Lead Data Analyst - Category Development

Join gopuff as a Lead Data Analyst in our Category Development team, where you'll play a pivotal role in leveraging data to drive strategic decision-making. Your expertise will help us understand consumer behavior, optimize product offerings, and enhance our operational efficiency.In this dynamic role, you will collaborate closely with cross-functional teams, utilizing advanced analytical techniques and tools to extract actionable insights from complex datasets. Your passion for data and analytics will enable gopuff to stay ahead in the fast-paced delivery industry.

Wise is looking for a Lead Data Analyst focused on Pricing to help shape pricing strategies and support data-driven decisions. This position is based in London and works closely with teams across the company. Role overview This role centers on analyzing and optimizing pricing models. The Lead Data Analyst will review market trends, assess data, and recommend adjustments to support Wise’s business goals. Collaboration Working with cross-functional teams is a key part of this position. Expect to share insights, coordinate on projects, and ensure pricing strategies remain relevant and competitive. Requirements Strong analytical skills Experience with pricing models Ability to interpret market data and trends Comfort working with teams across different functions

Join Wise as a Lead Data Analyst in our Operations team, where you will play a crucial role in driving data-driven decision making. In this position, you will lead a team of analysts, utilizing your expertise to interpret complex data sets and provide actionable insights that enhance operational efficiency and customer satisfaction.

Wise is looking for a Lead Data Analyst to strengthen operational performance through data insights. This role is based in London and centers on guiding a team of analysts, collaborating with colleagues across departments, and turning data into clear recommendations for process improvements. Role overview This position focuses on uncovering opportunities to refine operations and support better decision-making. The Lead Data Analyst interprets complex data, develops practical strategies, and communicates findings directly to stakeholders. What you will do Lead and mentor a team of data analysts Work with cross-functional teams to identify and prioritize process improvements Analyze large datasets to extract actionable insights Present data-driven recommendations to stakeholders Requirements Strong analytical skills and experience with complex datasets Ability to develop strategies based on data findings Experience presenting to and influencing stakeholders Background in leading or mentoring analysts is preferred

Join carwow as a Lead Data Analyst and play a pivotal role in shaping data-driven decisions that enhance our customer experience. You will lead a team of analysts, leveraging data to provide actionable insights and guide strategic initiatives. In this role, you will collaborate with cross-functional teams to interpret data trends and develop robust analytical frameworks that drive business performance.

Wise is seeking a Lead Data Analyst with a focus on CRM Analytics to join the team in London. This position centers on using analytical skills to support and improve customer relationship management initiatives. Role overview The Lead Data Analyst will work with complex datasets to uncover trends and patterns that inform Wise’s CRM strategies. The role involves turning raw data into clear, actionable insights that shape how the company connects with its customers. Key responsibilities Analyze large and varied datasets related to customer interactions and engagement. Develop insights that support Wise’s CRM goals and improve customer experience. Collaborate with teams across the company to refine and optimize customer engagement strategies. Collaboration This role works closely with cross-functional teams, ensuring that data-driven recommendations are integrated into Wise’s broader customer engagement efforts.

As a Lead Data Analyst at Wise, you will play a pivotal role in shaping our pricing strategy on the Wise Platform. Your expertise in data analysis and keen insights will drive our decision-making process, ensuring we remain competitive and transparent in our pricing model. Collaborating with cross-functional teams, you will translate complex datasets into actionable insights that enhance our product offerings and customer satisfaction.

About SwapSwap is a pioneering force in the realm of modern agentic commerce, serving as the only AI-native platform that seamlessly integrates backend operations with a visionary storefront experience.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and empowers margin-protecting decisions through real-time data and capabilities. Our product offerings include cross-border transactions, tax solutions, returns management, demand planning, and our groundbreaking agentic storefront, which provides merchants with comprehensive transparency and the ability to make informed decisions confidently.At Swap, we are committed to cultivating a culture that prioritizes clarity, creativity, and shared ownership as we revolutionize the landscape of global commerce.About the RoleWe are seeking an enthusiastic and practical Lead Analyst to join our expanding team of embedded business analysts, dedicated to driving commercial value within our data-centric SaaS ecommerce ecosystem.This pivotal leadership position allows for substantial ownership and the opportunity to influence how data and insights drive decision-making throughout the organization. You will lead a small team of analysts embedded within critical departments, ensuring they produce high-impact commercial insights. Additionally, you will oversee the analysis and reporting that fuels our business—from internal commercial insights for Sales and Finance to the reliable data that supports our customer-facing agentic systems.We are looking for a hands-on leader who is eager to mentor the team, shape our analytics vision, and ensure our analyses yield measurable commercial success. If you thrive in a dynamic, collaborative environment with a strong sense of ownership and impact, and possess robust commercial acumen, we would love to hear from you!Key ResponsibilitiesStrategic Business Partnering & Roadmap Alignment: Serve as the main point of contact between the data function and key business stakeholders (e.g., VP of Sales, Head of Product). Translate broad business inquiries into actionable analytical roadmaps, ensuring the embedded team focuses on tasks that directly affect ARR, retention, and operational efficiency.Team Leadership & Technical Standardization: Manage and mentor a compact team, conducting code reviews and promoting professional development. Establish and uphold technical standards (SQL style guides, Git version control, dbt modeling) for reusable, scalable, and maintainable code across the organization.Advanced SaaS Metrics & Performance Analysis: Lead the identification and monitoring of key SaaS KPIs (e.g., NRR, CAC Payback, LTV:CAC, Churn, Usage Frequency)....

Why Join Faculty?Founded in 2014, Faculty has established itself as a leader in harnessing the transformative power of AI, collaborating with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype cycles, focusing on deploying responsible AI that genuinely makes a difference. Our extensive technical, product, and implementation expertise serves clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us in shaping the future of AI—empower yourself to explore its most impactful applications and bring them to life.About Our TeamThe Faculty Frontier TM product embodies our ambitious vision to create an enterprise-grade platform that integrates decision intelligence with AI Agents, optimizing critical processes for large-scale organizations. You will tackle complex, high-stakes challenges, particularly in healthcare and life sciences.About This RoleAs the Lead Data Scientist, you will define the technical direction of our flagship Frontier product. Leading project teams, you will design and develop custom computational twins—AI-powered digital twins that revolutionize client decision-making. This position requires a strong technical vision in data science, fostering direct client partnerships, and mentoring emerging data science talent. Seize this pivotal opportunity to spearhead innovative, high-impact AI implementations.Your Responsibilities:Direct the technical execution of Frontier deployments, from initial discovery to production integration of computational twins.Oversee the comprehensive data science strategy, including the design and application of optimal methodologies ranging from exploratory data analysis to deep learning.Collaborate with the commercial team to ensure alignment on project objectives and client expectations.

Join Wise as a Lead Data Analyst specializing in CRM Analytics. In this pivotal role, you will leverage data to drive insightful decision-making and enhance customer relationship strategies. You will work collaboratively with cross-functional teams to analyze customer data, identify trends, and provide actionable insights that align with our business objectives.

Join Relay, a pioneering logistics company transforming the online commerce landscape. Supported by Europe’s largest logistics Series A funding of $35M and backed by visionary deep-tech investors like Plural, Relay is on a rapid growth trajectory, outpacing 99.98% of venture-backed startups. We are committed to building the most talented team in the logistics sector.Our Mission: To eliminate barriers for commerce. We strive to reduce high delivery costs that act as a hidden tax on e-commerce, influencing what products are available and who can buy them. Our vision is a world where goods flow freely among people, enhancing the online shopping experience for everyone.The Team:Approximately 110 team members, with over half in engineering, product, and data.Team members hold 45+ advanced degrees in fields such as computer science, mathematics, and operations research.We analyze thousands of data points for every parcel we handle, fostering a culture of first-principles thinking and continuous experimentation.The Opportunity:As the Lead Data Analyst for Middle Mile & Sortation, you will play a pivotal role in optimizing Relay's complex operations, spanning from First Mile to Pitstops. You will focus on enhancing the efficiency of our Middle Mile transport connecting Hybrid Sort Centres to Pitstops, and Sortation processes within our warehouses, where operatives and robots collaborate to handle thousands of parcels daily. This role is rich in data, trade-offs, and closely linked to our unit economics.In this player-coach position, you will lead a small team consisting of the Middle Mile & Pitstops Analyst and the Sortation & First Mile Analyst. You will set the strategic direction, provide coaching, and create an environment that empowers your team to excel. Simultaneously, you will remain hands-on, building models, analyzing data, and tackling complex challenges directly.Relay operates with a centralized data team, integrating analysts into various business squads. You will collaborate closely with the Middle Mile & Pitstops and Sortation & First Mile teams to drive impactful data solutions.

Join Trainline as a Data Analyst in our Marketing team and play a vital role in transforming how our customers travel. You will leverage data to derive insights that drive decision-making, optimize marketing strategies, and improve customer engagement. Your analytical skills will be key in shaping our data-driven culture.

Join our dynamic team at Mangroup as a Data Analyst! In this role, you will leverage your analytical skills to interpret data and provide actionable insights that drive our business strategies. You will collaborate closely with various departments to ensure data-driven decision-making, enabling us to achieve our organizational goals.

About the RoleAs a Lead Analyst at Wise, you will play a pivotal role in developing advanced systems that facilitate scalable, multi-regional processes. Your primary focus will be on identifying and authenticating customers while minimizing the potential for financial crime throughout their lifecycle. You will collaborate closely with Product, Engineering, Operations, and Compliance teams to enhance control effectiveness, streamline customer experience, and boost operational efficiency.Your ResponsibilitiesTackle the three core challenges of financial crime analytics: balancing risk, user friction, and operational costs. You will assess opportunities, model impacts on volume, cost, and risk, and analyze the effectiveness of control changes and operational experiments. Additionally, you'll quantify the reasons for document rejections and develop effective recovery prompts.Design scalable platforms that provide sustainable, long-term solutions rather than short-term growth hacks.Adopt a data-as-a-product mentality by collaborating with engineers to create well-instrumented systems that track end-to-end performance. You'll define and maintain authoritative datasets and dashboards covering onboarding funnels, manual reviews, document processing, and operational performance, while also enabling stakeholders to independently access self-serve data assets and documentation.Engage with stakeholders by translating inquiries from CDD Operations, KYC Controls, Product, and Engineering into clear analytical frameworks, effectively communicating insights, trade-offs, and recommendations to shape future product outcomes.This position is categorized as a Lead Analyst role. For further details regarding our Analytics Career Map and leveling structure, please click here.

About the Role Utility Warehouse is looking for a Senior Data Analyst in London. This role focuses on analyzing complex datasets to uncover insights that support business improvements and strengthen customer satisfaction. What You Will Do Work with large and varied data sets to identify trends and patterns Translate data findings into clear recommendations for business teams Support decision-making with evidence-based analysis Help shape strategies that improve both performance and customer experience

Why Choose PlayStation?At PlayStation, we pride ourselves on not only being the ultimate destination for gamers but also a top-tier workplace. As a recognized leader in the global entertainment industry, we create a range of innovative products and services, including the PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and critically acclaimed titles developed by PlayStation Studios.We are committed to fostering an inclusive environment that empowers our employees and values diversity. We invite individuals who share a passion for innovation, technology, and gaming to explore our open positions and become a part of our expanding global team.The PlayStation brand operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.About PlayStation Game AnalyticsIn the Game Analytics team, we collaborate with product, design, engineering, and marketing teams to enhance player experiences through data-driven insights. Our mission is to empower teams to make informed decisions by integrating experimentation, lifecycle thinking, and player/customer insights into the evolution of our products. We support rapid iteration, personalization, and sustained engagement within live service environments across PlayStation Studios and platform teams.As a Lifecycle Data Analyst, you will be part of a multidisciplinary team dedicated to optimizing player/customer journeys through experimentation and lifecycle management. This role emphasizes experiment design, scalable measurement frameworks, and exploratory analysis that will shape personalized lifecycle content and messaging.In your role as a Data Analyst, you will collaborate closely with cross-functional partners to drive analytics initiatives across multiple game titles. Your contributions will span from early feature evaluations to live performance optimization, including experimentation, feature analysis, performance reporting, and exploratory research to guide product and business strategies.

Wise is looking for a Lead Data Analyst to join the Treasury team in London, with a focus on FX Markets. This position centers on improving how the company manages currencies and supports trading operations through data analysis. Role overview The Lead Data Analyst will guide initiatives that use data to strengthen currency management strategies. Day-to-day work involves examining large and complex data sets, identifying trends, and translating findings into practical recommendations. Collaboration This role works closely with teams across Wise. By sharing insights and analysis, the Lead Data Analyst helps shape important financial decisions and supports business growth. Key responsibilities Analyze FX market data to support currency management and trading operations Lead projects that turn data into actionable insights for the Treasury team Work with colleagues from different departments to deliver recommendations that inform financial strategy

Are you ready to shape the future of value transfer? Do you thrive on tackling unprecedented challenges? Join a values-driven organization that prioritizes the growth of its employees!Your Impact:Become a pivotal member of Elliptic, where you will transform complex datasets into actionable insights, compelling narratives, and quantifiable results. You will delve into intricate patterns within digital assets, create reproducible analyses, and present clear visualizations that guide Product and Marketing strategies, support Sales and Policy discussions, and amplify Elliptic’s presence in the marketplace. You will manage the entire process from raw data to impactful storytelling.Your Responsibilities:Conduct comprehensive mixed-method research on cryptocurrency ecosystems and user behaviors, merging quantitative analysis with strong domain expertise.Create clear, precise visuals and written narratives for reports, blogs, briefings, talks, and client-facing materials.Develop analytical assets and tools for use by Marketing and Communications across various campaigns and channels.Play a crucial role in our Intelligence organization to validate findings and uphold methodological integrity and relevance.Provide Product teams with data-driven insights on challenges, opportunities, and outcome metrics rooted in Intel data.Deliver concise analyses and visuals to Marketing and Revenue teams that clarify trends, value propositions, and risks for prospects and clients.Ensure the highest standards of data quality, documentation, and reproducibility.Create reusable notebooks, datasets, and dashboards that streamline recurring analyses.You Are a Great Fit If You:Exhibit a strong sense of curiosity and skepticism.Communicate complex ideas with clarity and confidence, tailoring depth to suit the audience.Value visual clarity as much as analytical accuracy.Pursue evidence rigorously to establish truths.Enjoy collaborating with teams across Data, Marketing, Revenue, and Product.Have a keen interest in cryptocurrencies.Ideal Candidate:Possesses a degree in a STEM field.

Angi seeks a Lead Analyst to shape customer service analytics across multiple European locations. This role influences how the company understands customer behavior and service quality, providing insights that support strategic decisions and drive improvements in customer satisfaction. Key responsibilities Lead analytics projects focused on evaluating customer service performance and satisfaction metrics Analyze data sets to identify trends and generate insights about customer interactions Develop actionable recommendations based on findings to enhance operational processes Collaborate with teams across the business to implement data-driven improvements Work locations Aix-en-Provence, France – Hybrid Amsterdam, Netherlands – Hybrid Berlin, Germany – Hybrid London, UK – Hybrid

Role overview The Lead Product Analyst - Consumer Account at Wise plays a key part in shaping the future of consumer account services. Based in London, this role centers on applying data analysis to improve products and enhance the user experience. Collaboration is central to this position. The analyst partners with teams across Wise to translate insights into practical changes, helping to guide decisions and set priorities for consumer account features. What you will do Use data to identify opportunities for product improvements Work closely with cross-functional teams to implement changes Help influence the direction of consumer account services by sharing actionable insights Location This position is based in London.