16 of 16 Permanent Senior Data Analyst Jobs in the East of England

technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making … clients. You will also work closely with clients to help shape their data strategy As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making … clients. You will also work closely with clients to help shape their data strategy As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making … clients. You will also work closely with clients to help shape their data strategy As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making … clients. You will also work closely with clients to help shape their data strategy As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making … clients. You will also work closely with clients to help shape their data strategy As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

Senior Data Analyst - Chelmsford (Office-Based) Salary: £55,000 per annum + permanent benefits As a Senior Data Analyst, you will provide critical insight to senior leadership, team managers, and various external partners. You'll also play a major part in analysing … interpreting data for re-insurance partners, ensuring the organisation continues to operate with accuracy, integrity, and forward-thinking insight. This role is perfect for an analytical thinker with excellent communication skills who enjoys transforming complex data into clear, actionable insight for non-technical audiences. Duties Producing high-quality ...

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 ...