Business Analytics Analyst in India

About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Offices: New York | Dallas | San Francisco | Lima | Bengaluru. The role below is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle complex business problems and convert them into straightforward data solutions. You will work in a fast-paced, high-impact environment and help shape data, analytics, and AI-led transformation for leading global insurance enterprises. About the Role: Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our insurance practice with a strong focus on insurance analytics and AI-led transformation. The role requires a strong portfolio leader responsible for managing strategic accounts across new business development and account growth, while partnering with senior client stakeholders to define analytics use cases across Data Engineering, Data Science, Product Engineering, and Consulting. Roles and Responsibilities: Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics Insurance Operations - Ability to

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 About team : DevicesTech is a strategic and critical center of technology within the Paytm payments vertical that builds scalable payment solutions to offer a secure & seamless payment experience to millions of users with devices ranging from the versatile flagship devices - All-in-One POS and Soundbox to the small yet powerful - Linux POS. The EDC machines accept all payment methods(All debit and credit cards, Paytm wallet, net-banking, All UPI apps) using our range of Paytm devices. The IoT devices support innovative payment workflows to prevent frauds and increase overall engagement of the merchants and consumers. Millions of devices are deployed in the country from large store chains to smaller merchants with an aggressive market focus accomplishing very fast growth. This scale is made possible with the underlying core technology platform built by the Devices Tech team that is scalable with robust security and a highly accurate transactional system with safe money movement. The Devices Tech builds and owns a mix blend of EDC and IoT(Internet of Things) middleware services powered by several Java microservices, mix of Sql and NoSql databases, distributed architecture on cloud with many AWS managed and self manages tools and services, and inhouse devices SDKs built by our Android and Embedded System team. About the Role: We are looking for a highly analytical and business-oriented Subscription Growth Manager to drive recurring revenue, retention, collections, renewals, and merchant lifecycle management for the Soundbox subscription business. The role will be responsible for owning subscription revenue performa

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We’re looking for a Marketing Analytics Manager who will own the strategy and optimization of marketing performance reporting across the organization. This role goes beyond dashboard creation—you’ll act as a strategic partner to marketing and leadership, translating data into actionable insights that drive pipeline growth and improve campaign performance. You will define how success is measured across the marketing funnel, proactively identify trends and opportunities, and ensure the organization has a clear, consistent view of performance. You will partner closely with Marketing, RevOps, and data teams to enable scalable analytics solutions and trusted reporting. Analytics Strategy & Ownership Own the end-to-end marketing analytics strategy, including defining KPIs, establishing reporting frameworks, and standardizing measurement approaches across the funnel Establish and govern a consistent source of truth for marketing performance across channels, segments, and funnel stages Define success metrics tied to pipe

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44281

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44282

Experience Level: 2–4 Years Location: Noida Department: Human Resources / Talent Acquisition Position Overview We are looking for a data-driven HR Analytics Specialist to join our Talent Acquisition (TA) team. In this role, you will bridge the gap between raw recruitment data and strategic decision-making. You will be responsible for building dynamic dashboards, tracking key recruitment metrics, and translating complex data into compelling stories for senior stakeholders.If you love diving into Excel, automating workflows with modern AI tools, and helping talent teams recruit smarter and faster, we want to hear from you! Key Responsibilities Data & Dashboard Management: Design, build, and maintain automated TA dashboards and trackers to monitor key metrics (e.g., Time-to-Hire, Cost-per-Hire, Source Effectiveness, Pipeline Velocity, and Offer Acceptance Rates). Process Automation: Actively identify manual bottlenecks in recruitment reporting and aggressively push for and implement automated solutions wherever required to drive team efficiency. Stakeholder Reporting: Prepare and deliver clear, high-impact presentations and reports for leadership and hiring managers to guide strategic hiring decisions. Predictive & Trend Analysis: Identify trends, bottlenecks, and opportunities within the recruitment funnel to optimize the candidate journey and recruiter productivity. Data Hygiene: Audit and maintain the integrity of recruitment data across our Applicant Tracking System (ATS) and internal databases. Tech Optimization: Leverage Excel and cutting-edge AI tools to automate repetitive reporting tasks, synthesize data summaries, and improve predictive analytics capability. Required Skills and Qualifications Experience: 2 to 4 years of experience in HR analytics, people analytics, or business intelligence (specifically supporting a Talent Acquisition or Recruitment function is a massive plus). Advanced Excel Skills: Mastery of advanced Excel functions is non-negotiable

About the Team Would you like to be part of creating a unicorn within a unicorn? Solve some of the biggest challenges facing financial inclusion of Bharat? Well, then here's your chance! Financial Services (FS) is one of the biggest new bets we are taking at Meesho on the next 10x horizon opportunity for us. Just as Ant Financial did for Alibaba, and Mercado Pago did for Mercado Libre, our vision is to build financial services for Meesho, becoming our key growth and revenue driver. We have found our Product-Market Fit, built and proved 0-1 and 1-10 journeys. Now looking for someone who can be the founding member of a 10-100-1000 journey, and this is possibly one of the most exciting and enriching experiences one could consider in their career. About the Role Meesho FS runs two lines of business: SME Lending, which offers Business Loans, and User Lending, which offers BNPL and Personal Loans (PL). User Lending is now our primary focus in this phase of our FS journey. We have 274Mn ATU, and risk management is at the core of building any sustainable credit business at scale - our being a captive audience means both Growth and Risk are an outcome of underwriting, which is owned by the Risk team. Herein also lies one of our biggest challenges: how do we assess the risk of borrowers without any credit history or income data? How can we leverage alternative information to better profile borrowers? How can we leverage our platform uniquely to create a sustained competitive advantage? This person will be responsible for driving the analytics behind these questions for User Lending - creating analytical frameworks, developing high quality analysis, driving insights and actions, and recommending policy decisions, across a well-established BNPL portfolio and a Personal Loans portfolio that is still scaling. Your role will focus on: Owning the risk for one or more segments of the portfolio while maintaining a healthy growth. Analyzing credit policies using Meesho platform data,

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. The Community You Will Join 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, experimentation, 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 Difference You Will Make ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. A Typical Day Design and build metrics / dimensions to monitor product and business performance. Build sophisticated reporting, analytical tools, and dashboards that emp

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role The future of analytics isn't dashboards. It's intelligent systems that anticipate questions, surface insights, and help people make better decisions. We're looking for a Senior Analytics Engineer to help build that future at Pearl. In this role, you'll design and develop AI-powered analytics experiences that combine trusted enterprise data with modern AI capabilities, enabling business users to interact with data conversationally and uncover insights faster than ever before. You'll build production AI agents, create scalable semantic data models, develop intelligent analytics applications, and establish best practices for responsible AI across the Analytics organization. Working closely with Product, Engineering, and business leaders, you'll turn emerging AI technologies into real business capabilities that improve decision making across the company. This is an opportunity to help define how AI transforms analytics at Pearl while working on some of the most exciting technologies in data, LLMs, and agentic AI. What You’ll Do Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making. Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language. Build semantic data models and reusab

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission in optimizing incentive compensation plans for all companies . They wo rk directly with our customers in helping them understand and take advantage of all the sales compensation features Forma.ai offers . F rom streamlining administration and management of sales commission to designing your sales compensation plan , o ur Customer Operations team ensur es customers get the most value from our platform in optimizing every dollar spent on sales compensation. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Analytics Manager will contribute in the following areas: Develop a strong understanding of the Forma.ai product and platform to establish yourself as a product expert Lead the ongoing operations for a portfolio of customers (i.e., commissions rule building, process execution, reporting and dashboarding, and overall product support) Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes Lead design projects, including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings

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. The Community You Will Join 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, experimentation, 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 Difference You Will Make ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. A Typical Day Design and build metrics / dimensions to monitor product and business performance. Build sophisticated reporting, analytical tools, and dashboards that emp

About Us Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives. This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform. The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases. This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions. Key Responsibilities 1. Analytics Strategy, AI Vision & Business Impact · Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals. · Translate business problems across acquisition, activation, trading behavior, retention,

Paytm Money is building the next generation of wealth management and investment products for India. As a Growth, Process & Data Specialist at the, you will sit at the intersection of analytics, CRM, and growth strategy - owning the data infrastructure and intelligence layer that powers our user acquisition, engagement, and retention campaigns. This is a high-ownership, cross-functional role where you will independently drive cohort analytics, campaign attribution, CLTV modelling, and business review reporting, while acting as the primary bridge between the CRM and Data teams. Key Responsibilities - Own end-to-end cohort analytics across the user lifecycle - acquisition, activation, engagement, and churn - and translate insights into actionable growth strategiesDesign and maintain user scoring models (engagement, propensity-to-invest, churn risk) to enable intelligent segmentation and personalised CRM campaignsBuild and manage data pipelines and Looker Studio dashboards to provide self-serve reporting for growth, CRM, and leadership teamsDevelop and iterate on multi-touch campaign attribution models and Customer Lifetime Value (CLTV) frameworks to measure ROI and guide retention investmentDefine audience segments, trigger logic, and data contracts for CRM automation tools (Seller Panel / CleverTap or equivalent) to enable precise, data-driven campaign executionCreate and own structured PowerPoint decks for weekly, monthly, and quarterly business reviews - synthesising data into crisp narratives for leadership and cross-functional stakeholdersDrive standardised processes for campaign planning, data QA, A/B test design, and performance reporting across the growth function Who We're Looking For 3–6 years of experience in growth analytics, CRM analytics, or a data specialist role, preferably in fintech, consumer internet, or BFSI Strong hands-on proficiency in SQL & dashboards, with demonstrated experience building cohort analyses, funnel analytics, and behavioural se

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: • Work with new and existing customers to implement the company's new platform features as well as manage and optimize client processes • Learn the architecture and design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests • Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control • Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) • Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility • Support design projects including analysis, financial modelling, project planning, customer workshops

Role Overview Help organizations turn governance, risk, and compliance (GRC) goals into measurable business value. As a Client Success Advisor, you’ll guide key clients in configuring, adopting, and optimizing a GRC platform—strengthening retention, uncovering expansion opportunities, and helping teams work more effectively. You’ll combine GRC expertise, advisory skills, and a strong understanding of client needs to shape practical solutions, improve platform usage, and build lasting partnerships. Your work will influence client outcomes while contributing valuable insights to internal product and go-to-market teams. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Advise clients on configuring, customizing, and optimizing GRC platform functionality to support their business processes and objectives. Assess client requirements, challenges, and goals, then recommend tailored solutions that deliver measurable value. Partner with clients on governance, risk, and compliance roadmaps, translating priorities into effective platform implementations. Drive adoption across the platform and its modules, identifying engagement risks and helping clients increase usage. Help clients identify and implement practical analytics use cases that improve automation, exception management, and reporting. Collaborate with Product, Customer Success, Support, and Sales teams to improve solutions based on real-world client needs. Monitor regulatory developments, industry trends, and emerging GRC best practices to provide proactive, trusted advice. These are the essentials you’ll need to get an interview 5–7 years of experience in a client-facing role within audit, risk, compliance, or a related GRC environment. Strong knowledge of GRC concepts, regulations, industry standards, and software platforms. Experience translating audit, risk, compliance, or business questi