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Experience Level
Experience
Qualifications
The ideal candidate will possess a strong background in data engineering and software development, with proficiency in modern data technologies. Key qualifications include:Experience with cloud-based platforms (AWS, Azure, or Google Cloud)Strong skills in programming languages such as Python, Java, or ScalaFamiliarity with data warehousing solutions and ETL processesAbility to work collaboratively in a fast-paced environment
About the job
As a Staff Engineer on the Data Platform team at yuno in London, the focus is on designing and developing scalable data solutions. These systems help internal teams operate more efficiently and contribute to product improvements across the company.
This position involves hands-on work with technical architecture, providing the chance to influence how data systems are built and maintained. Projects in this role are closely tied to business goals, with a direct impact on yuno’s progress.
Key responsibilities
Build and maintain scalable data platforms to support internal stakeholders
Contribute to the design and evolution of technical architecture
Work on projects that drive product and business growth
Location
This role is based in London.
About yuno
yuno is a forward-thinking company dedicated to transforming the way businesses interact with data. Our team is passionate about innovation and excellence, striving to create solutions that are not only effective but also sustainable. We believe in fostering a collaborative culture where every member can contribute to our shared success.
As a Staff Data Analyst in Operations at wise, you will play a vital role in shaping data-driven decisions and optimizing our operational processes. Your expertise in data analysis will be key in guiding strategic initiatives and improving business outcomes. Join us in our mission to make money work for everyone by leveraging data to enhance operational effi…
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.
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
Role overview Utility Warehouse seeks a Data Analyst for its Customer Operations team in London. The position focuses on examining customer data to reveal insights and help shape how the company delivers service. What you will do Study customer data to spot trends and highlight areas for operational improvement Create reports and insights that guide business choices Collaborate with teams across the company to build solutions based on data and customer needs Contribute to projects that aim to boost efficiency and improve the customer experience
For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable outcomes. Our innovative platform offers seamless work management and scalable solutions that drive efficiency and insights. At Smartsheet, we create an environment that encourages big thinking, decisive action, and impactful work; where challenges meet purpose and passion fuels progress.We are currently seeking a talented Senior Data Analyst to enhance the productivity of our Go-To-Market (GTM) organization. This pivotal role involves shaping Smartsheet's growth strategy through insightful data analysis. Collaborating closely with senior leadership, you will provide strategic insights that will aid in decision-making within a dynamic and motivated team. Your expertise will be crucial in optimizing sales pipelines, boosting retention rates, and facilitating deal closures.The ideal candidate is inquisitive and adept at translating complex business inquiries into actionable analysis, reports, and recommendations. Success in this role requires excellent communication skills tailored to diverse internal stakeholders, along with strong proficiency in data analytics tools and languages. You should be capable of identifying business opportunities and devising innovative solutions.Founded in 2005, Smartsheet believes that teams and individuals deserve a superior way to deliver their best work. Today, we provide a leading cloud-based platform that empowers organizations to plan, capture, track, automate, and report on work at scale, ultimately leading to enhanced processes and improved business outcomes.You will report directly to our Director, GTM Operations (EMEA).
Join Relay, a pioneering force in the logistics landscape, as we redefine how goods are transported in the digital age. With a remarkable $35 million Series A funding—an unprecedented feat in European logistics—our growth trajectory surpasses that of 99.98% of venture-backed startups. We are on a mission to build the most skilled team in the logistics sector.Our Mission is to eliminate friction in commerce. High delivery costs often act as a hidden barrier to e-commerce, influencing what can be sold online and who can engage. We envision a future where goods flow freely among individuals, enhancing the online shopping experience for all.About Our Team• Comprising approximately 110 talented professionals, with over half specializing in engineering, product, and data• Home to 45+ advanced degrees across various disciplines including computer science, mathematics, and operations research• We process thousands of data points for each parcel, enabling precise calculations and predictions• Our culture thrives on first-principles thinking, rigorous feedback mechanisms, and a spirit of experimentation.About the RoleAs a Data Analyst within the Network team, you will play a critical role in assessing the performance of predictive models related to parcel demand, collection forecasts, parcel dimensions, shift planning, and demand management. This position emphasizes analytical oversight rather than model development: ensuring accuracy, identifying biases, and troubleshooting discrepancies in forecasts. Investigation into root causes, quantifying impacts, and collaborating with Data Scientists to implement solutions will be core to your responsibilities.Your role will also involve creating robust dashboards that provide visibility into model performance for both the team and dependent departments. A comprehensive understanding of these models—including their strengths and weaknesses—will enable proactive adjustments and ensure smooth operations.
Join our dynamic team at Ravio as a Revenue Operations Analyst, where you will play a pivotal role in optimizing our revenue processes and enhancing operational efficiency. In this position, you will analyze data, develop reports, and collaborate with cross-functional teams to drive strategic initiatives. Your insights will be crucial in improving our customer engagement strategies and maximizing revenue growth.
Join Kpler as a Revenue Operations Analyst in our London office, where you will play a crucial role in enhancing our revenue processes and analytics. In this exciting position, you will collaborate with cross-functional teams to optimize revenue operations, leveraging data analysis to support strategic decision-making and drive efficiency. If you are passionate about data-driven insights and eager to contribute to a dynamic and innovative team, we want to hear from you!
Join Alo Yoga as an Operations Planning Analyst, where you will play a crucial role in optimizing our operational strategies and enhancing efficiency across various functions. In this dynamic position, you will analyze data, identify trends, and collaborate with cross-functional teams to drive continuous improvement. Your insights will be pivotal in shaping our operational framework and ensuring alignment with our business objectives.
Role overview The Operations Analyst position at Securitas in London centers on evaluating and refining daily business activities. The role involves studying how the company currently operates, pinpointing opportunities to improve, and working with teams across the organization to ensure that operational processes align with Securitas’s goals. What you will do Review and analyze operational workflows to find ways to increase efficiency Work closely with colleagues from various departments to understand their requirements and challenges Contribute to initiatives that align day-to-day operations with the broader company strategy
Role overview Connexity is hiring a Junior Operations Analyst in London. This role supports daily operational processes and data analysis across the company. The analyst works closely with teams from different functions to help improve efficiency and contribute to strategic projects. What you will do Assist with operational workflows and ensure smooth day-to-day processes Analyze data to support business decisions Work with colleagues from various departments on projects to improve company performance Who we’re looking for Interest in data-driven decision-making Motivated to build a career in operations and analysis Ready to learn and contribute in a collaborative setting
Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.
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.
Postman is seeking a Deal Operations Analyst based in London, UK. This position centers on refining operational processes and enhancing deal management systems. The analyst partners with teams across the company to help keep deal execution on track and efficient. Key responsibilities Work with colleagues in various departments to support the full deal process Review operational data to identify patterns and trends Present insights that help shape operational strategies Contribute to process improvements that align with company growth Requirements Strong analytical abilities High attention to detail Experience working with data and collaborating across teams
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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
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
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.
Role overview As a Staff Engineer on the Data Platform team at yuno in London, the focus is on designing and developing scalable data solutions. These systems help internal teams operate more efficiently and contribute to product improvements across the company. This position involves hands-on work with technical architecture, providing the chance to influence how data systems are built and maintained. Projects in this role are closely tied to business goals, with a direct impact on yuno’s progress. Key responsibilities Build and maintain scalable data platforms to support internal stakeholders Contribute to the design and evolution of technical architecture Work on projects that drive product and business growth Location This role is based in London.