376 to 400 of 1,517 Remote Visualisation Jobs

to someone who sees a future as a Head of BI & Data Engineering. Current tech stack is - ETL (Azure Data Factory) > DW (Azure SQL) > Data Models (Azure Analysis Services) > Visualisation (Power BI). Key areas of role include: Ensuring scalable, secure, and reliable data and BI architecture, including designing and building robust Data Models that are fit for purpose. Support More ❯

software development approaches, platforms, and best practice. Experience of Microsoft365, SharePoint, Power BI, Dataverse, and PowerApps solutions Advanced Excel and VBA skills. Understanding of data science, data analysis, and visualisation tools and best practice. Leading client interactions and building trusted-advisor relationships with new and existing clients, on both short-term and long-term engagements. Effectively managing delivery teams Excellent More ❯

initiatives. - Deliver reports in Tableau or Power BI and drive best practice in data visualisation. Skills & Experience Essential: - Strong SQL skills for deep analytical querying and insight generation. - Data visualisation experience using Power BI or Tableau. - Previous experience working in financial services or risk-focused environments. - Ability to turn data into actionable recommendations. Desirable: - Experience in credit risk, lending analytics More ❯

initiatives. - Deliver reports in Tableau or Power BI and drive best practice in data visualisation. Skills & Experience Essential: - Strong SQL skills for deep analytical querying and insight generation. - Data visualisation experience using Power BI or Tableau. - Previous experience working in financial services or risk-focused environments. - Ability to turn data into actionable recommendations. Desirable: - Experience in credit risk, lending analytics More ❯

reliability Contributing to data documentation and process standardization Qualifications A Master’s degree in a Quantitative discipline (preferred) 3–5 years of experience in data analytics, insight generation, and visualization Big data analytics projects in an industry setting Advanced SQL and PySpark development Data transformation and big data pipeline design Python programming fundamentals Familiarity with big data platforms and version More ❯

reliability Contributing to data documentation and process standardization Qualifications A Master’s degree in a Quantitative discipline (preferred) 3–5 years of experience in data analytics, insight generation, and visualization Big data analytics projects in an industry setting Advanced SQL and PySpark development Data transformation and big data pipeline design Python programming fundamentals Familiarity with big data platforms and version More ❯

through data centralisation and reporting for the WiseEnergy Commercial and ESG team. The role involves leveraging systems such as the Contract Lifecycle Management (CLM) system, Microsoft data automation, and visualization platforms to support strategic initiatives. Key Responsibilities: Data Centralisation: Collaborate with internal teams to centralise commercial datasets, ensuring consistency and alignment with business processes. Reporting: Design and implement Power BI More ❯

London, England, United Kingdom 1 day ago London, England, United Kingdom 6 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Data Visualisation Engineer - £60k base + bonus London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Data Engineer - Fintech – up to £120,000 plus bonus Greater London More ❯

CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Key Terms Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work. More ❯

in SQL and either Python or R for data analysis. Hands-on experience with product analytics tools (e.g., Google Analytics, Contentsquare, Firebase, or Appsflyer). Strong skills in data visualisation using tools like Tableau or Looker. Expertise in A/B testing, cohort analysis, and statistical evaluation. Excellent analytical and communication skills, with a strong attention to detail. Experience working More ❯

facilitating clear and effective collaboration within and outside the team. Desirables: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code management. An understanding of C#/Javascript to identify system-driven data transformations. Experience using cloud solutions More ❯

facilitating clear and effective collaboration within and outside the team. Desirables: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code management. An understanding of C#/Javascript to identify system-driven data transformations. Experience using cloud solutions More ❯

facilitating clear and effective collaboration within and outside the team. Desirable: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code management. An understanding of C#/Javascript to identify system-driven data transformations. Experience using cloud solutions More ❯

CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Key Terms Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work. #J-18808-Ljbffr More ❯

Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric's suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high More ❯

making. A highly analytical, critical thinker, and natural problem-solver. Strong understanding of Business Analysis tools and best practices. Exposure to data analysis, data management, data modelling, and data visualization, including SQL and Tableau. What you’ll get from us? Flexible hybrid working. 4-day work week Incredibly generous company pension scheme (maximum of 13% of Atom input - you can More ❯

Experience Strong background in data transformation projects SQL and Python for scripting and analytics Airflow (or equivalent workflow orchestration tools) Power BI , and optionally Plotly/Dash for data visualisation Strong experience with AWS or equivalent Spark or Kafka (experience with one or the other expected) Proficiency in data modelling techniques such as Star or Snowflake schema Experience designing and More ❯

Technologies Azure AI Services Azure PaaS Data Services Object Oriented Analysis and Design CI/CD and source control ETL techniques and principles Data modelling Master Data Management Data Visualization Experienced in building Microsoft AI Services Reporting and analytics solutions in the Microsoft Azure ecosystem This is a great opportunity and salary is dependent upon experience. Apply now for more More ❯

with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We’ll start by More ❯

standardize and distribute information Working with IT and security teams to implement security models Mentoring team members and power users on best practices in QVD generation, publishing, and data visualization Managing migration, scheduling, and distribution procedures for applications Supporting IT with support procedures and providing Level 3 end-user support for QlikView issues Following SDLC methodologies Job Requirements, Skills, Education More ❯

skills, facilitating clear and effective collaboration within and outside the team. Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code management. Experience using cloud solutions, particularly Azure and the Fabric Platform. Familiarity with Power Query in Excel More ❯

Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills in data visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary More ❯

building and validating models that drive actionable business insights • Excellent communication skills – translating complex data into clear, actionable insight for any audience • Proficiency in SQL and Python • Strong data visualisation skills and a love for storytelling with numbers • A collaborative mindset and passion for knowledge sharing • Experience applying agile, data-led approaches like test-and-learn • Willingness to engage with More ❯

and preparing documentation, including: Collecting and analysing business requirements related to both process digitalisation and dashboarding needs. Document detailed process/reporting requirements, including process flows, data sourcesKPIs and visualisation preferences. Document the as-is process using standard methodologies (e.g IDEFO), perform analysis on issues/gap with respect to expected behaviour (value stream map etc). Collaborate with teams More ❯

someone with: Strong SQL skills and experience with data engineering or automation. A commercial mindset and the ability to understand business context. Experience with Power BI or similar data visualisation tools. Excellent communication skills and the ability to explain technical concepts clearly. A proactive, collaborative approach and a desire to continuously learn. Experience with Python, Databricks, or Power Platform tools More ❯