Analytics Lead in Bengaluru

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role We are seeking a strategic Senior Analyst - Data & Analytics to champion our people analytics function and shape data-driven talent decisions. This is a high-impact, hands-on role where you will design, build, and deploy AI-augmented analytics products that drive workforce effectiveness and organizational performance. You bring deep HR domain fluency, a flair for compelling data storytelling, and proven experience turning complex workforce data into strategies that senior leaders actually act on. You will be a key partner to HRIS, IT, and global business leaders — sitting at the intersection of data engineering, business insight, and AI-powered tooling. What You'll Do Lead the full lifecycle of people analytics projects — from gathering stakeholder requirements to delivering scalable, validated, and actionable insights that guide business and talent strategy. Design, build, and deploy executive-ready analytics dashboards by leveraging AI and GenAI tools (including Claude) to rapidly prototype and implement custom web-based solutions — delivering intelligent, self-serve analytics experiences without the constraints of traditional BI platforms. Explore, prototype, and deploy AI powered analytics solutions to support workforce planning, attrition prediction, and people insights at scale. Partner with HRIS, IT, and business leaders to drive data integrity, governance, and seamless integration across core HR system

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role DevRev is hiring a Senior Product Manager for the Computer Data and Analytics Platform – a hands-on product leader who will own the trusted data foundation that makes Computer precise, useful, and safe across every experience. Computer should not merely report on work. It should understand customer, product, and operational context; reason across it; and help people and agents take the right action. The Computer Data and Analytics Platform makes that possible through a unified, governed, low-latency data layer that turns data from DevRev and connected systems into durable context for humans, applications, analytics experiences, and AI agents. You will define how data is captured, modeled, governed, queried, and activated across DevRev. The platform will support operational reporting and embedded analytics, while also enabling grounded, context-rich agentic conversations in Computer – helping users ask questions, investigate work, receive trusted answers, and take safe actions in the flow of work. This is a unique opportunity to build the foundation for an AI-native operating system – where customer context, product telemetry, structured records, events, and machine reasoning converge. What y

We are seeking an experienced and passionate BI Solution Architect to lead our Business Intelligence transformation initiatives. This role is responsible for: BI Practice Innovation Develop reusable accelerators. Optimize Power BI Service and workspaces—not just dashboards. Expedite the end-to-end development process, ensuring we do more with less. Lead programs that transform dashboard migration involving thousands of dashboards within a few months. Establish governance frameworks and best practices. Identify opportunities to automate repetitive BI development tasks. Build utilities using PowerShell, Power Automate, REST APIs, and Microsoft Fabric capabilities. Leverage AI-assisted development where appropriate. Explore Copilot and AI-driven features to improve productivity. Dashboard Modernization & Migration Lead migration of dashboards from legacy BI platforms such as Tableau, Qlik, Cognos, Business Objects, SSRS, MicroStrategy, and Excel to Power BI. Assess existing reporting environments and define migration strategies. Develop migration frameworks, templates, and automation utilities. Optimize migrated reports for performance, usability, and maintainability. Minimize business disruption during migration initiatives. Accelerator Development Design and maintain reusable accelerators that improve project delivery, including: Power Query transformation libraries Deployment automation scripts Report validation and testing frameworks Governance toolkits Metadata documentation generators Performance optimization checklists Migration accelerators Security and Row-Level Security (RLS) templates Continuously enhance accelerators based on project learnings and evolving best practices. Solution Architecture Design scalable enterprise Power BI solutions. Optimize DirectQuery, Import, Composite Models, and Hybrid Tables. Ensure solutions meet enterprise scalability, performance, and security requirements. Performance Optimization Diagnose slow reports and dataset

Airbnb 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. Description Airbnb 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 & 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 advanced analyst in our India Analytics team who works with the Fraud & Safety Delivery team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to product teams and business leaders, across marketplace teams through providing insig

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Customer Value Architect (CVA) team sits inside Mixpanel's Revenue organization and owns the connection between what customers buy and what they actually get out of Mixpanel. You'll work alongside an Account Executive (AE), who owns growth, new business, and expansion; a Renewal Manager (RM), who owns the commercial renewal; and a Delivery Engineer (DE), who owns technical implementation and data health — each with a clear lane, converging on the same outcome for the customer. About the Role This is not a build role, but real comfort with data is required. As a Customer Value Architect, you are accountable for adoption, value realization, and account health across a portfolio of existing Mixpanel customers, from onboarding through to a renewal-ready handoff. You own the value case and the adoption evidence that underpins both the Account Executive's expansion motion and the Renewal Manager's renewal — without ever owning pricing or the commercial negotiation yourself. Responsibilities • Own the onboarding outcome and time-to-value for your accounts: take the handoff from the Account Executive, partner with the Delivery Engineer on the technical build, and drive the customer to their first realized value. • Own the success plan for each account — map business objectives to specific use cases and set a measurable baseline at definition time, so value can be proven later. • Lead customer enablement and training (dashboard design, funnel analysis, retention modeling) to grow how deeply and widely a customer uses Mixpanel. • Build and maintain a network of champions and evangelists ac

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Customer Value Architect (CVA) team sits inside Mixpanel's Revenue organization and owns the connection between what customers buy and what they actually get out of Mixpanel. You'll work alongside an Account Executive (AE), who owns growth, new business, and expansion; a Renewal Manager (RM), who owns the commercial renewal; and a Delivery Engineer (DE), who owns technical implementation and data health — each with a clear lane, converging on the same outcome for the customer. At this level, you'll also help shape how the wider CVA team operates. About the Role This is not a build role, but real comfort with data is required. As a Senior Customer Value Architect, you are accountable for adoption, value realization, and account health across a portfolio of Mixpanel's existing customers — including the most structurally complex accounts, such as those going through a platform migration, re-implementation, or major workflow change, where the value motion and a genuine cross-functional program have to run in parallel. You own the value case and the adoption evidence that underpins both the Account Executive's expansion motion and the Renewal Manager's renewal, without ever owning pricing or the commercial negotiation yourself. You're also expected to extend your impact beyond your own accounts: mentoring, sharpening team playbooks, and representing the Customer Value Architect function in cross-functional account strategy. Responsibilities • Own the onboarding outcome and time-to-value for your accounts, including the most complex accounts in the book: take the handoff from the Account Exe

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Our Sales team manages the full sales cycle, helping prospects and existing customers leverage Mixpanel to analyse, measure, and improve their customer experience. The Enterprise team focuses on targeting and working with our largest organisations — 1,000+ employees — with an emphasis on high-growth technology companies who are changing the world around us. About the Role As a Senior Enterprise Account Executive, you’ll help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. You’ll focus on enterprise organisations across India, with an emphasis on high-growth technology companies in sectors such as Fintech, eCommerce, Media & Entertainment, and SaaS. Collaboration is key — from building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team. You’ll leverage your prospecting skills selling SaaS to technology companies alongside strong knowledge of Mixpanel’s product and ecosystem to close new business, powering the next generation of innovative Australian companies. This is a great opportunity for an experienced enterprise seller who thrives in complex, multi-stakeholder sales cycles and wants to play a visible role in building Mixpanel’s presence across the India market. Responsibilities Generate new business opportunities by selling directly to top-tier digital analytics decision-makers, including C-level executives and other key stakeholders across India and South Asia Manage 6–18 month sales cycles, including a

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable

Role – Deputy Director - Talent Acquisition (Non-Tech Hiring) Reports to – Head of Talent Acquisition About the Role In this leadership role, you will take complete ownership of the non-tech talent acquisition function. You'll develop and implement comprehensive recruitment strategies, manage and coach a team of recruiters, and ensure a seamless and data-driven recruitment experience for all hiring managers. With your deep industry knowledge and expertise, you'll be a trusted advisor, shaping the future of our non-tech workforce. Responsibilities: Strategic Leadership: Develop and implement a comprehensive talent acquisition strategy for all non-tech functions, aligned with the company's overall business goals. Partner with senior leadership across the organization to understand talent needs and identify future talent requirements. Partner with branding teams to develop and implement an employer branding strategy to attract top talent in the non-tech space. Oversee the performance and development of a high-performing recruitment team, providing coaching and mentorship. Recruitment Management: Manage the entire recruitment lifecycle for senior and niche non-tech positions, including designing and executing search strategies, sourcing top talent, and leading the interview process. Foster a strong relationship with external recruiting partners to optimize talent acquisition efforts. Data & Analytics: Implement a data-driven approach to recruitment, analyzing metrics and identifying areas for improvement. Develop and maintain talent maps for critical non-tech roles. Utilize data to inform strategic decision-making and influence hiring discussions. Candidate Experience: Champion a positive candidate experience throughout the recruitment process, ensuring timely communication and feedback. Design and implement interventions focussed on driving a strong positive candidate experience Project Management: Lead the development and implementation of talent acquisition-relat

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Brief We are looking for a Product Analyst to join our product team and support data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, user behavior, and key metrics to improve customer experience and drive product growth. You will work closely with Product Managers, Engineering, Design, and other stakeholders to translate data into actionable product insights. Key Responsibilities * Analyze product performance, user behavior, and feature adoption to identify optimization opportunities * Define, track, and monitor product KPIs such as engagement, retention, conversion, and growth * Build and maintain dashboards and reports using spreadsheets, SQL, and BI tools * Partner with Product Managers to support roadmap prioritization and feature impact analysis * Conduct funnel, cohort, trend, and root-cause analysis * Support product launches by defining success metrics and performing post-launch analysis * Analyze product ratings, reviews, and customer feedback to inform product improvements * Drive small to medium-scale analytics initiatives end-to-end * Collaborate with cross-functional teams to present insights and recommendations * Benchmark products against industry trends and best practice*s Required Qualifications * Bachelor’s degree in Business, Economics, Mathematics, Engineering, Computer Science, or a related field; Master’s degree preferred * 3-5 years of Proven experience in a Product Analyst or product-focused analytics role * Strong proficiency in SQL and working with relational databases * Strong experience with spreadsheet-based analysis and da

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is moving from an application-centric world to a data-centric one — where AI depends on trusted, well-governed, and contextualized data across the business. As part of this shift, we're looking for a Staff Analyst, AI & Automation to lead the technical build of AI and applied ML capability inside the analytics function. This is an individual contributor role — you will not manage people. Your leverage comes from what you build and ship: AI agents, applied ML models, and automated analytics workflows that change how insight gets produced, working closely with cross-functional teams to bring these to life. AI is changing by the week, not by the year. We're not looking for someone who adopts AI once it's already mainstream — we want someone who is naturally ahead of the curve: scanning what's new, testing it quickly, and bringing it into the team before it's obvious to everyone else. This role has real freedom to experiment, rethink existing approaches, and change course as the field moves. WHAT YOU'LL DO Own the technical build of AI-powered analytics tools — including RAG pipelines, LLM-assisted querying, agent workflows, and applied ML models. Our current stack includes Glean, Gemini, Claude Code and Snowflake Cortex, and we expect that to change; we care more that you pick up new tools quickly than that you already know ours. Apply data science methods (forecasting, segmentation, anomaly detection, c