4 of 4 Remote Data Analysis Jobs in South Yorkshire

and performance - Dialler systems(business transmission and customer interaction) - Payments activity (online payments, bank transfers, card payments over the phone - B2C Communications frequency and customer behaviour - Peaking and troughing analysis of collections performance - Payment types and pattern recognition - On time payments and payplans Provide concepts to enhance collections performance - Dialler campaigns - Marketing communications Development and Monitor collection KPIs (Recovery … Support Contact Centre management, Compliance management and Senior management related issues; Education Economics and maths. Economics, applied mathematics, finances, mathematical statistics. Social sciences. Sociology, political sciences, marketing. Computer sciences. Data analysis, databases, programming, information technology. Experience Debt collection or unsecured lending business (loans, credit cards, lines of credit) E-commerce, marketing Required hard skills SQL. Any dialects (MySQL … PgSQL, MsSQL). CTEs, window functions, hard queries, stored procedures. Mathematical statistics. Different types of distributions, correlation, regressions, hypothesis testing. Excel proficient level. Data sorting, data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be … really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting skills … Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home More ❯

work closely with stakeholders across the business to analyse processes, gather requirements, and deliver digital solutions using Microsoft Power Platform. You'll also bring your expertise in SQL and data warehousing to support data-driven decision-making and system integration. This role blends business analysis with systems analyst responsibilities-ensuring our digital tools are aligned with business … processes, and user stories. Design and deliver digital solutions using Microsoft Power BI, Power Automate, and Power Apps. Develop and maintain SQL queries and scripts to support reporting and data analysis. Support and enhance data warehousing solutions to improve data accessibility and integrity. Collaborate with stakeholders to define and document system specifications and workflows. Translate complex IT … of the business intelligence (BI) strategy and reporting frameworks. Support change management initiatives and champion continuous improvement. Experience needed Strong hands-on experience with SQL for querying, reporting, and data transformation. Practical knowledge of data warehousing concepts and tools. Proven ability to analyse and improve business processes using digital tools. Experience designing and building solutions with Microsoft Power More ❯

early warning signs, to take decisive action to resolve issues and maintain momentum to protect outcomes across complex delivery landscape. Strong analytical skills, experience of using a range of data analysis tools, techniques and providing independent interpretation of portfolio data. Experience of visualising the story of the data and communicate recommendations to a range of senior technical More ❯