4 of 4 Remote Data Analysis Jobs in Nottingham

Job Title: Data Engineer Location: Hybrid Contract Type: Permanent/Full-Time About the Role Are you passionate about technology and eager to make a real impact? At Buzz Bingo, we’re looking for a Data Engineer who thrives on innovation and enjoys working across a diverse technology stack. The systems you’ll support underpin both our in … club and online customer experiences, giving you the opportunity to influence how thousands of people interact with Buzz Bingo every day. What You’ll Do Data Pipeline Development: Design, implement, and maintain robust ETL/ELT pipelines for ingesting and transforming data from multiple sources. Data Modelling: Create and maintain models that support analytics and reporting needs … ensuring data integrity and consistency. Database Management: Administer and optimize relational databases for efficient storage and retrieval of large datasets. Collaboration: Work closely with software engineers, analysts, and business teams to deliver secure, reusable, and efficient data solutions. Data Quality Assurance: Implement checks and monitoring processes to ensure accuracy and reliability. Documentation: Maintain detailed technical documentation for More ❯

a referral partner. We refer candidates to Mercor that collaborates with the world's leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $100-$120 per hour Location: Remote Duration: 3–4 weeks Commitment: 10-40 hours/week, flexible and asynchronous Role … Responsibilities (Training support will be provided) Conduct statistical failure analysis across finance-sector AI tasks. Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates). Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations. Analyze performance variations across finance sub-domains, file types, and task … categories. Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement. Recommend improvements to task design, rubric structure, and evaluation criteria. Communicate insights to data labeling experts and technical teams. Requirements Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. More ❯

and not an exhaustive list of responsibilities. Collaborating with your Line Manager, you will develop your own objectives but focus on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources … either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and quickly retrieve data. Development of key transactional reports using SSRS, both data from the PAS and Data Warehouse. Creating self-service reporting apps through Power BI. Provide ongoing monthly reporting within a timely manner for exec pack production. Collate, manage … terms and their meaning e.g. Gross Written Premium Knowledge of how an insurance broker operates Minimum 5 GSCE'S (A-C) or equivalent qualifications Experience with MI Reporting and data analysis This is an opportunity for an individual who wants to be part of a highly skilled MI team with strong communication and presentation skills across all mediums More ❯

Job Title: Ai Data Validator (Remote) Location: Remote (Open to qualified candidates located in the US, UK, Canada, Australia, New Zealand, Ireland) Compensation: Competitive pay commensurate with experience and role level; specific salary details will be discussed during the hiring process. Role Overview: We are seeking motivated individuals for a 100% remote role to support content development, research, data … consistency and quality. Key Responsibilities: Write, edit, and proofread engaging and accurate content across various platforms. Conduct thorough research to enhance content quality and relevance. Organise, review, and maintain data and documentation with attention to detail. Assist with project tasks, including content creation, data analysis, and digital coordination. Collaborate with teams to maintain consistent messaging and brand More ❯