Thrive Apprenticeship – Junior Data Analyst

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.

Join our dynamic team at demo.levels.fyi as a Data Analyst! This role is pivotal in transforming data into actionable insights that drive our decision-making processes. You'll engage with stakeholders to understand their data needs, analyze complex datasets, and present findings in a clear and impactful manner. Your expertise will contribute to our ongoing mission to innovate and elevate industry standards.

Join Our Team as a Data AnalystIf you have a passion for data and a desire to uncover meaningful insights, DolarApp is looking for you! As a Data Analyst, you will play a vital role in analyzing our operations, customers, and business performance through meticulous data exploration and insightful storytelling. Your analytical acumen will help us detect trends, identify patterns, and build the framework for data-driven decision-making that will shape our products and services.This position is ideal for early-career professionals eager to grow their analytics skills and understand how data influences product development, financial strategies, and operational excellence within the dynamic fintech landscape.Your ResponsibilitiesData Exploration & Analysis: Dive deep into user behavior, performance metrics, and key indicators to identify the drivers behind changes.Spotting Anomalies & Opportunities: Recognize unusual patterns or spikes and assist the team in determining their underlying causes.Reporting & Automation: Develop and sustain dashboards and automated reports to enhance data accessibility and reliability.Supporting Decisions: Convert analytical insights into actionable recommendations for product enhancements and operational improvements.Defining Metrics: Collaborate on establishing and refining critical KPIs essential for our business and customer satisfaction.Documentation: Ensure all analyses, methodologies, and assumptions are thoroughly documented and reproducible.Modeling & Experimentation: Engage in basic modeling tasks and structured experiments under the mentorship of senior analysts or data scientists.Continuous Learning: Expand your analytical skills and develop product insight through hands-on problem-solving and guidance.Qualifications1-3 years of experience in analytics, data, or operations (internships included)Proficient in SQL for data querying and explorationA curious mind and a systematic approach to problem-solvingStrong communication skills, with the ability to convey insights clearly and visuallyProactive in automating repetitive tasks and refining reporting processesInterest in fintech, data-driven decision-making, and foundational machine learning concepts(Bonus) Familiarity with Python for basic data manipulation

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 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.

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.

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

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.

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.

Role Overview Wise is hiring a Staff Data Analyst for the Operations team in London. This role focuses on using data to improve how the company works and supports better decision-making. The analyst will work with complex datasets, uncover trends, and help shape the way Wise operates. What You Will Do Analyze large and varied datasets to find patterns and opportunities for improvement Translate data findings into clear, actionable recommendations for the Operations team Support ongoing efforts to refine and streamline operational processes Work closely with colleagues to share insights and enable strategic choices Who We’re Looking For Strong attention to detail and a methodical approach to problem-solving Experience working with data to inform business or operational decisions Ability to communicate insights clearly to a range of stakeholders

66degrees is seeking a Data Architect for a contract position based in London, UK. This role centers on helping enterprises address business challenges by shaping data management strategies and supporting AI-driven solutions. The team at 66degrees brings together experience from top firms, blending technical expertise with practical industry insight. The company’s mission is to turn complex data into clear, actionable information that drives organizational growth. Collaboration and continuous learning are part of daily life at 66degrees, and the culture encourages both professional and personal development. Equal Opportunity 66degrees is committed to equal opportunity employment. All qualified applicants will be considered without regard to race, color, religion, sex, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status, or any other legally protected class. AI Transparency During the recruitment process, 66degrees uses AI tools such as LinkedIn Recruiter’s Hiring Assistant and interview transcription technology to aid in sourcing, analyzing roles, and capturing interview highlights. The final hiring decisions are always made by the human Talent Team. By applying, candidates acknowledge the use of these technologies during hiring.

As a Senior Full Stack Data Analyst at Blacklane, you will be integral in shaping our data-driven strategies by transforming intricate datasets into actionable insights that influence key business decisions. You will be responsible for designing and maintaining interactive dashboards, comprehensive reports, and engaging visualizations, collaborating with cross-functional teams to meet their analytical needs and conducting advanced statistical analyses. Your focus on data quality and precision will be vital, alongside your ability to effectively communicate your findings and guide the strategic direction of our data division within the engineering department. This position offers ongoing opportunities for professional development, flexible working arrangements, and a vibrant, diverse workplace environment.

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.

Join our dynamic team at Trainline as a Data Analyst! In this pivotal role, you will leverage data to drive insights that influence strategic decisions. Your analytical expertise will help optimize our operations and enhance customer experiences. Collaborate with cross-functional teams and utilize advanced data analysis techniques to uncover trends and present actionable recommendations.

Join our dynamic team as a Data Analyst at carwow, where we are dedicated to revolutionizing the car buying experience. As a Data Analyst, you will play a crucial role in interpreting complex data sets and providing actionable insights that drive our business strategy.

*We operate a rolling recruitment model. Places are allocated in cohorts on a first-come, first-served basis. Please indicate your preferred cohort on the application form. If you are selected, we will do our utmost to accommodate your first choice; however, if that cohort is full, you will be placed in a subsequent one. To maximize your chances of securing your preferred cohort, we recommend submitting your application well ahead of the deadline.*For more insights into the role, watch our short video.At The Information Lab, our mission is clear: to empower individuals and organizations to harness the power of data. We believe that organizations adept at leveraging data will thrive, and since 2011, we have been assisting clients such as PwC, Coca-Cola, Unilever, Virgin Atlantic, and UBS by specializing in premier data visualization and integration tools - Tableau and Alteryx.As a consultant at The Data School, your experience will far exceed that of a standard training contract. You will earn a competitive salary of £35,000 (increasing to £40,000) annually while learning from some of the world’s leading data experts, including several Tableau Visionaries and Alteryx ACEs. This intensive and immersive four-month training will take place at our outstanding Data School, conveniently located near St. Paul's Cathedral. You will also have the opportunity to apply your new skills with some of the UK's most recognized blue-chip clients through a series of practical placements. Our training encompasses more than just technology. With the guidance of your coaches and the wider team, you will acquire essential skills in data storage, management, and presentation, alongside personal development skills to enhance your confidence as an exceptional consultant. All of this occurs in an environment that can only be described as extraordinary.

Relay is revolutionizing the logistics landscape in the digital age. With a record-setting logistics Series A funding of $35M from top-tier deep-tech investors like Plural, Relay is outpacing 99.98% of venture-backed startups in growth. We are on a mission to build the most talented team in the logistics sector.Our Mission is to eliminate barriers in commerce. High delivery costs currently serve as a hidden tax on e-commerce, shaping what can be sold online and restricting participation. We aspire to create a future where goods flow freely among people, enhancing the online shopping experience for everyone.About the Team• Comprising approximately 110 professionals, with over half specializing in engineering, product development, and data analytics.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• We process and analyze thousands of data points for every parcel we manage.• Our culture thrives on first-principles thinking, rapid feedback loops, and constant experimentation.The RoleIn our data-driven environment, we leverage data to inform all our operations. Our small but influential data team focuses on a variety of projects ranging from operations research to optimize daily parcel deliveries to comprehensive business metrics that inform our growth and investment strategies.We seek a Senior Data Analyst for the End Customer segment. This position presents a unique opportunity to use your analytical expertise to enhance the design and performance of our critical logistics infrastructure as we expand.You will collaborate closely with teams across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, while also working with operations, product, and engineering teams to identify challenges, formulate hypotheses, and extract insights.As an essential member of key cross-functional teams, you will gain significant exposure to real-world operations and the chance to effect real change through data.