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…

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

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

Welcome to Plum, your intelligent saving and investing application dedicated to helping you cultivate your wealth for the long term.Since our inception in 2016, over 2 million users across 10 European markets have entrusted us with more than £2 billion, thanks to our innovative automation and artificial intelligence – that’s the enchantment of Plum! Our achievements have garnered recognition from esteemed organizations such as Deloitte, Finder, and others.This success is attributed to our enthusiastic team of over 200 Plumsters who collaborate across Europe to fulfill our mission. We are now on the lookout for more talented individuals to join our adventure!About the RoleWe are in search of an outstanding Lead/Staff Data Analyst who shares our passion for Plum’s objectives, to become a pivotal analytics leader within our organization. Your role will be to enhance the value we provide throughout Plum by establishing data standards, advocating for optimal experimentation practices, and promoting data-driven decision-making across various teams.Key ResponsibilitiesDefine and refine Plum’s analytics strategy, taking ownership of essential metrics, setting experimentation standards, and developing measurement frameworks throughout the organization.Mentor and support Data Analysts within product squads (dotted-line reporting), elevating the quality and significance of their contributions while closely collaborating with the Data Platform and Machine Learning teams.Lead impactful, cross-functional projects focusing on growth, retention, monetization, or product optimization, managing everything from problem definition to actionable insights and recommendations.Regularly collaborate with senior leadership across product, engineering, design, finance, marketing, and operations to leverage data in decision-making and influence product and business strategies.Qualifications7+ years of experience in a quantitative role, with extensive expertise in A/B testing, causal inference, and translating data into business impact; proficient in SQL, dbt, and Python.A seasoned mentor, enhancing analytics standards through best practices, frameworks, and methodologies.Adept at tackling ambiguous challenges in a dynamic environment.Skilled in linking data to product and business strategies, revealing actionable insights about our customers.Plum PerksEngage in collective ownership through stock options Comprehensive private health insuranceAnnual training budget to foster professional growthAccess to Plum PremiumReferral scheme with competitive rewardsFlexible remote working policy encouraging at least 2 days per week in one of our beautiful offices located in London, Athens, or CyprusTeam breakfasts and lunches to foster camaraderie.25 days of vacation plus bank holidays45 work-from-anywhere days, allowing for a personalized work environment.A 2-week sabbatical after 4 years to recharge.

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.

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.

Wise is seeking a strategic and analytical Lead Product Analyst to join our dynamic team in London. In this pivotal role, you will leverage data to drive product decisions, enhance user experiences, and optimize our offerings. Your expertise in data analysis and product development will be essential in shaping the future of our financial services.As a Lead Product Analyst, you will collaborate closely with product managers and engineers, utilizing your analytical skills to identify key insights and trends. You will be responsible for developing metrics to measure product performance and drive actionable insights that align with our business goals.

As a Lead Product Analyst at Wise, you will play a pivotal role in shaping our product strategy across Europe and the UK. You will leverage your analytical expertise to drive data-informed decisions, collaborating closely with cross-functional teams to enhance our product offerings and optimize user experience.In this dynamic position, you will be responsible for identifying key performance indicators, analyzing user behavior, and translating data insights into actionable recommendations. Your ability to communicate complex findings in a clear and engaging manner will be essential as you partner with product managers and engineers to prioritize features that deliver real value to our customers.

About Indicium AI Indicium AI is a premier global consultancy renowned for integrating AI into production at scale. We partner with some of the world’s foremost enterprises across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our mission is to unlock the potential of AI, facilitating strategic implementation through speed, clarity, and unparalleled capability. With a dedicated team of over 600 AI experts, we serve more than 50 enterprise clients across five global offices. Collaborating with industry leaders such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, we drive modern AI solutions that yield tangible results. Opportunity We are eager to connect with individuals possessing a robust data background and cloud-native skills, particularly those experienced in delivering high-quality software solutions. As a consulting firm focused on outcomes, we seek professionals who embrace a consultative approach to problem-solving in a comprehensive, end-to-end manner. Join our diverse, talented team to share knowledge and learn from varied experiences. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Address end-to-end data challenges and identify opportunities at scale. Contribute to the architecture and design of innovative solutions. Collaborate with clients to bring their data strategies to fruition. Work with your cross-functional team throughout all phases of engagement, including advisory, design, and implementation of comprehensive solutions. Participate in internal initiatives, such as writing blogs and engaging in technical forums. Requirements Strong understanding of modern data engineering concepts (e.g., distributed systems, data streaming, event-based architectures). Experience with software engineering and DevOps best practices, encompassing the entire software development lifecycle (SDLC) applied to data: automation, testing, contract definition, clean code, CI/CD, and path to production. Familiarity with one or more cloud platforms and services such as AWS, Azure, or GCP. Extensive hands-on experience with contemporary data technologies and ETL tools (e.g., Kafka, Flink, DBT) and data storage solutions (e.g., Snowflake, Redshift).

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 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 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.

Join Wise as a Lead Data Analyst in our Treasury team focusing on FX Markets. In this pivotal role, you will leverage your analytical skills to drive data-driven decisions and enhance our financial strategies. Collaborate with cross-functional teams to optimize our treasury operations and ensure compliance with regulatory standards.

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

Soho House & Co. is a global network of members' clubs, restaurants, hotels, workspaces, and cinemas, serving creative professionals across the UK, EU, North America, Latin America, and Asia-Pacific. The company values diverse perspectives and is committed to building teams that reflect a wide range of backgrounds and experiences. The Junior Data Privacy Analyst position is based in London and reports to the Data Privacy Lead. This role works closely with another analyst to help strengthen and maintain Soho House’s privacy framework. The analyst assists with the implementation and ongoing management of data protection policies, ensuring compliance with regulations in all regions where the company operates. Daily tasks include privacy risk assessments, handling consumer rights requests, and supporting contract reviews within the Data Privacy team. Key responsibilities Conduct Data Protection Impact Assessments (DPIAs) and vendor assessments, reviewing responses to spot privacy risks and compliance gaps. Track assessment progress to ensure deadlines are met. Assist with updating and maintaining the Record of Processing Activities (RoPA). Work with other departments and projects to provide data protection advice and raise awareness of privacy best practices. Manage Data Subject Access Rights requests using Microsoft Purview software. Support the contract review process. Maintain a training and awareness plan, deliver training sessions, and monitor completion rates. Contribute to the ongoing development of the privacy framework and help foster a culture of data protection across the company. Commitment to inclusion Soho House & Co. is an equal opportunity employer. Applications are encouraged from all genders, races, religions, ages, sexual orientations, parents, veterans, individuals with disabilities, and anyone who can bring a unique perspective to the team.

Note: This position requires 4 days of in-office work in Central London and 1 day of remote work.Key Responsibilities:Develop features, resolve issues, and perform daily monitoring on the cloud delta lakehouse data platform.Collaborate within an agile technical team, actively engaging in all ceremonies, including daily stand-ups and backlog refinement sessions.Make architectural decisions, mentor junior engineers, and contribute to the establishment of engineering standards, documentation, and reusable frameworks.Experience Required:Minimum of 10 years of overall experience in data engineering.At least 5 years of experience in a data warehouse solution landscape.Proven experience leading complex data initiatives and making architectural decisions.Familiar with agile delivery methodologies, preferably SCRUM or Kanban.Ability to take ownership of data issues, conduct investigations and root cause analysis, and implement fixes through code and data modifications.Understanding of data warehouse testing strategies and quality assurance processes.Proficient in git branching strategies and code management.Solid understanding of technical release management processes in Azure DevOps.Strong communication skills, capable of driving alignment, collaboration, and efficiency within teams.