walmart Luminate is the first product, which has been created to deliver actionable, customer-centric insights, empowering Retail suppliers and Walmart merchants make data-driven decisions in a smarter, faster, and collaborative
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Driving the Data ventures Platform operations charter, bring best practices, solve key enterprise problems for multiple markets
 </li>
 <li>
 Coordinate across retail value chain functional teams of data scientists, analysts, product managers, engineers, and business operators on value realization initiatives.
 </li>
 <li>
 Develop and leverage a consistent framework to identify and prioritize uses cases based on business value.
 </li>
 <li>
 Play a key role to solve complex data problems (business &amp; operational), pivotal to Walmart's business and drive actionable insights.
 </li>
 <li>
 Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems.
 </li>
 <li>
 Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem.
 </li>
 <li>
 Establish platform best practices and drive the use of state of art techniques.
 </li>
 <li>
 Manage development and support of data commercialization platform that caters to needs of real time events and batch data processing
 </li>
 <li>
 Manage end to end development of data products that include traditional RDBMS and big data platforms
 </li>
 <li>
 Build and lead a high-performing team of DevOPS professionals.
 </li>
 <li>
 Drive continuous improvement by researching industry best practices and incorporating it to our company
 </li>
 <li>
 Drive the execution of multiple business plans for your own project team and deliverables.
 </li>
 <li>
 Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives engaging key stakeholders in the development execution and evaluation of appropriate business plans and initiatives and supporting associate efforts in these areas
 </li>
 <li>
 Implement data quality frameworks and ensure compliance with data governance policies.
 </li>
 <li>
 Engage with leadership globally in setting up priorities for the team.
 </li>
 <li>
 Create a collaborative environment across geography for delivering best services to the customers around the globe.
 
 
 </li>
 </ul>
 
 What you'll bring:
 
 
 
 <ul>
 <li>
 Bachelor of Engineering degree or closely related discipline.
 </li>
 <li>
 15+ years of experience in building data integration and platform solutions involving Big Data technologies.
 </li>
 <li>
 A strong experience in driving data/engineering operations for end user applications.
 </li>
 <li>
 A strong understanding of data platforms, data and reporting engines, data modelling and warehousing, and data transformations and pipelines for supporting real time and batch-oriented events processing.
 </li>
 <li>
 Experience in leading large/medium distributed platform teams.
 </li>
 <li>
 Experience with relational databases (Oracle / My SQL), non-relational databases (Cassandra, HBase) and Big data technologies like Hadoop, Spark
 </li>
 <li>
 Experience in building end-to-end data products (DaaS) using latest technologies and architecture (like microservices architecture). This included good knowledge of DevOps.
 </li>
 <li>
 Experience with distributed real time / micro batch computation systems such as Spark
 </li>
 <li>
 Experience with leading data commercialization initiatives.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is&mdash;and feels&mdash;included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we&rsquo;re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years&rsquo; experience in software engineering or related area.
 
 
 Option 2: 8 years&rsquo; experience in software engineering or related area.
 
 
 3 years' supervisory experience.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2332246
</div>

Director, Software Engineering

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA)
 
 
 
 Min Experience: 5 years
 
 
 Location: Bengaluru
 
 
 JobType: full-timeWe are seeking an experienced
 
 Data Engineer
 
 to design, build, and maintain robust data pipelines and architectures that power analytics, interoperability, and data-driven decision-making across our healthcare ecosystem. The ideal candidate will have a strong background in
 
 Azure data services
 
 ,
 
 ETL development
 
 ,
 
 Databricks
 
 , and hands-on experience with
 
 FHIR (Fast Healthcare Interoperability Resources)
 
 standards. This role requires a mix of technical proficiency, problem-solving ability, and a deep understanding of healthcare data integration.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, develop, and optimize scalable ETL/ELT workflows to extract, transform, and load structured and unstructured healthcare data into Azure-based data platforms (e.g., Azure Data Lake, Azure Synapse, Databricks).
 </li>
 <li>
 FHIR Data Integration: Implement and manage FHIR-based data models and APIs for healthcare data interoperability. Ensure compliance with healthcare data standards and regulatory frameworks.
 </li>
 <li>
 Data Architecture &amp; Modeling: Develop logical and physical data models to support data warehousing, reporting, and analytics needs. Ensure data accuracy, integrity, and security across all stages of the data lifecycle.
 </li>
 <li>
 Databricks Development: Build and manage scalable data processing solutions using Azure Databricks. Optimize performance of large-scale data transformations using PySpark, SQL, or Scala.
 </li>
 <li>
 Data Quality &amp; Governance: Establish and maintain data quality frameworks, validation processes, and governance standards. Ensure consistent and compliant data handling across systems.
 </li>
 <li>
 Collaboration &amp; Stakeholder Management: Partner with data scientists, analysts, architects, and business teams to deliver reliable and accessible data assets. Translate business requirements into technical solutions.
 </li>
 <li>
 Performance Optimization: Monitor, troubleshoot, and enhance data pipelines for performance, scalability, and cost efficiency in the Azure environment.
 </li>
 <li>
 Documentation &amp; Best Practices: Maintain detailed documentation of architecture, data flows, and processes. Contribute to continuous improvement by implementing data engineering best practices and automation.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Strong expertise in Azure Data Services - Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure SQL.
 </li>
 <li>
 Hands-on experience with Databricks for data processing, transformation, and analytics.
 </li>
 <li>
 Proven ability to design and maintain ETL/ELT pipelines using modern data engineering tools and frameworks.
 </li>
 <li>
 Proficiency in SQL, Python, or Scala for data manipulation and automation.
 </li>
 <li>
 Solid understanding of FHIR standards, data schemas, and API integration for healthcare data exchange.
 </li>
 <li>
 Experience with data modeling, metadata management, and data governance frameworks.
 </li>
 <li>
 Familiarity with CI/CD, Git, and DevOps practices in data engineering environments.
 </li>
 <li>
 Experience: 5-10 years of professional experience in data engineering, with at least 2 years of exposure to healthcare or interoperability projects leveraging FHIR.
 </li>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, agile environment with cross-functional teams.
 
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with HL7, CDA, or other healthcare interoperability standards.
 </li>
 <li>
 Exposure to machine learning data pipelines or advanced analytics environments.
 </li>
 <li>
 Azure certifications (e.g., Azure Data Engineer Associate) are a plus
 </li>
 </ul>
</div>

Data Engineer

Upivot

<div>
 
 
 Company Description
 
 
 
 Upivot is redefining career transformation by bridging the gap between learning and earning. Our AI-driven ecosystem empowers professionals through personalized mentorship, real-world project experience, pre-assessment testing, and seamless job placement. Currently focused on Product Management and Leadership domains, we're building AI-native products that don't just teach&mdash;they transform careers.
 
 
 
 
 
 
 Role Description
 
 
 
 You'll be our: Product Manager - Interview Prep Product
 
 
 You'll be based at: Bengaluru
 
 
 You'll be aligned with: Senior Product Manager - AI Products
 
 
 You'll be a member of: Product Management Team
 
 
 We're looking for an Associate PM who gets excited about building for Product Managers.
 
 
 You'll own the Interview Prep product&mdash;an AI-native platform that helps PMs crack their dream interviews through personalized practice, real-time feedback, and data-driven insights.
 
 
 
 
 
 This isn't just another EdTech product. You'll be working at the intersection of AI/ML, career development, and product education&mdash;building experiences that genuinely move the needle on someone's career trajectory.
 
 
 
 
 
 
 What You'll Do at Upivot
 
 
 
 
 
 <ol>
 <li>
 Map the complete PM interview journey&mdash;understanding pain points, current prep workflows, and success patterns across different interview types (behavioral, product design, metrics, strategy, technical)
 </li>
 <li>
 Translate user insights and business goals into clear problem statements and product specifications for engineering, design, and AI/ML teams
 </li>
 <li>
 Maintain lean PRDs, experiment docs, and success criteria for your product area
 </li>
 <li>
 Contribute to the product roadmap by balancing user impact, technical feasibility, and business outcomes
 </li>
 <li>
 Own end-to-end delivery of features related to interview prep&mdash;mock interviews, question banks, AI-powered feedback, personalized learning paths, and performance analytics
 </li>
 <li>
 Drive cross-functional teams (engineering, design, data science, content) to ship high-quality experiences with minimal oversight
 </li>
 <li>
 Break down ambiguous AI opportunities (e.g., "make feedback more actionable," "improve answer evaluation accuracy") into concrete experiments and product bets
 </li>
 <li>
 Manage backlogs, write detailed user stories, and ensure smooth sprint execution
 </li>
 <li>
 Partner with data science/ML teams to define model requirements, evaluation criteria, and feedback loops for AI features (answer evaluation, personalized recommendations, difficulty progression)
 </li>
 <li>
 Design guardrails and quality checks to ensure AI-generated feedback is accurate, helpful, and fair
 </li>
 <li>
 Run experiments to validate AI feature effectiveness and user satisfaction
 </li>
 <li>
 Define product instrumentation and success metrics for the Interview Prep product (completion rates, practice frequency, time-to-improvement, interview success rate)
 </li>
 <li>
 Build dashboards and analyze quantitative data (SQL) to uncover usage patterns and bottlenecks
 </li>
 <li>
 Run A/B tests on feature variations, content formats, and AI feedback styles to optimize outcomes
 </li>
 <li>
 Generate qualitative insights through user interviews, surveys, and session recordings
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 1-3 years of product management experience (or relevant experience in analytics, design, or tech roles with strong product thinking)
 </li>
 <li>
 User empathy: Genuine interest in understanding PM interview challenges and building experiences that actually help people succeed
 </li>
 <li>
 Data-driven mindset: Comfortable with SQL, analytics tools, and using data to drive decisions
 </li>
 <li>
 Structured problem-solving: Ability to break down complex, ambiguous problems into actionable plans
 </li>
 <li>
 Strong communication skills: Clear written and verbal communication to articulate ideas, specs, and rationale across teams
 </li>
 <li>
 Ownership mentality: Bias for action, accountability for outcomes, and ability to work independently
 </li>
 <li>
 Technology grounding: Understanding of how software products are built, basic familiarity with AI/ML concepts
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Haves
 
 
 <ul>
 <li>
 Experience in EdTech, career services, or assessment platforms
 </li>
 <li>
 Prior exposure to AI/ML product development or LLM-based products
 </li>
 <li>
 Background in product management education/training or coaching
 </li>
 <li>
 Familiarity with product analytics tools (Mixpanel, Amplitude, Google Analytics)
 </li>
 <li>
 Experience running user research and usability tests
 </li>
 <li>
 Understanding of interview frameworks (CIRCLES, STAR, etc.) and PM interview best practices
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ol>
 <li>
 Complete Remote Culture - Work from Home
 </li>
 <li>
 Part of the Core Founding Team Building AI Native Product.
 </li>
 </ol>
</div>

Product Manager

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Business Analyst (Supply Analytics, Bangkok-based, Relocation provided)

<div>
 Position Summary...
 
 
 As a Software Engineering Intern, you&rsquo;ll be part of a collaborative team that builds scalable software solutions with AI/ML integrations. You&rsquo;ll contribute to real-world projects, learn from experienced engineers, and gain exposure to Walmart&rsquo;s technology ecosystem. Interns are expected to demonstrate curiosity, ownership, and a strong learning mindset while embodying Walmart&rsquo;s culture and values.
 
 
 What you'll do...
 
 
 
 About Walmart
 
 
 
 At Walmart Global Tech India, you'll join a collaborative team of over 15,000 engineers, data scientists, and service professionals. The team builds scalable software solutions with AI/ML integrations, driving digital transformation for Walmart&rsquo;s global operations and enhancing customer and associate experiences.
 
 
 If you&rsquo;re thinking &lsquo;scale&rsquo;, think bigger and don&rsquo;t stop there. At Walmart Global Tech India, we don&rsquo;t just innovate, we enable transformations across stores and different channels for the Walmart experience. Take a regular day at Walmart Global Tech India and match that with 260 million customers a week, 11,300+ stores, under 19 countries and e-commerce websites.
 
 
 With fiscal year 2025 revenue of $681 billion, Walmart employs approximately 2.3 million associates worldwide. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We&rsquo;re changing what customers can expect from the experience of shopping, from the physical stores, to mobile, social and even online; we&rsquo;re not just ready for the future of shopping, we&rsquo;re creating it.
 
 
 
 About Team:
 
 
 
 At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team
 
 
 
 What You'll Do
 
 
 
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 Design, develop, and deploy scalable software systems.
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 Collaborate with cross-functional teams across product, design, and data.
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 Solve complex engineering challenges in AI/ML, cloud infrastructure, data platforms, and consumer applications.
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 Participate in agile development cycles, code reviews, and innovation sprints.
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 Create and maintain software that improves customer and associate experiences.
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 Work on domains like supply chain, retail systems, finance, logistics, and mobile development.
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 Use technologies such as Java, Hadoop, Cassandra, ERP, machine learning, and open-source frameworks.
 
 
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 What You'll Bring:
 
 
 
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 Final-year students (Class of 2026) in Computer Science, Software Engineering, or related fields.
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 Strong programming skills in Python, Java, C++, or JavaScript.
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 Proficiency in tools/frameworks like Github, Co-pilot, Qodo Merge, DX Ai chat.
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 Solid understanding of data structures, algorithms, and system design.
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 Passion for building technology that impacts millions.
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 Indian nationals currently enrolled in US universities.
 
 
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 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2351785
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Grad Intern - No Work Experience

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