City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯
with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage More ❯
with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage More ❯
and Azure data services such as Data Factory, Blob Storage, or Data Lake. * Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows. * Familiarity with reporting and visualisation tools (e.g., Power BI). * Strong communication skills, with the ability to translate technical detail into business-relevant insights. * Experience working in regulated environments such as pensions, insurance, or financial More ❯
City of London, London, United Kingdom Hybrid / WFH Options
FairPlay Sports Media
understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven ability to effectively manage and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Marc Daniels Specialist Recruitment
senior finance team regarding analysis on P&L and Balance Sheet Ensuring data accuracy and integrity within Power BI reports and underlying data models. Implementing best practices for data visualisation, user experience, and report performance. Supporting the preparation of monthly leadership dashboard reporting, covering financial and operational performance. Supporting the Finance Business Partner regarding Power BI reporting Contributing to the More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Excelly
Key Responsibilities Gather, analyse, and document business requirements from clients and internal stakeholders. Assist in designing and developing dashboards and reports to communicate insights. Support data cleaning, transformation, and visualisation processes. Participate in client meetings to understand project goals and deliverables. Conduct market and competitor research to support strategic recommendations. Contribute to process improvement initiatives and automation projects. Required Qualifications More ❯
saying. WHAT THEY’RE LOOKING FOR: Proven experience in customer, marketing or retail analytics roles Strong SQL skills — confident querying large datasets from cloud data platforms Familiarity with data visualisation tools (e.g. Power BI, Tableau) Experience with customer segmentation, campaign analysis, or store-level performance analytics Strong communication and data storytelling skills — able to influence non-technical audiences Commercially minded More ❯
/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work with business operations to translate data into strategic narratives. Contribute to the long-term business intelligence roadmap. Data Governance More ❯
science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as More ❯
Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
WTW
management frameworks (e.g., NIST, ISO 27001, COBIT) and control environments. Deep understanding of IT general controls, cyber security principles, and technology risk domains. Proven experience in risk analytics, data visualization, and reporting (e.g., using Power BI, Tableau, or similar tools). Familiarity with GRC platforms and risk data management practices. Experience in a risk management, IT audit, or cyber security More ❯
City of London, London, United Kingdom Hybrid / WFH Options
83data
for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable insights from complex data sets. Experience with programming languages like Python or More ❯
product analytics role, with deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such as Tableau or Power BI Proven experience working with large datasets, including data cleaning and validation Excellent communication skills, with the ability to distil complex analytical insights for More ❯
and deliver training sessions to support dashboard adoption Identify opportunities to automate and scale dashboard delivery across projects What You'll Bring Prior experience in Business Intelligence/Data Visualisation Strong command of Power BI, DAX, and SQL - all three are key requirements Previous experience in a client-facing or consulting role Exposure to customer analytics and understanding of commercial More ❯
governance tools including RAID logs, risk registers, action trackers, and issue logs. Design, automate and improve reporting processes using tools such as Power BI , Microsoft Project , Excel , and other visualisation platforms. Collect, analyse, and interpret complex project and programme data (e.g., progress, financials, risks) to inform reports and dashboards for senior stakeholders. Work with project managers and programme leads to More ❯
Data Contracts, Data Agreements or similar capability Familiarity with Enterprise Data Management Toolset ( Collibra , DQIM, IDQ etc.) Working knowledge of data analytics tools and technology Working knowledge of data visualization tools (e.g. Tableau, Power BI) This role is advertised Via Hays SM250806 More ❯
justice, policing, and defence. Knowledge of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. More ❯
and visualizations Collaborate across technical and business teams to drive data-driven decision making Required Experience: 3–5 years' hands-on experience in data analysis, insight generation, and data visualization Proven expertise in SQL and PySpark , with solid working knowledge of Python Background working with big data platforms , large datasets, and pipelines Strong analytical thinking and a collaborative, self-directed More ❯
process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder More ❯
product management for BI/data products. Strong SQL and Python skills. Hands-on experience with any cloud platform (GCP preferred, AWS or Azure fine). Confident with data visualisation tools — Power BI (or Tableau/Looker). Experience working with financial data — banking, insurance, asset management, fintech. Clear communicator, comfortable leading and peer-reviewing technical work. This role cannot More ❯
big-name clients and room to grow into new areas. SKILLS AND EXPERIENCE Required 4-6 years of commercial experience. SQL (confident, independent querying). Power BI (or similar visualisation tools). Excel (advanced). Strong communication skills - able to engage directly with clients. Commercial awareness and ability to link insights to business impact. Nice to have Experience in telecoms More ❯
of A/B testing and statistical methods (e.g. uplift modelling) Confident stakeholder manager — able to work with senior non-technical teams and influence decision-making Experience with data visualisation tools (Power BI, Tableau, or Looker) Familiarity with modern data practices — version control, Git, productionising workflows Bonus: experience with marketing automation platforms like Iterable More ❯
justice, policing, and defence. Knowledge of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. More ❯
systems to design and implement data checks. Exceptional documentation skills, with the ability to understand and present complex calculations in a simple, structured manner. Proficiency in SQL, and data visualization tools (e.g., Power BI), with the ability to give guidance to team members using these tools. Experience with version control repositories, such as Git. Experience setting team roadmaps and coaching More ❯