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Senior AnalystOur PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummarySenior AnalystJob Summary The Senior Analyst, Value Enablement &amp; Optimization, will lead the development of data-driven frameworks, tools, and strategies aimed at optimizing value delivery across Pricing, Pre-Sales Enablement, and Customer Success. This role requires a combination of strategic thinking and technical expertise to build scalable solutions aligned with Mastercard's growth objectives. The ideal candidate will be a clear communicator, a collaborative team player, and an innovative problem solver who is passionate about driving impactful insights. Experience in the payments industry will be a strong plus. ________________________________________ Key Responsibilities Strategic Support •	Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success. •	Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives. •	Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes. •	Develop frameworks, project structures, and presentations to communicate key strategic initiatives. •	Conduct data integrity checks and ensure quality and reliability in data used for analysis. •	Translate complex business problems into analytical solutions that support strategic decision-making. Technical Leadership •	Lead the development of advanced analytics tools, such as ROI calculators and value dashboards, to measure and optimize business performance. •	Utilize Python, SQL, and BI tools (e.g., Tableau, Power BI) for data analysis, modeling, and visualization. •	Create dynamic, interactive dashboards to provide stakeholders with actionable insights. •	Integrate AI/ML models to enhance the accuracy and efficiency of analytical tools (good-to-have, not mandatory). •	Drive process efficiency and scalability through automation and advanced analytics techniques. Value Enablement Initiatives •	Develop frameworks for measuring and tracking customer value realization. •	Design predictive models and real-time insights to create tailored customer solutions and business cases. •	Build self-service analytics tools to empower stakeholders with actionable insights. •	Encourage a culture of innovation by promoting participation in Sandbox challenges and regular brainstorming sessions. •	Develop flexible and agile solutions based on a deep understanding of business goals and market context. Revenue Optimization •	Identify and implement strategies to optimize revenue through data-driven analysis. •	Track performance metrics and identify opportunities to improve alignment with revenue goals. •	Develop tools to track realized ROI and customer outcomes, providing diagnostics for further optimization. Collaboration &amp; Team Enablement •	Collaborate with cross-functional teams to ensure smooth execution of strategic initiatives and projects. •	Foster a collaborative and innovative environment, promoting knowledge sharing and teamwork. •	Lead working sessions to drive alignment and productivity within the team. •	Provide mentorship and feedback to support team members' professional development. •	Lead internal training and enablement efforts on analytics tools and methodologies. Stakeholder Management •	Manage and implement roadmaps for strategic projects, ensuring alignment with business priorities. •	Engage regularly with stakeholders, ensuring effective communication of project progress and addressing escalations. •	Lead standups and project meetings, ensuring clear articulation of agendas, action items, and next steps. ________________________________________ Qualifications Experience •	5+ years of experience in analytics, data science, pricing strategy, customer success, or related fields, ideally within the payments, financial services, or technology sectors (experience in payments industry is a strong plus). •	Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes. •	Experience in using Python, SQL, and BI tools (e.g., Tableau, Power BI) for building analytics solutions. •	Experience integrating AI/ML models to enhance predictive insights and automate workflows is a good-to-have. •	Proficient in Microsoft Excel and PowerPoint for data analysis, reporting, and presentation development. Skills •	Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions. •	Exceptional analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets. •	Clear and concise communication skills, with the ability to translate technical insights into business impact for both technical and non-technical stakeholders. •	Ability to work collaboratively within cross-functional teams and promote a knowledge-sharing environment. •	Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles. Education •	Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. •	Advanced degrees (MBA, Master’s, or certifications in analytics, data science) are preferredCorporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul> <h4>Experience Level</h4>Senior Level

Mastercard India Services Pvt Ltd

Senior Analyst

GCP Data Engineer We’re Hiring – GCP Data Engineer, passionate about building scalable, high-performance data solutions on the cloud. Experience: 3–12 YearsKey Skills:<ul><li> Python, SQL</li><li> GCP Services – BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer</li><li> Strong understanding of data pipelines and scalable data processing</li></ul> If you’re ready to take the next step in your data engineering journey and work on cutting-edge cloud projects, share your CV.

Impetus Technologies India Pvt Ltd

Data Engineer

Data Engineering Manager (Databricks Expert) We're hiring a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 (𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐄𝐱𝐩𝐞𝐫𝐭) for 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐆𝐫𝐚𝐝𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. Experience: 7+ years in Databricks and PySparkKey Skills:<ul><li>Expertise in Databricks, Unity Catalog, Databricks Genie, PySpark, and data pipeline development</li><li>Proficiency in SQL, Python, and cloud platforms (Azure/AWS/GCP)</li><li>Strong understanding of data modeling and ETL processes</li><li>Familiarity with SAP (Modules - MM, FI, SD, PP, CO, PS, HCM) and other well-known ERP Systems</li></ul> If you're ready to lead innovative data solutions, please apply with the mail subject as \"Applying for Data Engineering Manager (Databricks Expert)\".

Ernst & Young LLP ( EY India )

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

Xoriant

Product Lead

Big Data Developer What You’ll Do:<ul><li>Leverage Apache Iceberg: Design and implement robust big data solutions using Apache Iceberg to manage large datasets efficiently.</li><li>Collaborate for Success: Partner with cross-functional teams to enhance data architecture and drive impactful business decisions.</li><li>Data Analysis &amp; Insights: Dive into complex data sets, extracting meaningful insights that inform strategy and operations.</li><li>Optimize Data Workflows: Ensure seamless integration and high performance across data platforms while maintaining data integrity.</li></ul> What We’re Looking For:<ul><li>Big Data Expertise: Solid experience with Big Data technologies, particularly Apache Iceberg.</li><li>Programming Skills: Proficiency in Java, Scala, or Python to develop and optimize data solutions.</li><li>Analytical Thinker: Strong analytical skills with the ability to derive insights from complex datasets.</li><li>Agile Mindset: Comfortable working in a fast-paced environment and managing multiple tasks effectively.</li></ul> Why Xoriant?<ul><li>Competitive Rewards: Enjoy a comprehensive salary and benefits package that values your expertise.</li><li>Growth Opportunities: We invest in your professional development—unlock your potential with us!</li><li>Innovative Culture: Experience a collaborative environment that celebrates creativity, teamwork, and innovation.</li></ul> <ul><li>Experience: 5-9 Years</li><li>Specialization: Apache Iceberg</li></ul> Send your resume to <a rel=\"noopener noreferrer\" href=\"mailto:pranav.dillikar@xoriant.com\" target=\"_blank\">pranav.dillikar@xoriant.com</a> with the subject line \"Big Data Developer Application.\"

Data Scientist

Sr. Data Engineer Skills - AWS Glue, SQL, Pyspark, Python, DatabricksExperience - 4 yearsNo. of Openings - 2 Share your resume now.

Dev Information Technology LTD

Alteryx Certified Engineer We are looking for talented Alteryx Certified Engineer who are passionate about automation and data transformation. This role offers the opportunity to design and build Alteryx solutions that replace manual, Excel-based processes (EUCs), driving efficiency and accuracy across critical business operations. Experience: 5+ Years Key Responsibilities<ul><li>Collaborate with BAU SMEs to understand EUC requirements.</li><li>Design, document, and develop Alteryx workflows to automate manual processes.</li><li>Build scalable Alteryx solutions that enhance efficiency and reduce risk.</li><li>Support testing, troubleshooting, and deployment of workflows.</li><li>Ensure compliance with organizational standards and best practices.</li></ul> What We’re Looking For<ul><li> Alteryx Certification (required)</li><li> Proven expertise in Alteryx workflow design &amp; development.</li><li> Strong problem-solving and analytical skills.</li><li> Ability to engage with SMEs and translate requirements into solutions.</li><li> Experience in automation of manual/Excel-based processes (EUCs).</li></ul> How to Apply: Please send your resume. Subject line: Resume for Alteryx Certified Engineer Also mention: Current Location, CTC, ECTC, and Notice Period in your application.

Testing Engineer

Sr. Data Engineer Required Skills &amp; Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field.</li><li>Proven experience as a Data Architect or Sr Data Engineer</li><li>Strong expertise in data modeling, database design (SQL &amp; NoSQL), and ETL processes.</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data ecosystems (Snowflake, Databricks, BigQuery, Redshift, etc.).</li><li>Knowledge of big data technologies (Hadoop, Spark, Kafka) is a plus.</li><li>Proficiency in data governance, data security, and compliance frameworks.</li><li>Strong problem-solving and analytical skills with the ability to handle complex data challenges.</li><li>Excellent communication skills to collaborate with both technical and non-technical stakeholders.</li><li>Experience in data lake and data warehouse</li><li>Experience in data management</li><li>Plus( Certified Data Analytics, Professional Data Engineer, etc.)</li><li>Experience - 7+ Years</li><li>Notice Period - immediate to 15 days</li></ul> Share your resume now.

Team Computers Pvt Ltd

Guidewire Data Analyst Experience:&nbsp;7+&nbsp;Years&nbsp;&nbsp;About the job:We are looking for a skilled Guidewire Data Analyst to support data management, analysis, and reporting needs within Guidewire-based insurance platforms. The ideal candidate will have a deep understanding of Guidewire systems (e.g., PolicyCenter, BillingCenter, and ClaimCenter) and will work closely with stakeholders to derive actionable insights, enhance data processes, and support business objectives through detailed analysis and reporting.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Know your team:At ValueMomentum’s&nbsp;Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.&nbsp;Join a team that invests in your growth. Our&nbsp;Infinity Program&nbsp;empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.&nbsp;Responsibilities:<ul><li>Extract, clean, and analyze data from Guidewire systems (PolicyCenter, BillingCenter, ClaimCenter).</li><li>Perform data audits and validation to ensure data accuracy and completeness.</li><li>Collaborate with data engineering teams to enhance data structures and pipelines for Guidewire data.</li><li>Maintain data integrity and ensure compliance with data governance policies</li><li>Work with business users, product managers, and technical teams to understand reporting needs and translate them into technical requirements.</li><li>Support project implementations and upgrades involving Guidewire modules.</li><li>Identify trends, anomalies, and performance issues within Guidewire workflows.</li><li>Provide recommendations for optimizing business processes based on data insights.</li></ul> Requirements:<ul><li>3+ years of experience in data analysis and reporting, preferably within insurance or financial services.</li><li>Hands-on experience with Guidewire suite (PolicyCenter, BillingCenter, ClaimCenter).</li><li>Proficiency in SQL for querying large datasets.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Looker).</li><li>Familiarity with ETL tools and processes for data integration.</li><li>Knowledge of data warehouses and reporting frameworks.</li><li>Ability to diagnose and resolve complex technical issues efficiently.</li><li>Strong written and verbal communication skills to work effectively with technical and non-technical stakeholders.</li><li>Experience working in an Agile environment.</li></ul>

ValueMomentum Software Services Pvt Ltd

Data Analyst

Sr. BIE, AOP (Analytics Ops & Programs)<h4>Description</h4>AOP team powers the Data and Insights for ROW (Rest of World) Fulfillment Operations. Team is responsible for development of large-scale and business-critical BI and analytics solutions for Operations. AOP team broadly works in three areas: a) Build data products to enable Operations decision making and improve Operations performance. Data products encompass BI/Reporting solutions including development of automated and self-service reports/dashboards and publishing of business-critical decks (xBR, Peak, Contingency) as well as Analytics solutions including development of tools and defect attribution bridges; b) Build science artefacts in realm of forecasting, fraud detection, work productivity improvements and other areas to drive Ops performance; c) Drive analytics-led continuous improvements programs in realm of Ops defect reduction and Cost-savings. This role within AOP would directly work with AOP-leader to: a) Build cross-mile capabilities for ROW marketplaces; b) Set-up and drive adoption of BI Engineering best practices across AOP; c) Develop prototypes as well as launch full-scale solutions incorporating GenAI techniques; d) Build scalable ways to mine business-leading insights at scale for ROW operations. This role is a hands-on role requiring a person to be adept with both existing and new age technologies in data space. This role is flexible to work on all three areas enlisted in AOP scope. About the team AOP team powers the Data and Insights for ROW (Rest of World) Fulfillment Operations. Team is responsible for development of large-scale and business-critical BI and analytics solutions for Operations. We are team having all scope complexity for all Data job families giving you an unique opportunity to explore different roles while solving high-impact Operations problems. <h4>Basic Qualifications</h4>- 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining<h4>Preferred Qualifications</h4>- Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

 Amazon India Limited 

Business Intelligence Engineer

Senior Business AnalystAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.DescriptionAirbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership &amp; economics.The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.The Community You Will Join: We are looking for a Senior Analyst, Insights in our Analytics Centre of Excellence who works in the Sales Operation team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Insights Analytics family and support product and business leaders within our Sales and Revenue operations organization.The Difference You Will Make:<ul><li>Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.  </li><li>Drive day to day product analytics and create scalable data tools.</li><li>Build advanced analytical capabilities and tools, leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals.</li><li>You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging.</li></ul>A Typical Day: Design processes and metrics: <ul><li>Define and implement functional strategy </li><ul><li>Ensure that the work gets delivered against the functional goals </li></ul><li>Quality assurance deliverables, reports, insights, responses provided by the remote team by reviewing outputs along with creating and reviewing QA plans </li><li>Identify operational weaknesses and help improve or innovate new processes to keep local teams as efficient as possible </li></ul> Stakeholder management:<ul><li>Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership </li><li>Collaborate with leaders and managers to determine and address data and reporting needs for various company projects </li></ul>Enable the function as an analytics consultant: <ul><li>Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes  </li></ul>Prepare reports/dashboards/build actionable insights: <ul><li>Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers </li></ul> Independently work on deep insightful analysis and advanced analytics:<ul><li>Provide solutions to business problems through quick ad-hocs analysis with deep insights </li><li>Provide robust analytical solutions through advanced/statistical analysis </li></ul> Additional requirements for Visualisation/dashboarding expertise:<ul><li>Build and maintain Tableau dashboards </li><li>Triage and resolve bugs </li><li>Write and maintain documentation </li><li>Track performance against SLAs </li><li>Identify opportunities for new dashboards or feature </li></ul>Your Expertise:<ul><li>5+ years of experience in data analytics or data science </li><li>Graduate in Economics, Business, Engineering, or other quantitative fields </li><li>Experience in Startup / Tech / Analytics / E-Commerce organizations is preferred </li><li>First hand expertise in Tableau (or other BI tools), building and maintaining enterprise level dashboards is required </li><li>Excellent SQL skills and comfortable using Git, Python and/or R </li><li>Expertise on Microsoft Excel and/or Google Sheets, PowerPoint etc. </li><li>Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation </li><li>Rich experience in insightful data analytics and good knowledge of advanced/statistical analytics </li><li>Expertise in stakeholder &amp; project management, </li><li>Expertise in stakeholder &amp; project management, strong analytical capabilities &amp; logic driven mindset </li><li>Excellent communication skills with the ability to distill complex subjects to a wider audience </li><li>Keen attention to detail and ability to thrive in a dynamic environment with a high degree of ambiguity </li></ul>Our Commitment To Inclusion &amp; Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.Hybrid Work Requirements &amp; Expectations: To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following:
<ul><li>Workspace: A dedicated, quiet, and private workspace free from interruptions and external noise</li><li>Internet Connectivity: During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings</li><li>Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved.</li><li>Confidentiality &amp; Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.</li></ul>Please note that only candidates based in Bangalore will be considered for the role. <h4>Experience Level</h4>Senior Level

Airbnb India Private Limited

Senior Business Analyst

Power BI Developer Skills Required:<ul><li>Design, develop, and maintain insightful and interactive dashboards and reports using BI tool, SQL, and JavaScript.</li><li>Utilize data modeling in Power BI to establish and manage relationships between tables, ensuring data consistency and accuracy.</li></ul> <ul><li>Experience: 7 To 10 Years of Experience.</li><li>Notice Period - Immediate Only.</li></ul> Share your updated resume now.

Net2Source

BI Developer

Data Engineer Looking for a skilled Data Engineer with hands-on experience in AWS, Python, PySpark, and Databricks. Join a growing team working on cutting-edge data solutions!Experience: 5+ Years Share your updated resume now.

Reveille Technologies

Salesforce Data Cloud Expert Are you passionate about Salesforce Data Cloud and have hands-on experience in:<ul><li> Data Harmonization</li><li> Customer Segmentation</li><li> Writing complex SQL queries</li><li> Data Ingestion</li></ul> Must have:-<ul><li>Experience: 4-10 years</li><li>Skill: CDP, salesforce data cloud, salesforce marketing cloud</li><li>Notice: Immediate to 30 days</li></ul> Share your updated resume now.

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