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Analytical Engineer Salary India Jobs

2,438 active opportunities · Updated for October 2026

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Explore current analytical engineer salary india jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Instacart
📍 BC, Canada• Full-time• Remote• From C$133K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu Instacart Business (inclusive of Instacart Health) is scaling fast, and our commercial teams, leadership, and external partners need reliable, high-quality data to keep pace with it. We're hiring a Business Insights Lead to own this end to end — building the reporting infrastructure, analytical frameworks, and insights delivery that turn raw data into decisions. This role sits at the intersection of data, strategy, and commercial execution: you'll be the go-to analytical partner for internal leadership and the single point of accountability for external partner reporting. A year from now, GTM leaders will trust the numbers, partners will get consistent and timely reporting, and the business will have a repeatable system for surfacing growth opportunities before they're obvious. What you'll cook up in your first year A reporting system G

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I
Instacart
📍 United States• Full-time• Remote• From $153K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu Instacart Business (inclusive of Instacart Health) is scaling fast, and our commercial teams, leadership, and external partners need reliable, high-quality data to keep pace with it. We're hiring a Business Insights Lead to own this end to end — building the reporting infrastructure, analytical frameworks, and insights delivery that turn raw data into decisions. This role sits at the intersection of data, strategy, and commercial execution: you'll be the go-to analytical partner for internal leadership and the single point of accountability for external partner reporting. A year from now, GTM leaders will trust the numbers, partners will get consistent and timely reporting, and the business will have a repeatable system for surfacing growth opportunities before they're obvious. What you'll cook up in your first year A reporting system G

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R
1mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals! As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per w

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Coinbase
📍 Bengaluru• Full-time• Hybrid• From ₹27.6L/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We are seeking Capacity Planning Lead to join Coinbase's Consumer (CX) Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our consumer support operation meet customer demand efficiently and cost-effectively. The ideal candidate brings deep WFM domain expertise, strong analytical fundamentals, and the ability to operate with ownership and precision in a fast-moving, AI-informed planning environment. You'll work at the intersection of forecasting, operations, and cross-functional stakeholder collaboration to ensure CX is always staffed to deliver a high-quality customer experience. What you’ll do: Own forecasts and short-range capacity plans across multiple consumer support queues and markets, translating volume, AHT, and shrinkage trends into staffing requirements and coverage plans Use hybrid human–AI tooling to build and maintain capacity models that reflect the growing complexity of our support channels and workforce structure Create multi-scenario staffing plans that model trade-offs between Customer Experience/Service Levels, Employee Experience, Operational Flexibility, and Cost Effectiveness Partner with vendor management and BPO partners to ensure staffing targets and contractual SLAs are met at the interval level C

sqlawsai
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Coinbase
📍 - USA• Full-time• Remote• From $207.5K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: Own end-to-end pricing experimentation, from test design through analysis and recommendation Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and

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Coinbase
📍 - USA• Full-time• Remote• From $201.4K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Finance & Strategy Manager on the Core FP&A team, you'll provide CFO-level financial partnership to critical support functions across Coinbase, including People, Legal, Compliance, Policy, and Finance. This team sits at the center of company-wide resource allocation, investment strategy, and long-term financial planning. You'll partner directly with multiple C-level executives and their leadership teams to shape how Coinbase deploys capital and scales its operations, while leading and developing a team of finance professionals. What you'll do: Own the financial health of multiple major functional areas, serving as the primary finance partner to 3+ C-level executives and their leadership teams on resource allocation, investment strategy, and long-term planning. Drive the vision for how Finance partners with the business by identifying and implementing new analytical frameworks, efficiency opportunities, and operational improvements. Lead and develop a team of finance professionals, setting clear performance expectations and building a culture of strategic thinking and continuous improvement. Partner cross-functionally with People, Legal, Compliance, Policy, and Finance leadership to align on budgets, forecasts, headcount planning, and strategic priorities. Shape company-wide investment decisions by building financial models, scenario analyse

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C
Coinbase
📍 United States• Full-time• Remote
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As the Senior User Researcher on the Advanced Trade team within the Consumer & Business group, you'll be the dedicated research voice for Coinbase's most sophisticated traders. The Advanced Trade team builds and improves trading experiences for high-volume, analytical traders, competing directly with top global exchanges. You'll generate deep user empathy through mixed-methods research, directly shaping roadmap prioritization, feature design, and scalable research programs that keep the entire team embedded in trader needs. What you’ll do: Lead the UX research function for the Advanced Trade team, partnering closely with Design, Product, and Data to turn user insights into actionable product ideas and measurable impact. Conduct mixed-methods research, including interviews, usability testing,

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Lyft
📍 Montreal• Full-time• From C$88K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are a world leader in micromobility: providing the complete system that powers BIXI (in Montreal greater area), Quebec city (ÀVélo), and we operate bikeshare in New York (Citi Bike), Chicago (Divvy), San Francisco (Bay Wheels), Portland (Biketown), Boston (BlueBikes), and DC (Capital Bikeshare). Our hardware and software is used in over 45 markets internationally to power bike and scooter systems. We are looking for an entrepreneurial and passionate Product Manager to join our Montreal or Longueuil office to grow our international Enterprise business. As the Product Manager for Enterprise Software, you will drive the development of new features on LUS’s full-stack micromobility platform. You will work on designing, implementing, and delivering features with a cross-functional software team, in close collaboration with other teams across LUS including hardware and software. You will collaborate with our commercial team to understand future opportunities, and ensure we have the right product line up for meeting our growth objectives. To support our broad existing customer base you will thrive at triaging & prioritizing customer requests by proposing the most scalable and reusable solutions. This is an opportunity for international impact, working on a fast-developing, city-transforming product with substantial corporate momentum and support. In this role, you will bring creative, strategic, and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. The ideal candidate can navigate complex technical topics, strategic problem solving,

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Lyft
📍 Toronto• Full-time• From C$79.6K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Senior Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role sits at the center of forecasting and capacity strategy for our global support organization, translating complex operational and business signals into clear, actionable plans. You'll partner closely with operations leadership to keep resourcing aligned with the business, separating what truly matters from the noise, and helping shape decisions that affect how we staff and scale support. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track

pythonsqlai
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Lyft
📍 Toronto• Full-time• From C$96K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 50+ global markets including Montreal, Toronto, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year. Data and analytics are at the heart of Lyft's products and decision-making. You will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from pricing and product features to long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues and propose solutions Develop frameworks, business logic and scalable processes to streamline reporting and drive decision-making Forecast operational requirements and investments needed to

pythonsqlai
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Lyft
📍 San Francisco• Full-time• $128K – $160K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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Lyft
📍 Toronto• Full-time• From C$83.8K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products, driving top business goals around financial metrics and marketplace performance. The team develops and improves automation & execution of driver earnings products, develops new earnings products, and manages financial performance of these products to manage the growth of the business. We are looking for an analyst to join the team that is responsible for working with cross-functional stakeholders to analyze and improve existing earnings products and manage the products’ financial outcomes within the broader Marketplace organization. You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We’re looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving. Responsibilities: Support marketplace operations to provide world-class analysis, product recommendations, and reporting to stakeholders. Become an expert in marketplace trends and support weekly reporting structures for the Rideshare organization. Develop domain-specific subject matter expertise in our lever portfolio and support cross-functional initiatives to improve existing products and develop new ones. Analyze marketplace product & financial levers and provide cross-functional teams with actionable insights on improvements and problem areas. Operate within Rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities. Prepare regular business reviews for leadership, highlighting key areas of focus. Work with stakeholders and other teams to track, report, and r

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Lyft
📍 New York• Full-time• $128K – $160K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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Lyft
📍 Toronto• Full-time• From C$90K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting

sqlairust
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Twitch
📍 San Francisco• Full-time• From $992.4K/yr
1mo ago

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Community Trust (CT) exists to foster an environment where streamers and their communities thrive, while proactively reducing harm and ensuring support is accessible when needed. Our organization encompasses safety policy & enforcement, fraud prevention, and customer experience. Within Customer Trust, the Strategic Intelligence & Governance (SIG) team is the strategic and enablement backbone of the department, where we ensure the business is set up correctly, measure whether it's working, surface insights to drive decisions, and provide the tools that power CT's day-to-day operations. The Business Intelligence function owns CT's data infrastructure, dashboards, financial analysis, and operational reporting, ensuring leadership has the insights they need to make informed decisions across the organization. About the Role As the Business Intelligence Program Manager, you will join a small, high-impact team responsible for CT's data infrastructure, operational reporting, analytical insights, and dashboards. You will translate operational data into clear insights that help leadership and partners make informed decisions across Trust & Safety (T&S) and Customer Experience (CX). You will also be responsible for CT’s financial operations, including operational expenses, work

sqlrestai
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