1 to 25 of 94 Remote Visualisation Jobs in the South East

Role: Insight & Data Analyst Location: Hybrid (Newport Pagnell and WFH) Salary : £50 - 60K + Employee Benefits Key Skills: Strong SQL, PowerBI, Tableau, Python, Data analysis, data visualisation, building interactive and dynamic data dashboards, keen interest in advancing Analytics using ML/AI Why Apply: This is a great opportunity for someone with a talent for transforming raw data into interactive More ❯

on transformed datasets What You’ll Bring: Proven experience as a Data Analyst in a data-focused, engineering-led environment Strong SQL skills and a working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and tools (FME, QGIS, ArcGIS, etc.) Advanced Excel skills More ❯

preparing data for analysis. Presenting data and insights in accessible formats tailored to different audiences. You will need to demonstrate the following skills and experience. Experience in using data visualisation tools, particularly Power BI, to effectively present insights Experience in data analysis within public and/or private sector organisations. Familiarity with Agile delivery environments and collaborative working practices. Proficiency More ❯

preparing data for analysis. Presenting data and insights in accessible formats tailored to different audiences. You will need to demonstrate the following skills and experience. Experience in using data visualisation tools, particularly Power BI, to effectively present insights Experience in data analysis within public and/or private sector organisations. Familiarity with Agile delivery environments and collaborative working practices. Proficiency More ❯

Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge of is R an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively. More ❯

experience supporting data migration projects, including legacy data analysis and transformation. Familiarity with data governance frameworks, including stewardship, ownership, and quality monitoring. Proficiency in SQL, Excel, python and data visualisation tools (e.g., Power BI, Tableau). Experience working with Snowflake would be advantageous Familiarity with Salesforce data models (leads, opportunities, contacts and accounts) Understanding of data privacy regulations (e.g., GDPR More ❯

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 ❯

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 ❯

curiosity to fix it with tech Strong communication skills (you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background What You'll Get Up to £65,000 + 26 days 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 ❯

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 ❯

with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯

What We're Looking For: Strong Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with a genuine interest in using data to solve business problems Quantitative degree from a leading university is essential More ❯

development, engineering, or robotics. Basic knowledge of autonomous navigation technologies (RTK, VSLAM), battery systems, or IoT devices. Familiarity with data analysis tools such as Excel, Python, SQL, or data visualization platforms (e.g., Power BI, Tableau). Salary/Benefits Information: £30,000 - £35,000 + benefits Contact: Rebecca Isaac Reference: RI/95385 Candidate care: By responding to this advert 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 ❯

prioritise work Excellent communication skills, capable of building strong relationships with stakeholders Ability to identify trends and insights, supporting evidence-based decision-making Desirable experience includes knowledge of data visualisation tools such as Power BI or Tableau. What can we offer you? We recognise that our staff are at the heart of what we do so we make sure we More ❯

Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders at all levels. Who You More ❯

insights and performance metrics Partner with operational functions to identify performance drivers, opportunities, and risks through advanced analytics Drive continuous improvement in MI/BI reporting capabilities and data visualisation Leverage tools like Power BI, Tableau and SQL to derive actionable insights from complex datasets Enable predictive analytics and automation to improve operational efficiency and customer outcomes Essential skills/ More ❯

Essential Requirements Product Management experience focused on BI and internal data tools Technical experience with: Cloud platform (AWS, GCP or Azure) SQL (intermediate to advanced) Python (some experience required) Visualisation tools (Tableau, Looker, or Power BI) Interview Process Intro Conversation - with the Co-Founder (30-45 mins) Live Task - screen-sharing session with a technical team member Final In-Person More ❯

Key responsibilities include: Stakeholder Management - Engaging with teams to understand data needs and provide solutions. Data Analysis & Interpretation - Identifying trends, patterns, and insights to drive decision-making. BI Reporting & Visualisation - Creating reports and dashboards to present data effectively. Collaboration with Data Teams - Working alongside data engineers and BI developers to ensure data accuracy and quality. Testing & Documentation - Coordinating user testing More ❯

e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure More ❯

in science, engineering or equivalent in a relevant discipline. Experience analysing data in a utility, infrastructure or engineering context. Strong skills in Excel, SQL and Power BI (or similar visualisation tools). Exposure to Python or R for data manipulation or basic modelling. Understanding of performance frameworks in the sector (e.g. Ofwat, Environment Agency). Knowledge or experience with cloud More ❯

for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as : Looker If you don't have the experience but can demonstrate the passion and knowledge in another way, we would still love to hear from you! What More ❯

Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders with competing deadlines and priorities, ensuring the highest value work gets prioritised and accomplished More ❯

cloud platforms (AWS, Azure, GCP, Snowflake) Strong knowledge of big data technologies (Spark, Hadoop), ETL/ELT, and data modelling Familiarity with Python, R, Java, SQL, NoSQL, and data visualisation tools Understanding of machine learning and AI integration in data architecture Experience with agile methodologies (SAFe, Scrum, Kanban) Reference: AMC/SCU/DSA/3007 Postcode: SW1 #secu More ❯