26 to 50 of 83 Senior Data Analyst Jobs in the UK excluding London

Senior Data Analyst - Data Governance/Mapping - sought by investment bank based in London *inside iR35 - umbrella* Key Responsibilities Conduct root cause analysis of data issues and implement effective solutions. Manage and resolve data-related issues independently or collaboratively. Perform data modelling, mapping … standardisation activities. Profile data to ensure compliance with established standards. Oversee data retention practices and coordinate offshore resources. Provide guidance and mentorship to junior analysts. Hands-on use of data interrogation and analysis tools. Skills & Experience Strong data analysis and interrogation capabilities. Experience in issue management ...

Senior Commercial Data Analyst Location: London (Hybrid, 1-2 days per week) Salary: £42,700-£53,700 + annual bonus A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role … blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines. What You'll Do: Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy Build dashboards and reporting tools (Power BI or similar) and support ...

Senior Data AnalystUp to £70,000 * Remote (London-Based)Recruiting on behalf of a high-growth global tech company We're hiring a Senior Data Analyst for a fast-scaling international tech business with millions of active users worldwide. This is a fully remote role … London-based for time-zone alignment) and offers the chance to work across Marketing, Finance, Product, and Growth in a highly data-driven environment. You'll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. ...

Senior Data Analyst - Job Description Location: Nottingham (3 days in office - Tues, Wed, Thurs) Salary: Up to £52,000 (can send up to £55k) Employment Type: Permanent Company: A global bank. Team Structure: Total Data Analytics team: 35 analysts Sub-teams include: - Customer Campaigns (campaign building … placement depends on skillset and headcount, decided at offer stage. Internal movement across teams is common. Role Overview: A core analytics role focused on data extraction, manipulation, insight generation, and stakeholder collaboration. You will work with cross-functional teams to understand requirements and deliver analytical solutions that drive business ...

client an award winning SaaS organisation is seeking an experienced Senior Data Analyst focusing on building core data capabilities across multiple global regions and markets. You’ll play a pivotal role in improving customer success and driving impact across Customer Experience, Digital Experience and Service Delivery. … Central London location, hybrid, 10 month contract. Required Skills : 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau ...

SENIOR DATA ANALYST - MARKETING SCIENCE UP TO £65,000 + BENEFITS LONDON - 4 DAYS PER WEEK IN HAMMERSMITH Please note: you must have full UK right to work and be able to commute to Hammersmith four days per week. ABOUT THE BUSINESS This is a fast-growing … markets. The business combines content, advertising, and subscription revenue models and is undergoing rapid growth in its analytics capability. With a strong emphasis on data-driven decision-making, the company is investing heavily in measurement frameworks that enable smarter spending, sharper marketing effectiveness, and sustainable subscriber growth. THE TEAM ...

Effective Economic Crime Risk Management is underpinned by our capacity to interpret and analyse the information and data held in relation to our customers, products and services. Our 2LOD Economic Crime Compliance team are looking for an experienced Senior MI & Data Analyst (AML) to support ...

seeking a fluent Spanish speaking Business Intelligence/Data Modelling Analyst to join an expanding analytics department within the Travel & Logistics sector. This role is based in Birmingham and will focus on leveraging data to provide actionable insights and new modelling techniques to enhance commercial ROI. Client … demand planning analytics Deploy predictive and advanced modelling techniques to support Pricing, Marketing and Operational departments in their strategic decision making Analyse complex data sets to identify trends and insights. Provide accurate forecasts to support decision-making processes. Collaborate with cross-functional teams to gather data requirements. Ensure ...

training and career coaching included? Then you’ll want to hear about the UK’s leading Returners Programme and the opportunities to join our Data & Analytics Practice . Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers … opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...