357 Data Insights Analyst jobs in the United Kingdom

Get AI-powered advice on this job and more exclusive features.nAbout Everest

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.nTitle:

Claims Data Insights Analyst

Company:

Everest Advisors (Uk), Ltd.

Job Category:

Claims

Job Description:

About Everest

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

About the role:

Are you passionate about turning data into actionable insights? Join our Reinsurance Claims team as a Claims Data Insights Analyst and help shape the future of claims analytics. This is a fantastic opportunity to work in a dynamic environment where your analytical skills will directly support strategic decision-making and operational efficiency. The Claims Data Insights Analyst will support the Reinsurance Claims team by assisting in the development and analysis of data models and reports. This role is responsible for gathering data, maintaining dashboards, and performing initial analysis to support the tactical and strategic initiatives of the Reinsurance Claim Department. The Analyst will work closely with internal constituents to ensure the accuracy and integrity of data and reporting.

Key Responsibilities:

Develop reports and dashboards by gathering requirements and running queries.nSupport senior claims management with routine reporting and initial data analysis.nPerform data quality checks to ensure accuracy and integrity.nIdentify trends and patterns in complex data sets for further review.nConsolidate data from various sources into effective reporting platforms.nCompile industry, peer, and macroeconomic data for analysis.nPrepare materials and reports for management review.nProvide data support to the technical claims team and liaise across departments.nAssist in workflow analysis to improve operational efficiency.

Qualifications & Skills:

Proven organizational skills; able to work independently and collaboratively.nExcellent written, verbal, and interpersonal communication.nAnalytical mindset with attention to detail and accuracy.nIntellectual curiosity and eagerness to learn.nFamiliarity with reporting tools (e.g., Power BI, QlikView) and willingness to learn.nBasic knowledge of databases (SQL Server, MS Access) preferred.nExperience with document management systems (e.g., OnBase, ImageRight, SharePoint) is a plus.nSolid understanding of statistics and Excel-based data analysis.nAdvanced PC skills, especially in Excel and PowerPoint.

Why Join Us?

Be part of a forward-thinking team driving innovation in claims analytics.nWork on meaningful projects that impact business strategy.nEnjoy a collaborative and supportive work culture.nOpportunities for professional development and growth.

What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.

Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.nOur Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Primary Location:

London

Additional Locations:

Privacy Notice | Everest (everestglobal.com)nSeniority level

Seniority level Entry levelnEmployment type

Employment type Full-timenJob function

Job function Research, Analyst, and Information TechnologynIndustries InsurancenReferrals increase your chances of interviewing at Everest by 2xnGet notified about new Insights Analyst jobs in

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**Job Description:***Location :** Aimargues ; London**Segment :** Royal Canin**Type of contract :** PermanentWe are looking for an **HR Data & Insights Analyst** to join our global P&O (People & Organization) Analytics team. In this role, you will transform complex P&O, financial, and operational data into meaningful insights that shape our people strategy. By combining advanced data analysis with business acumen, you will support human capital planning, enhance the strategic use of metrics, and guide leaders across our business.You will play a key role in driving data quality, building models and forecasts, developing dashboards, and coaching the P&O community on how to leverage insights for impact.* **Education:** Bachelor’s Degree in Human Resources, Business Analytics, Finance, Business Information Systems, or a related field (or an equivalent mix of education and experience).* **Experience:** At least 5 years in HR reporting, HR analytics, or business/finance analytics.* **Data Storytelling:** Strong communicator with proven ability to turn complex data into clear, actionable insights.* **Technical Expertise:** Expert-level proficiency in Excel. Skilled in data visualization best practices and standards for business users. Hands-on experience in data cleansing, modeling, and mining.* **Analytical Skills:** Track record of developing metrics, conducting statistical analysis, and building reliable forecasts.* **Translate business needs into data requirements** by identifying the right data sources and metrics for P&O effectiveness projects and processes.* **Apply advanced analytics** to provide quantitative insights that highlight organizational challenges, measure efficiency, and demonstrate ROI on key P&O initiatives.* **Partner with stakeholders, colleagues, vendors, and leaders** to co-create innovative analytical solutions, ensure data quality, and enhance data usage across the organization.* **Identify and forecast workforce trends** by turning raw data into clear, compelling stories and actionable insights that strengthen people processes.* **Build and deliver impactful presentations** to educate and engage stakeholders on trends, challenges, and opportunities.* At Mars, we believe in a relationship of mutual trust, dignity and respect between our company and Associates that is more meaningful than the standard employer/employee relationship.* As Associates, we can expect to be respected, supported and valued as individuals, to be treated fairly and equitably.* You will work in a multicultural environment (more than 40 nationalities) and where your dog will be welcomed by more than 100 other Associates’ dogs at the office!* You will work in a unique campus, which gathers more than 800 Associates working for: the international HQ, the French subsidiary, two laboratories, a kennel and a cattery with more than 200 cats & dogs, and finally the most important factory of the Royal Canin groupn#J-18808-Ljbffrn

Our client, a prominent e-commerce company, is seeking a highly skilled and analytical Senior Data Analyst to join their dynamic marketing team. This position is fully remote, offering the flexibility to work from home across the UK. You will be responsible for extracting meaningful insights from complex datasets, identifying trends, and providing strategic recommendations to optimize marketing campaigns and drive business growth. This role requires a data-driven individual with a passion for uncovering actionable intelligence and a strong command of analytical tools and methodologies.

Responsibilities:

• Collect, clean, and analyze large, complex datasets from various marketing channels (e.g., digital advertising, social media, email, SEO).
• Develop and maintain dashboards and reports to track key marketing KPIs and campaign performance.
• Identify trends, patterns, and insights within marketing data to inform strategic decision-making.
• Conduct A/B testing and other experiments to measure the effectiveness of marketing initiatives.
• Build predictive models to forecast campaign performance and customer behavior.
• Collaborate with marketing managers and stakeholders to understand their data needs and provide tailored analytical support.
• Communicate complex analytical findings and recommendations in a clear, concise, and actionable manner to both technical and non-technical audiences.
• Contribute to the development of data governance standards and best practices.
• Stay up-to-date with the latest advancements in data analysis techniques, tools, and technologies.
• Mentor junior analysts and foster a data-driven culture within the marketing department.

Qualifications:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Marketing Analytics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with a focus on marketing analytics or customer insights.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
• Advanced knowledge of statistical analysis techniques and methodologies.
• Experience with programming languages commonly used in data analysis, such as Python or R.
• Familiarity with digital marketing platforms (e.g., Google Analytics, Google Ads, Facebook Ads Manager) and their data.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and manage multiple projects effectively in a remote setting.

This role is based in Liverpool, Merseyside, UK , but offers a fully remote working arrangement. If you are a talented analyst with a knack for turning data into compelling marketing strategies, we encourage you to apply.

Are you a recent graduate with a passion for data and a knack for uncovering insights? Our client, a leading marketing firm, is seeking a motivated Junior Data Analyst to join their expanding remote team. This is an exceptional opportunity to launch your career in a fast-paced, data-driven environment. You will work closely with senior analysts and marketing strategists to transform raw data into actionable intelligence that drives campaign success. Your primary responsibilities will involve collecting, cleaning, and analyzing marketing campaign data from various sources. You'll utilize your analytical skills to identify trends, measure performance, and generate comprehensive reports for internal stakeholders. This role requires a strong foundation in statistical analysis and proficiency with data visualization tools. You will contribute to A/B testing design and analysis, providing valuable feedback on campaign effectiveness. The ability to communicate complex findings in a clear and concise manner, both verbally and in writing, is crucial for this position. As a fully remote intern, you'll have the flexibility to manage your workload effectively and contribute to projects from anywhere, while still being an integral part of our collaborative team culture. We are looking for individuals who are eager to learn, possess strong attention to detail, and are adept at problem-solving. This internship offers hands-on experience with real-world marketing challenges and the chance to develop a robust skillset in data analysis and interpretation. You will gain exposure to various analytical techniques and contribute to strategic decision-making processes. The ideal candidate will have a strong academic background in a quantitative field and a genuine interest in marketing analytics. Your contributions will directly impact client strategies and the overall success of marketing initiatives.

Key Responsibilities:

• Collect, clean, and organize marketing data from diverse sources.
• Perform statistical analysis to identify trends, patterns, and key performance indicators (KPIs).
• Develop and maintain regular performance reports and dashboards.
• Assist in the design and analysis of A/B tests and other marketing experiments.
• Interpret data to provide actionable insights and recommendations to marketing teams.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data accuracy and integrity throughout all analytical processes.
• Stay updated with the latest trends and tools in data analysis and marketing analytics.
• Present findings to team members and stakeholders in a clear and concise manner.
• Contribute to ad-hoc data requests and analytical projects as needed.

Qualifications:

• Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proficiency in data analysis tools such as Excel, SQL, and Python/R (preferred).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong understanding of statistical concepts and methods.
• Excellent analytical and problem-solving abilities.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.

Our client is seeking a highly analytical and insightful Sports Data Analyst to join their dynamic team. This role focuses on leveraging data to enhance athletic performance, inform strategic decisions, and gain a competitive edge. You will be responsible for collecting, processing, and analysing vast datasets from various sports events and training sessions. Your insights will be critical in identifying trends, evaluating player performance, and providing actionable recommendations to coaches and management.

Key duties include developing and implementing statistical models, utilising advanced data visualisation tools, and creating comprehensive performance reports. You will work with a variety of data sources, including performance metrics, biomechanical data, and scouting information. The ideal candidate will possess a strong understanding of sports analytics principles, excellent programming skills (e.g., Python, R), and proficiency in SQL for database management. Experience with machine learning techniques and predictive modelling is highly desirable.

You will collaborate closely with coaching staff, sports scientists, and other performance personnel to ensure data-driven insights are effectively integrated into training and game strategies. The ability to communicate complex findings in a clear, concise, and compelling manner to both technical and non-technical audiences is paramount. This hybrid role requires a proactive approach to problem-solving and a passion for the intersection of sports and data.

We are looking for an individual with a proven track record in sports data analysis, preferably within a professional sports environment. A degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Sports Science is required. Excellent analytical, critical thinking, and communication skills are essential.

This position offers a hybrid working model, combining remote flexibility with in-office collaboration. The role is based in Leeds, West Yorkshire, UK .

Our client, a forward-thinking leader in the mining industry, is actively seeking a talented Remote Data Scientist to join their expanding analytics division. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will play a pivotal role in extracting valuable insights from vast datasets generated by mining operations, using advanced statistical techniques and machine learning algorithms to drive operational efficiency, improve safety, and optimise resource utilisation. This role requires a strong quantitative background, exceptional analytical skills, and a passion for solving complex problems in the resource sector.

Responsibilities:

• Develop and implement predictive models to forecast equipment maintenance needs, production yields, and potential safety hazards.
• Clean, process, and transform large, complex datasets from various mining operations (e.g., geological, operational, sensor data).
• Design and conduct A/B tests and other statistical experiments to evaluate the impact of process changes.
• Create insightful data visualisations and dashboards to communicate findings to non-technical stakeholders.
• Collaborate with operations managers, engineers, and geologists to understand their challenges and identify opportunities for data-driven solutions.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
• Develop and maintain robust data pipelines and ETL processes.
• Contribute to the development of data governance policies and best practices.
• Present findings and recommendations clearly and concisely, supported by strong data evidence.
• Actively participate in remote team meetings and contribute to a collaborative virtual work environment.

Qualifications:

• MSc or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of data-driven projects.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL for data extraction and manipulation.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent understanding of statistical modelling, machine learning algorithms (regression, classification, clustering, deep learning), and data mining techniques.
• Experience with data visualisation tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Strong analytical and problem-solving skills with the ability to think critically.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
• Demonstrated ability to work independently and manage time effectively in a remote setting.
• Prior experience or a keen interest in the mining or natural resources sector is highly desirable.

This is an exceptional opportunity to leverage your data science expertise in a challenging and impactful industry from the comfort of your own home.

Our client, a forward-thinking leader in the mining sector, is seeking an exceptional Senior Data Scientist to drive innovation through advanced analytics. This fully remote role offers the opportunity to leverage vast datasets to optimize mining operations, improve safety, and enhance resource extraction efficiency. The successful candidate will work from anywhere in the UK, collaborating with global teams.

Key Responsibilities:

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze complex mining data.
• Identify key performance indicators and predictive insights to optimize exploration, extraction, and processing operations.
• Collaborate with geologists, engineers, and operations managers to translate business challenges into data science solutions.
• Design and conduct A/B tests and other experiments to validate model performance and operational impacts.
• Clean, preprocess, and transform large, disparate datasets from various sources (e.g., sensors, geological surveys, operational logs).
• Develop data visualization dashboards and reports to communicate complex findings to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Ensure data integrity, security, and ethical use of data across all analytical projects.
• Propose and develop new analytical methodologies and tools to address emerging industry needs.
• Present findings and recommendations to senior management to inform strategic decision-making.

Qualifications and Skills:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a strong preference for experience in the mining, energy, or heavy industry sectors.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and database management.
• Proven ability to develop and deploy machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Outstanding analytical, problem-solving, and critical thinking skills.
• Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts clearly.

This is a unique opportunity for a talented data scientist to make a significant impact on the future of mining, working remotely on cutting-edge projects.

Business Intelligence Analyst

Excellent opportunity within a progressive company for a BI Support Analyst.

• Gather and analyse business requirements for reporting and data insight needs, ensuring solutions add real value.

• Provide support for users of BI tools, answering queries and resolving issues.

• Ensure effective integration of data across systems, working with subject matter experts.

• Maintain clear documentation for BI solutions and processes.

• Contribute to the maintenance and improvement of the central data platform and BI ecosystem.

• Support the implementation of good data governance practices across the organisation.

• Coordinate or support testing of BI developments and changes.

• Monitor the performance and availability of BI tools and ensure service standards are met.

Opportunities in the Role:

• Shape the future of the organisation's BI strategy and roadmap.

• Influence and improve data-driven decision-making across all business areas.

• Build strong relationships across departments and external partners.

• Gain broad exposure to business operations and develop both technical and strategic skills.

• Contribute directly to transformation projects through meaningful insight and analysis.

Skills & Experience:

• Strong experience with BI and analytics tools.

• Excellent analytical skills and the ability to interpret complex data needs.

• Advanced Excel skills (eg pivot tables, formulas, data manipulation).

• Proven ability to translate business requirements into BI solutions.

• Good understanding of data warehousing, ETL, and data modelling.

• Strong knowledge of data quality, governance, and management.

• Proficiency with SQL and cloud-based databases.

• Effective communicator for both technical and non-technical audiences.

• Experience documenting BI solutions, including data dictionaries and metadata.

• Hands-on experience with Qlik Sense and NPrinting.

• Understanding of Master Data Management (MDM).

• Exposure to other BI tools (eg Power BI, Tableau).

• Basic Scripting skills (eg Python)

• YOU MUST possess excellent communication skills, be local to Milton Keynes and be eligible to work in the UK

Business Intelligence Analyst – Midlands

Midlands (Hybrid – 1–2 days in office)
Permanent | Full-Time
£45,000–£50,000 DOE + bonus + benefits
Reports to: Data & Analytics Manager

Xpertise Recruitment is proud to be working with a forward-thinking business in the Utilities sector , currently looking to expand their data function with the addition of a Business Intelligence Analyst . This is a fantastic opportunity for someone passionate about turning data into actionable insights and delivering high-impact reporting solutions.

The Role

As Business Intelligence Analyst , you’ll be at the heart of transforming how internal and external stakeholders use data. You’ll work closely with customers and business teams to gather requirements, design intuitive dashboards, and deliver BI solutions that drive decision-making and operational efficiency.

This is a hands-on role where you’ll be building and supporting Power BI reports, troubleshooting data issues, and helping shape the BI strategy across the organisation.

Key Responsibilities

• Design, develop, and deploy interactive Power BI dashboards and reports.
• Collaborate with stakeholders to gather requirements and translate them into BI solutions.
• Deliver BI-as-a-service to a wide customer base, supporting business transformation.
• Translate business needs into reports, dashboards, and alerts.
• Troubleshoot and resolve data reporting issues.
• Monitor and maintain internal KPIs.
• Ensure compliance with internal information security policies.

What We’re Looking For

• 3+ years’ experience in BI or data analytics roles.
• Advanced Power BI skills – Power Query, DAX, and data modelling.
• Strong SQL skills and experience with relational databases (e.g., SQL Server, Azure SQL).
• Passion for problem-solving and data storytelling.
• Degree or equivalent experience in a data-related field.
• Excellent communication skills – able to work with technical and non-technical audiences.
• Strong client-facing skills and ability to manage multiple priorities.

Desirable:

• Experience in IT Managed Services.
• Exposure to other BI tools or platforms.

Interested?
Let’s chat! Reach out to Phil Brindley at Xpertise Recruitment to learn more about this opportunity and how it could align with your career goals. Xpertise are acting as an employment agency and business.