30 Data Analyst jobs in United Kingdom available for remote work from home. Apply for positions such as Data Analyst, Data Analyst, Data Analyst and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Analyst will design and maintain complex Power BI reports and dashboards while architecting scalable data models using Microsoft Dataverse. They will also create reliable data pipelines and perform advanced statistical analysis to provide actionable insights to stakeholders.
You will work closely with business stakeholders to analyze, cleanse, and profile complex datasets to solve data-related pain points. Additionally, you will design data storage solutions and create data dashboards to facilitate effective storytelling.
Collect, clean, and manage data from multiple systems to identify patterns and trends. Develop dashboards and visual insights to support decision-making for non-technical stakeholders.
The Data Analyst will support global data initiatives by improving multilingual text classifiers and developing parsers in collaboration with Linguistics and Engineering teams. Responsibilities include translating key taxonomies and performing data cleaning and analysis to ensure high-quality labor market insights.
The Lead Data Analyst will facilitate workshops to gather requirements and produce actionable data insights through reports, dashboards, and visualizations. They are also responsible for managing, coaching, and developing a team while advising customers on technical data strategies.
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You will own the analytical relationship with the marketing function, building models and dashboards to drive decision-making. Additionally, you will manage the marketing measurement architecture, including attribution, event taxonomy, and data quality standards.
The role involves enhancing the quality of digital maps by conducting research and evaluation tasks in a web-based environment. You will verify and compare data to determine the relevance and accuracy of information for AI model training.
You will partner with product and business teams to define success metrics, design experiments, and evaluate feature impact. Additionally, you will build analytical frameworks and governed dashboards to drive data-informed decision-making across the organization.
You will own analytics across the entire participant lifecycle, including acquisition, onboarding, engagement, and retention. You will build metrics, dashboards, and experimentation frameworks to improve participant health and marketplace liquidity.
You will own end-to-end mobile and transaction feed analytics, including monitoring key payment metrics and building self-serve dashboards. You will also partner with product and engineering teams to define tracking requirements and deliver actionable insights for the Payments domain.
The role involves launching and maintaining end-to-end BI systems to transform raw data into actionable business insights. You will also be responsible for developing revenue forecasts, running A/B tests, and identifying user behavior patterns to optimize product growth.
Maintain dashboards and provide actionable insights to support Ecommerce, Digital, and CRM teams. Deliver regular performance reports and conduct market analysis to drive business growth and optimization.
The role involves owning end-to-end data management, from production pipelines and dbt models to the creation of north star metrics and dashboards. The analyst will lead experimentation through A/B testing and causal inference to provide actionable product recommendations for the Pro team.
Analyze marketing, product, and payment data to identify growth opportunities and optimize revenue streams. Build analytical reports and dashboards to track product metrics and user behavior patterns.
The role involves owning performance and projects across various products to shape the company's success. Responsibilities include task exploration, coding, and presenting data insights to non-technical business users.
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Lead business, data, and systems analysis activities within Agile technical delivery teams to identify requirements and acceptance criteria. Collaborate with Solution Architects and stakeholders to create data specifications, manage the project backlog in Jira, and document technical user stories.
Lead analytical efforts for the Growth & Activation stream by translating product hypotheses into measurable models and experiments. Design success metrics and decisioning frameworks to optimize customer activation, retention, and revenue.
The Data Analyst III will develop and maintain enterprise reporting frameworks, focusing on report creation, data modeling, transformation, and validation. This role also involves creating executive dashboards and reports to communicate KPIs and strategic insights to leadership.
The Staff Data Analyst will be responsible for building the initial data models and analytics infrastructure from scratch for the new Daily Fantasy Sports product. This includes measuring feature impact through rigorous experimentation and acting as the primary data partner for product leadership.
The Application Analyst - Data will focus on improving data management and integration across PLOS's application ecosystem. This includes ensuring data consistency and accuracy, monitoring data quality, and providing end-user support.
Develop thought-leading research and strategic advice on emerging technologies in AI data security and identity management for global clients. Engage with clients through meetings, presentations, and inquiries to provide actionable insights and support their business objectives.
The role focuses on validating and approving CRM data migrations to ensure completeness, accuracy, and consistency before production deployment. It involves designing automated validation queries and investigating root causes of data discrepancies.
Manage the day-to-day Data Privacy programme, including drafting policies, conducting DPIAs, and reviewing supplier DPAs. Perform risk assessments and lead audit sessions to ensure compliance across global jurisdictions.
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Administer and maintain CRM platforms while ensuring data quality and governance standards. Implement scalable automation and AI-assisted solutions to improve operational efficiency and reporting capabilities.
The role involves administering Salesforce platforms, maintaining data quality, and building operational reports and dashboards. Additionally, the analyst will identify opportunities for automation and AI-assisted solutions to improve business processes.
The Senior Data Analyst will research product hypotheses to optimize key metrics like ROAS and churn rate while collaborating with cross-functional teams to drive product innovation. You will also own business metrics for advertisers and retailers and provide analytical support during the sales process.
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