1 to 25 of 54 Permanent Visualisation Jobs in Slough

to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with the ability to control communication flows More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You 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 ❯

robust data pipelines for reliable reporting. Data Analysis & Modelling – Identify trends, forecast water demand, and improve business processes. To align the metering programmes with the wider business priorities. Data Visualisation – Present insights clearly for technical and non-technical stakeholders. Collaboration – Work with analysts and stakeholders to translate business needs into action. Operability – Improving operational efficiency which will oversee end to More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

of leading large-scale, high-impact programmes, preferably in the life sciences sector. Demonstrated expertise in designing and delivering complex analytics and research solutions, including survey design, advanced data visualisation, and automation Advanced proficiency in Excel and PowerPoint for data manipulation, analysis, and executive-level presentations. Strong understanding of LLMs (Large Language Models), GenAI, and emerging analytics technologies, with the More ❯

business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable data solutions supporting ambitious growth plans Data Intelligence & Visualisation Create compelling visualisations and interactive dashboards using QlikSense Drive data literacy initiatives across the organization Present insights that inform senior-level decision making Technology Innovation Assess and integrate market-leading More ❯

compliance with data privacy regulations and internal security standards. Maintain high standards of data quality, lineage, and accessibility, analytics & Business Intelligence Deliver actionable insights through advanced analytics, reporting, and visualisation tools. Partner with commercial, finance, and operational teams to identify and solve business challenges using data. Support with KPI tracking, board reporting, and portfolio-level analytics. Candidate Profile: Proven experience More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling 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 ❯

and external partners to ensure analytics projects meet business requirements and are delivered successfully. About You The ideal candidate will have: Strong SQL skills and proven experience with data visualisation tools, particularly Power BI. A background in commercial or financial analytics, with the ability to translate data into strategic insights. Experience managing or mentoring analysts and fostering a best-practice More ❯

lead, mentor, and inspire analysts A strategic thinker who can influence product direction and bring stakeholders on the journey Strong SQL expertise and confident with complex queries Skilled in visualisation tools (Tableau, Looker, Power BI) and presenting data in a way that drives action Hands-on with web analytics tools (Google Analytics, Adobe Analytics, or similar) Deep experience in experimentation More ❯

Office, IT, Compliance, Risk etc.) The Candidate: MUST HAVE Business Analyst/Change Analyst experience specifically within Investment Operations. Advanced Excel (specific experience with data analysis) Experience with BI visualisation tools (e.g. Power BI) SQL is desirable, or a willingness to learn Wealth management and/or Financial Services experience, gained within an Investment Operations support environment Strong analytical skills More ❯

multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or Azure Capability of contributing across the full development Ability to navigate both innovative, agile More ❯

in Controlling, Finance, data Analysis or similar field. 1-2 years of relevance experience (Internship experience included). High degree of competency within MS Office, especially within Excel (Data Visualisation). Dynamic, rigorous, and proactive with good interpersonal and communication skills. Excellent analytical and synthesis skills. What we offer: Competitive basic salary accompanied by an attractive bonus based on your More ❯

Demand-Gen and other emerging campaign types is a plus A data driven mindset with a can-do attitude Strong Microsoft Excel skills, including pivot tables, vlookups and results visualisation Experience creating reports in Looker Studio or similar platforms Excellent problem solving skills and attention to detail Ability to manage multiple tasks and priorities simultaneously Strong communication and collaboration skills More ❯

Experience tracking on-site user journeys to identify areas of improvement Strong experience using SQL Experience in Google Analytics A/B testing experience with tools such as Optimizely Visualisation experience with tools such as Looker Studio/Power BI/Tableau BENEFITS Up to £50,000 Opportunity to grow and develop your career HOW TO APPLY Please register your More ❯

suitable Senior Associate include: 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal) Background in segmentation, marketing analytics, or go-to-market planning Thrive in ambiguity and complexity, with a knack for finding the “so what More ❯

study or internship experience is a plus. Experience: Relevant experience in e-commerce, retail, consulting, in category analysis/product operations is preferred; familiarity with Excel, SQL, Python, or visualization tools is preferred. Core Competencies: Fluent in Mandarin, curiosity and strong analytical thinking, good communication skills, eagerness to learn in a fast-paced environment, and proficiency in English for data More ❯

it with guidance from seniors. Ability to convert data into actionable insights that inform strategic decision-making. Experience creating reports, memos and presentations (PPT, Word, Excel) including with data visualisation (charts, models, tables). Strong written and verbal communication skills with experience interacting with senior internal and external clients and stakeholders. Organized, enthusiastic and hard-working, with ability to manage More ❯

data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or other visualisation tools) Knowledge of data governance, GDPR, and data cleansing best practices Stakeholder engagement and commercial acumen Background in organisations like charity, membership, not-for-profit, or similar sectors is a More ❯