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Functional Analyst Digital Assets Jobs

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Explore current functional analyst digital assets jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Perplexity
📍 San Francisco• Full-time• Remote• $210K – $240K/yr
2mo ago

Perplexity is seeking a GTM Strategy & Operations Lead to join our Enterprise team. In this role, you will own the analytical and operational foundation of our sales organization, working directly with the VP of Sales and front-line sales leaders across all of our sales motions. This role is ideal for a hands-on operator who has helped a sales organization grow through its messiest stages and wants to build the planning, forecasting, and performance infrastructure for one of the fastest-growing enterprise businesses in AI. This is an individual contributor role reporting to the VP of Sales Responsibilities Run the GTM operating cadence, including weekly pipeline reviews, forecast calls, and quarterly business reviews, owning both the underlying data and the narrative Build and own the sales forecasting process, giving leadership an accurate and defensible view of the quarter Design and maintain territory and segment models across all sales motions, and own the territory carve process Build sales capacity, coverage, and quota models that connect hiring plans to revenue targets Own performance reporting across the funnel: conversion, pipeline health, rep productivity, attainment, and ramp Conduct strategic analyses to identify where the business is working and where it is not, and turn findings into clear recommendations for sales leadership Drive high-priority cross-functional GTM initiatives, from annual planning through execution Partner with Sales, Marketing, Customer Success, and Strategic Finance to keep the go-to-market plan grounded in shared data Qualifications Significant experience in GTM strategy, sales operations, revenue operations, or a similar function at a high-growth company, with direct exposure to what breaks as a sales team scales and a record of fixing it Strong SQL and hands-on analytical skills; you pull your own data and build your own models rather than waiting on analyst support Deep familiarity with Salesforce and experience working dir

REMOTEsqlaisalesforce
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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 the Team: We are the Central Data and AI Product team, responsible for building and managing the analytical products and datasets that power decision-making across Paytm. We’re rebuilding how analytics gets done at the company. As a central product team, we drive the build and adoption of our data platform in close partnership with consumer teams across business verticals (Online Payments and Offline Payments) and functions (Growth, Risk, Data Science). About the Role: This is a senior Data Product Management role for someone who enjoys marrying business analytics problems to simplified data design solutions. You will own a portfolio within the Central Data and AI Product charter, lead a small, high-leverage team (1–2 PMs and 1 analyst), and partner with engineering and business stakeholders to ship products that scale across the organisation. Key Responsibilities: * Lead and grow a team of product managers and analysts (1–2 PMs and 1 analyst) — hiring, coaching, performance management, and career development. * Drive the end-to-end data product development lifecycle — from discovery and scoping through delivery, adoption, and iteration. * Define and articulate the product vision, strategy, and roadmap in alignment with company goals and market trends. * Partner with cross-functional teams — business, growth, risk, and data science — to understand customer needs and align product offerings to work cleanly with agentic analytical workflows. * Work closely with engineering on technical design, development, sprint planning, and prioritisation across our stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset) —

sqlawsai
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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 the Team: We are the Central Data and AI Product team, responsible for building and managing the analytical products and datasets that power decision-making across Paytm. We’re rebuilding how analytics gets done at the company. As a central product team, we drive the build and adoption of our data platform in close partnership with consumer teams across business verticals (Online Payments and Offline Payments) and functions (Growth, Risk, Data Science). About the Role: This is a senior Data Product Management role for someone who enjoys marrying business analytics problems to simplified data design solutions. You will own a portfolio within the Central Data and AI Product charter, lead a small, high-leverage team (1–2 PMs and 1 analyst), and partner with engineering and business stakeholders to ship products that scale across the organisation. Key Responsibilities: * Lead and grow a team of product managers and analysts (1–2 PMs and 1 analyst) — hiring, coaching, performance management, and career development. * Drive the end-to-end data product development lifecycle — from discovery and scoping through delivery, adoption, and iteration. * Define and articulate the product vision, strategy, and roadmap in alignment with company goals and market trends. * Partner with cross-functional teams — business, growth, risk, and data science — to understand customer needs and align product offerings to work cleanly with agentic analytical workflows. * Work closely with engineering on technical design, development, sprint planning, and prioritisation across our stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset)

sqlawsgit
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Outreach
📍 United States• Full-time• Remote• $70K – $110K/yr
8mo ago

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team The Customer Advocacy team you would lead is part of the broader Corporate Marketing team, which is focused on driving awareness, credibility, and presence among customers, prospects, partners, analysts, and influencers. This dynamic team is comprised of many functions, including communications, customer advocacy, and analyst relations. We serve different roles, but we all work together to amplify the Outreach brand. The Role At Outreach, our customers are our best advocates and most important asset. Do you love getting to know customers, what matters to them, and creating impactful programs that amplify their voice? We're looking for a dynamic Customer Advocacy Manager to join our corporate marketing team and drive advocacy throughout our customer base. This is a high-impact, highly cross-functional role where you'll blend creative storytelling, relationship building, and strategic program design to drive measurable business outcomes. In this role, you will be responsible for the day-to-day management of our customer advocacy and reference program. Partnering with sales, marketing, customer success, and product teams, you will identify, curate, and amplify impactful customer experiences that elevate both our customers and our brand. AI is ch

REMOTEaiSAPrecruitment
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Stripe
📍 San Francisco• Full-time
8mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Bridge is creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper than SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. The Stripe Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom-line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long-term financial performance. This role will partner closely with Bridge, a small team of people experienced in building financial infrastructure at leading companies. What you'll do We are looking for a Strategic Finance Partner who combines the rigor of a trained financial analyst with the technical self-sufficiency to answer complex business questions independently. This is a high-ownership, high-exposure role. You will own business forecasting, pricing analytics, and cross-fu

sqlaiswift
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Lyft
📍 Toronto• Full-time• From C$96K/yr
9mo 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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Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

accountingfinance
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Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

accountingfinance
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Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

accountingfinance
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C
23 days ago

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

accountingfinance
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Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

accountingfinance
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Zynga
📍 Barcelona• Full-time
4mo ago

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: We’re looking for a Principal Data Analyst to join our Analytics team. In this senior role, you’ll be a key partner to our game teams, shaping product strategy and driving impactful data-driven decisions that improve our games, boost player engagement, and fuel business growth. You’ll combine deep quantitative analysis, business acumen, and technical expertise to uncover insights that matter. As a Principal, you’ll also help elevate analytics standards across the company, mentor analysts, and champion a culture of data-informed decision-making. What You'll do: Help Shape the Game Strategy: Be a part of the development of data-driven strategies for top games, influencing product roadmaps, features, and monetization. Player & Product Insights: Partner with cross-functiona

pythonsqlgit
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Z
Zynga
📍 Barcelona• Full-time
2mo ago

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: We’re looking for a Principal Data Analyst to join our Analytics team. In this senior role, you’ll be a key partner to our game teams, shaping product strategy and driving impactful data-driven decisions that improve our games, boost player engagement, and fuel business growth. You’ll combine deep quantitative analysis, business acumen, and technical expertise to uncover insights that matter. As a Principal, you’ll also help elevate analytics standards across the company, mentor analysts, and champion a culture of data-informed decision-making. What You'll do: Help Shape the Game Strategy: Be a part of the development of data-driven strategies for top games, influencing product roadmaps, features, and monetization. Player & Product Insights: Partner with cross-functiona

pythonsqlgit
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Leidos
📍 Gaithersburg• $87.1K – $157.5K/yr
8 days ago

Help ensure Intelligence Community analysts and mission operators have reliable, secure software they can depend on to make critical decisions and execute national security missions. Leidos is seeking a detail-oriented, mission-focused Mid-Level Test Engineer to support the Chinook program for an Intelligence Community (IC) customer. In this role, you'll help ensure mission-essential applications function as intended, deliver accurate information, and perform reliably when our customers need them most. By identifying defects before software reaches operational environments, you'll directly contribute to reducing mission risk, improving system reliability, and enabling intelligence professionals to execute their responsibilities with confidence. As an integral member of a collaborative Agile development team, you'll take a hands-on approach to software quality through manual functional testing, comprehensive test planning, detailed test procedure development, and API validation. You'll work closely with software developers, product owners, and mission stakeholders to translate requirements into effective test scenarios, uncover complex defects, and ensure new capabilities meet both functional requirements and operational expectations. If you're passionate about solving problems, enjoy digging into software to uncover issues others might miss, and want your work to directly support critical national security missions, this is an opportunity to make a meaningful impact. Position may be performed in the following locations below. Please note Gaithersburg, MD is the program’s primary work location. Gaithersburg, MD Alexandria, VA Chantilly, VA Englewood, CO St. Louis, MO <l

sqlawslinux
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DC
DoorDash Canada
📍 Toronto• C$114K – C$142.5K/yr
18mo ago

About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term t

pythonsqlmachine learning
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