Data And Monetization Analyst Jobs

tl;dr Wielding both "business" and "data" skills, you conduct projects from A to Z in order to transform our clients' businesses. Our working language is English, but it's always easier when you speak the local language(s) ;) The team The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... Manage projects as well as leading our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or a true versatile player. Mission As a data consultant, you will be conducting projects from A to Z to accompany the transformation of our clients’ businesses. It will be up to you and the team will be defining the clients' needs, and the strategy or the solution to be implemented to solve their problem and meet their objectives. You will manage the implementation project of said solutions, sometimes by good old sliding, sometimes by writing a few lines of SQL codes, if you are up to it! You will be a representative of Artefact in business proposals, but also a contributor to our business-relevant contents. The potentials are endless. Desirable skills In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business ... or that's how you see yourself in the near future, contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: W

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a data-driven and collaborative Lead Digital Technology & Marketing Analytics professional to help transform data into actionable business insights across digital, marketing, operations, and enterprise functions. In this role, you’ll work closely with stakeholders across digital marketing, customer service, operations, engineering, R&D, and IT to support the integration, management, and analysis of data from a variety of sources. You will be responsible for developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions that enable business users to make informed decisions and support strategic initiatives. Partnering with centralized data and technology teams, you’ll help define data architecture, manage data pipelines, validate datasets, develop data models, and support data governance best practices across the organization. As a key member of the analytics function, you will drive adoption of analytics tools through user training and enablement, collaborate on prioritizing business requests, and contribute to test-and-learn initiatives including A/B testing and incremental analysis. Your ability to identify trends, uncover opportunities, and communicate insights clearly will play a critical role in advancing data-driven decision making across the business. What You Bring · Bachelor’s degree in Data Science, Computer Science, Business, Econo

Summary We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products. About the opportunity As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams’ initiatives, as well as help drive the strategy of your business segment. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers. In this role, you will: Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions. Evaluate initiatives: Support Product experimentation & A/B testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication. Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product and business teams can interact with data and extract the right insights themselves. Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs. Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture. Be part of our data-community: Collaborate with a broad range of analytics t

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData is becoming the default intelligence platform for anyone evaluating companies and markets. Systematic Data Products & Feeds

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non technical partners to turn complex recruiting processes into reliable datasets, dashboards, and operational tools. The ideal candidate enjoys working at the intersection of data engineering and business operations. You will be expected to understand how recruiting workflows generate data and build practical solutions that improve day to day operations. This role is well suited for someone who can move fluidly between building a pipeline, debugging an integration, creating a dashboard, documenting an operating procedure, and helping stakeholders understand how to use the resulting tool. Core Responsibilities Build, maintain, and improve datasets and pipelines supporting Recruiting Integrate data from systems such as Lever, Workday, Foundry, and other recruiting systems Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits Evaluate existing data integrations for opportunities to reduce latency and implement necessary changes Partner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrations Support integrations between recruiting systems and internal tools including writeback of data updates Design data access and reporting solutions that respect confidentiality, role-b

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Client Success Strategy and Operations Senior Analyst. Addepar is looking for a driven and adaptable professional to join our Client Success Strategy & Operations team. In this role, you'll help define and optimize how our Client Success and Services organization operates. You'll develop recommendations and solutions that bridge the gap between our client success vision and the people, processes, and systems that deliver on it day to day. You'll work cross-functionally across CS, Services, Sales, and R&D to drive alignment and ensure our clients are set up for long-term success. This is a dynamic role ideal for someone looking to combine strategic thinking with hands-on operational execution in a high-growth SaaS environment. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Bring analytical rigor and creative problem-solving to Client Success operations, developing strategies and operational frameworks to improve health scoring, net revenu

JOB TITLE Senior Data Engineer, Proprietary Research A CAREER WITH POINT72’S PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build Data & AI Platform to transform structured and unstructured data into actionable insights. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools that help extract the most value out of Point72’s data assets. In this role, you will: • Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets. • Develop reusable software components, libraries, and APIs to support experimentation and production deployment. • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant. • Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies. • Optimize system performance, cost, and reliability through benchmarking and continuous improvement. • Explore emerging Data and AI technologies, run proof of co

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Senior Software Engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll join a talented full-stack team of engineers and work on distributed services that are used across the entire ADM engineering stack. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code. Independently deliver high-value projects from design through delivery. Collaborate with product managers on product requirements iterations, design feasibility and user feedback. Learn and promote best engineering practices. Document software functionality, system design, and project plans. Mentor junior engineers, provide clear and constructive guidance Collaborate with engineers and stakeholders from other teams to resolve technical issues or coordinate dependencies Who You Are Bachelor’s degree in Computer Science or equivalent experience

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers. What You’ll Do Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions. Responsibilities Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience. Be responsible for the full machine learning

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. As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including: How do we improve the quality of our map data in order to improve our recommendations? How do we benchmark and measure the success of our services? How do we validate features of the real world that affect our routing algorithms? Are we meeting our travel estimation promises to our customers? Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, as well as rider and driver experience Identify and drive impact and alignment, shaping product and business strategy

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData is building the default intelligence platform for anyone evaluating companies and markets. Our data feeds are central to that a

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role An ADM Solutions Consultant is responsible for facilitating the onboarding and implementation process for Addepar ADM (Alternatives Data Management). In this role you will work directly with Addepar clients guiding them through the process of onboarding alternatives data through the ADM solution. Your responsibilities will include leading ADM projects through client management, project management, solution design (where applicable), etc. Additionally, you will be responsible for ensuring the ADM solution is compatible with a client's existing Addepar solution and if not develop the necessary plan to solve for any gaps. The ideal candidate has relevant experience in a related financial domain as well as consulting, project management and technology. An ADM Solutions Consultant is expected to display a strong sense of self-reliance, leadership qualities as well as the ability to collaborate with other Addepar teams including our Data, Product, Client Management, and Sales teams. They must possess a deep understanding of our target markets and the clients we serve. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clie

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 and analytics are at the heart of Lyft's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication. You will report to a Data Science Manager. Responsibilities Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions Partner with product managers, engineers, and operators to translate the data into decisions and action Communicate findings to stakeholders in a clear and concise manner Experience Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relev

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 and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners. In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners Monitor and diagnose KPI performance and present findings to senior leadership Experience: Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field;

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’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera