Data Analyst

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Gathering and documenting business and project requirements Managing stakeholders of differing levels Analysing and profiling large and complex datasets Managing a team backlog using tools like Jira or Azure DevOps Agile ways of working Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is no

Where Performance Meets Purpose Iconic golf brands. Commitment to excellence. Colleagues who care. Working at Acushnet Europe means you bring your background and experience to a company with a rich history of creating the best products for dedicated golfers around the world. Your performance has purpose at Acushnet Europe. Based in St Ives, Cambridgeshire, our golf products are recognized globally for their unmatched quality, made possible by the dedication and pride we put into everything we do. Looking to kick-start your career in data analytics with a global company? We're looking for a Data Analyst to join our team on a 6-month fixed-term contract. This is an excellent opportunity for a graduate or someone early in their analytics career to gain hands-on experience in a global business, supporting our Brand, Sales and Business Intelligence teams with meaningful data and insight. What you'll be doing 🔹 Collecting and analysing market, sales and consumer data. 🔹 Updating and maintaining Power BI dashboards and reports. 🔹 Designing, analysing and reporting on consumer surveys. 🔹 Supporting Brand and Sales teams with ad hoc analysis and reporting. 🔹 Assisting the BI team with data preparation and SAP-related projects. 🔹 Improving customer segmentation and business reporting. 🔹 Helping colleagues make better use of data and visualisation tools. What we're looking for 🔹 Degree-level education or equivalent. 🔹 Some experience in data analysis, business intelligence, market research or reporting through work experience, internships or university projects. 🔹 Strong Excel skills and experience using Power BI or similar reporting tools. 🔹 A curious, analytical mindset with excellent attention to detail.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. We bring together specialists across AI research, silicon design, software engineering and systems to solve complex problems and deliver meaningful impact. Job Summary Initially reporting to the Head of Data & Transformation, you will help business teams improve how they work and make decisions through process change, data analytics and AI-assisted and agentic workflows. Working closely with the Data Enablement Lead, you will independently lead complex, agreed initiatives from discovery and process mapping through requirements definition, hands-on analysis, prototyping, implementation and adoption. You will help teams find and use trusted data, embed analytics and agentic workflows into everyday activities, and achieve measurable improvements in business outcomes. The Team The Data & Transformation team brings together data capability and business transformation to improve how Graphcore operates and makes decisions. The team builds trusted data foundations, enables effective access to information and delivers cross-functional change to business processes, systems and ways of working. You will partner directly with business teams, the Data Enablement Lead, Analytics Engineers and Project Managers. The Data Enablement Lead owns the overall data ena

Senior Data Analyst Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As Prolific scales, maintaining a healthy and sustainable participant marketplace will be critical to our ability to meet growing demand for high-quality human data. We are looking for a Senior Data Analyst who can independently drive strategic marketplace analytics and act as an end-to-end partner across product, operations, and leadership. What you’ll bring to the role Senior Analytics Expertise: Advanced SQL and strong Python proficiency (e.g. pandas, experimentation analysis, automation), with a proven track record of architecting scalable reporting frameworks and data marts in modern BI tools (Metabase, Looker, Tableau, Hex). Demonstrated capability to independently own ambiguous problems end-to-end — from complex raw data to executive-ready strategic insights. Lifecycle Analytics: Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts. Experimentation & Statistics: Experience designing and analysing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking. Product Thinking: Ability to translate participant and marketplace challenges into measurable hypotheses, success metrics, and actionable recommendations. Commercial Acumen: Strong ability to connect operational metrics to revenue, margin, and financial performance — understanding not just what is happening, but why it matters commercially. Strategic Autonomy & Ownership: Exceptional ability to operate with high autonomy in a dynamic environment, independently setting priorities, challenging assumptions, fr

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: CX Apprentice - Data Reports to: CX Analytics and Performance Director Apprenticeship: Data Analyst Level 4 Duration: 12-18 months, subject to learner progress + End Point Assessment Role Purpose To support the Customer Service department in turning core operational data into clear, actionable insight — covering everything from divisional headcount and budgets through to CS performance metrics, carrier claims and returns — helping the business understand performance and identify where the customer experience can be improved. Key Responsibilities Support core CS operational performance reporting across the department, including divisional headcount, budgets and key performance metrics such as CSAT and APH. Collect, clean and validate data from multiple internal and external sources across CX/CS operations, including carrier claims, returns (e.g. ZigZag), post-dispatch communications and customer contact systems. Build and maintain dashboards and reports (e.g. Power BI) tracking department-wide CS metrics, from workforce and budget data to claims and returns performance. Write and run SQL queries to extract and manipulate data from relational databases in support of departmental reporting. Identify trends and patterns across headcount, budget, claims, returns and delivery data, flagging root causes and opportunities for improvement. Support CS leadership and wider teams with ad hoc analysis to inform decision-making, resourcing