1 to 25 of 124 Visualisation Jobs in the Thames Valley

Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

the direction of a business that is committed to becoming truly data-first. The Role: You’ll work within the central analytics team, using deep-dive analysis and data visualisation to deliver actionable insights and recommendations that drive business growth. Working closely with senior leaders, you’ll be a key player in enabling a data-driven culture and helping to More ❯

experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability to work with technical/non-technical teams Awareness of data security and compliance best practices More ❯

the firm Skills & Experience Proven experience as a BI Developer or Data Engineer in a financial services or wealth management environment Strong proficiency in Power BI, DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯

Intelligence & Reporting Develop and maintain standard business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI More ❯

BI functions Assisting IT colleagues with technical challenges and contributing to ITIL Change Management You'll be working with tools such as Power BI (DAX, data modelling, transformation, and visualisation), T-SQL, SSRS/Paginated Reports, and APIs. Experience with Fabric, Power Automate, Python, Azure technologies, Office 365, Dynamics 365, and Agile methodologies is a plus. The Person We're More ❯

a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices More ❯

agile team, with full ownership of dashboarding and reporting tools. YOUR SKILLSET: 3+ years in a commercial, analytical role – media, tech, or FMCG a plus Strong SQL Strong Data Visualisation/Reporting experience, in the likes of Power BI, Tableau or Looker Able to simplify complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership More ❯

and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

on experience with NetSuite ERP and proficiency with Excel/Google Sheets; experience with BI tools (e.g., Tableau, Power BI, Looker) a plus Excellent analytical, problem-solving, and data visualization skills Ability to communicate insights clearly and confidently to both financial and non-financial stakeholders. This role is initially a 12 month contract with potential to convert to a permanent More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

and Data Profession framework or equivalent). Advanced knowledge of Microsoft 365 tools, particularly: SharePoint, MS Project Online, Power BI (or similar BI tools), Excel (advanced functions, modelling, and visualisation) and SQL Server Experience working with major systems such as Salesforce CRM, Oracle, and ServiceNow. Strong understanding of data analysis techniques, able to produce clear, compelling, and insightful reports and More ❯

senior stakeholders, connecting data to commercial outcomes Support the marketing team with ROI and attribution analysis Build and refine data models that enable continuous learning and performance tracking 📊 Data Visualisation & Storytelling You’ll create dashboards and reports that empower teams across the business to access insight quickly and confidently. Your visualisations will simplify complexity and help teams understand what matters More ❯

a data-driven customer service or operations environment Expert-level SQL proficiency: confident using advanced SQL and able to review, optimise, and explain complex queries to others Advanced data visualisation skills: highly proficient in Tableau (or equivalent tools), with a portfolio of robust, actionable dashboards built for business stakeholders; must demonstrate ability to design, automate, and troubleshoot end-to-end 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 ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

design and structure of data models, with a working understanding of data modelling principles. Present findings and insights to stakeholders in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development of scalable data solutions within a cloud architecture. Key Skills & Experience: Proven experience as a technical data More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards.If you require any support with More ❯