1 to 25 of 226 Remote Analytics Jobs in the South East

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics … insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every … their potential and progress on their chosen career paths. What your day will look like: Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects. Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. Champion our 'always testing' culture, designing and developing experiments. Lead and drive More ❯

clean, validate, and manage procurement data across systems to ensure accuracy, quality, and compliance. Digital Tools & Systems: Support configuration and maintenance of procurement platforms, including **ERP**, **Ariba**, and data analytics tools to streamline procurement processes. Process Automation & Optimisation: Assist in identifying opportunities for automation, optimising workflows, and improving data-driven processes within procurement. Data Governance & Compliance: Maintain data governance standards More ❯

AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and More ❯

analysis. Collaborate with the HQ Data Team in Germany to resolve cross-border data issues. Explore and apply new data sources and techniques to enhance our data lake and analytics capabilities. Promote the use of data-driven insights across departments. What we're looking for: Required: Education & Experience: Degree in Computer Science or equivalent professional experience Technical Skills: Proficient in More ❯

team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming More ❯

and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools More ❯

a Technical Data Product Manager to take ownership of the strategy and development of business intelligence products. You'll be shaping how the business builds and scales its internal analytics and reporting capability. What You'll Be Doing Lead the end-to-end lifecycle of BI product development - from ideation and stakeholder alignment to delivery and continuous improvement Own the More ❯

SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools, Qlik, Microsoft Excel, Power BI, Synapse, Snowflake or similar. Self-motivated, proactive, with a strong sense of ownership, initiative, and problem-solving abilities. Excellent communication skills, with the ability More ❯

years). Experience in system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate data. Familiarity with reporting and analytics tools used in conjunction with Fenergo (e.g., Microsoft Excel, Power BI, or similar). Familiarity with "low code platforms", such as Microsoft Power Platform or similar. Self-motivated, proactive, with a More ❯

and maintenance services. Estates Intelligence teams utilise the ‘6 As’ Methodology to deliver business benefit by deploying their ‘Viaverse’ platform to enable each A – aggregation, automation, assurance, audit, and analytics all to enable enhanced asset management across client’s portfolio. About the Role This role will lead on day-to-day delivery of initiatives on the DWP account, including overseeing More ❯

Extensive knowledge of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage More ❯

and business stakeholders. Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data/business intelligence/analytics is preferred. We also value: Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster More ❯

across the business. Key Responsibilities: Own and manage the entire data lifecycle, from ingestion to delivery, ensuring accuracy, quality and compliance Define and implement the organisation's data and analytics strategy, aligning with business objectives Establish and maintain a robust data governance framework, including clear policies, standards and procedures Ensure all data practices comply with GDPR, NIS and other relevant More ❯

conducting backlog refinement, monitor ready stories vs. velocity Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelors degree in software engineering, computer science, data analytics or a related field 1 - 3 years of experience working as a business analyst, product owner or similar role Highly motivated self-starter with a desire to help others, act More ❯

financial data, identify trends, and provide actionable recommendations. Highly organised with excellent attention to detail and project management skills. Proficiency in financial reporting tools (Excel, Power BI, or other analytics platforms). Ability to travel to the hotels (UK) on a regular basis and to European head office in Amsterdam, when required. Company Market leading investment management organisation Operations in More ❯

knowledge, experience and qualifications that will help Some experience in a data analyst or related role (ideally in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as More ❯

knowledge, experience and qualifications that will help Some experience in a data analyst or related role (ideally in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as More ❯

across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end on model implementation, from deployment to model monitoring. Data analytics on trends within books. Work with a diverse range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE More ❯

Work in a dynamic, supportive, and growth-focused environment. Opportunity to develop strong business analytics and BI skills. About Our Client A leading financial services provider supporting the automotive industry, offering innovative financing, leasing, and insurance solutions. They focus on enhancing customer experiences through data-driven decision-making, business intelligence, and advanced analytics. Job Description The Business Data Analyst will More ❯

scalable, governed, high-quality data pipelines Design and implement platform capabilities that support decentralised data adoption Drive forward technical strategy and architectural decisions for the team Mentor data and analytics engineers to raise the technical bar Balance near-term delivery with long-term platform health and innovation Collaborate across teams-product managers, analysts, ML engineers, and more What You'll More ❯

as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem solving and are More ❯

TypeScript or Dart Python, specifically Django Angular WebGL Sass Experience with the full software lifecycle including interpretation of requirements, unit, integration and e2e testing, CI/CD pipelining Data analytics or background in Maths C++ (our deeper level analysis of CAD files is written in this, but would not be a part of the role unless desired) Our Culture We More ❯

marketing * Help tell compelling data stories to both technical and non-technical audiences What We Need to See (Essential) * 1-2 years of experience in a data, insights, or analytics role * Solid knowledge of Power BI, SQL and either Python or R * A passion for Media/Digital Media and TV and Film! What We'd Like to See (Bonus More ❯

skills across clinical, business, and technical teams. Experience working on projects related to Community Diagnostic Centres, Integrated Care Systems, or Electronic Patient Records. Understanding of AI, ML, and data analytics applications in healthcare. Exposure to openEHR, IHE profiles, and OpenAPI specifications. TOGAF, BCS, or relevant architecture certification. Experience working in agile, user-centred delivery environments. Experience Minimum 5 years in More ❯

wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together … with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As Senior Analytics Manager in the Core Business Analytics team, you will lead the Commercial (Ops) analytics vertical—covering pricing, promotions, stock exit, and operational performance. You'll manage a team of analysts, set the direction for how data is … used across Commercial Ops, and partner closely with stakeholders in Trading, Pricing, Commercial Ops, and Supply Chain. The Role What You'll Do Lead the analytics roadmap for Commercial Operations across pricing, stock exit, margin performance, and trading analytics. Manage, coach, and develop a team of Commercial Analysts (mid and senior levels). Partner with stakeholders across Trading, Pricing, Commercial More ❯