101 to 125 of 136 Data Analyst Jobs in the North of England

technological solutions and come with a passion for digital technology; working with emerging trends and developments. Experiencing different placements which may involve studying data, analysing business insights and providing data solutions to a range of business issues, with opportunities to evaluate, initiate, create and support business solutions using … digital technology. Utilising data to evaluate the commercial and security risks and benefits of potential digital and technology solutions before making recommendations for strategies that may have far reaching consequences. The scheme will see you specialise in a Data Analyst pathway in your third year of this ...

Partners are delighted to be working exclusively with an exciting company in Harrogate as they look to recruit a Data Analyst to join their team. This is a new and exciting job within a forward thinking business, giving the successful candidate an opportunity to add real value … utilising data to inform commercial decision making. Applicants must have excellent systems skills, relevant experience or a degree in a related subject, as well as the ability to communicate with people at all levels across the business. Skills & Experience Required Strong analytical background Proficiency in Excel, Analytics Experience building ...

time, with the 'right' messages. They specialise in media strategy, planning/buying, auditing, lead generation & training. They are looking for a rock-star data analyst, who will offer analysis and insights to help them acquire customers at scale. You will extensively interact with other teams such … Sales, Operations, and Marketing. Your input will help shape business decisions and marketing budget investments. KEY DUTIES Leverage data to understand in depth paid marketing channel performance across PPC, SEO, paid social media, YouTube, GDN, and others Identify areas for growth and support campaign managers to implement changes ...

talents could see you creating innovative solutions, helping our clients transform the way they do business. Role On our Technology Degree Apprenticeship (Project Management Data Analyst) Programme, you’ll help deliver impactful technology changes across a huge range of industries. Depending on your role, you could be doing ...

allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: • In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that … used by millions of people worldwide • Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference ...

This is not a reporting role. This is a hands-on, commercially focused analytics position for someone who enjoys turning complex data into insight that genuinely shapes business decisions. Youll join a growing, data-driven organisation operating at scale across the UK energy and infrastructure space. The business … analytical rigour and ownership and gives analysts the space to do meaningful work, not just respond to requests. The Opportunity As a Planning & Performance Analyst, youll work at the intersection of data, operations and commercial decision-making. Your role is to understand how the business really works, translate ...

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 ...

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 ...