601 to 625 of 2,084 Permanent Visualisation Jobs

to contribute to deliverables and perform activities; may lead moderately complex efforts. Experience providing analytical consulting, including current state analysis, requirements documentation, process mapping, and process improvement. Creates data visualization and analytics using Power BI. Required Skills: BS/BA required Experience creating data visualizations with PowerBI Familiar with business designs: business models, functions, processes, job roles and customer interactions More ❯

/hundreds of thousands of touchpoints weekly) Strong analytics background – able to manipulate and interrogate data Hands-on with tools like SQL , Excel , Python/R Exposure to data visualisation tools (Power BI, Tableau, etc.) Collaborative mindset and a strategic view of how data can drive performance 📅 Interview Process: Initial 30-min call with HR Final stage: On-site interview More ❯

into geographical sales trends, market demand, and performance drivers Presenting findings to senior stakeholders, translating technical insights into strategic recommendations Requirements Must-have: Strong SQL expertise and a data visualisation tool, ideally Power BI Preferred: Experience with DBT or Fivetran Solid understanding of cloud-based data warehousing and ETL workflows, such as Snowflake Multiple years of experience in data engineering More ❯

teams Skills & Experience: ✅ Proven experience as a Data Analyst on ERP or large-scale system migration projects ✅ Strong SQL skills and familiarity with Excel, Power BI or other data visualisation tools ✅ Experience working with legacy systems and integrating into modern ERP platforms (e.g., Oracle, SAP, Workday, Unit4, etc.) ✅ Knowledge of data governance and data quality best practices ✅ Excellent communication and More ❯

teams Skills & Experience: ✅ Proven experience as a Data Analyst on ERP or large-scale system migration projects ✅ Strong SQL skills and familiarity with Excel, Power BI or other data visualisation tools ✅ Experience working with legacy systems and integrating into modern ERP platforms (e.g., Oracle, SAP, Workday, Unit4, etc.) ✅ Knowledge of data governance and data quality best practices ✅ Excellent communication and 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 ❯

emerging technologies such as AI and machine learning. What we’re looking for - • Strong analytical thinker with a commercial edge• Confidence working with SQL, Excel/Google Sheets, and visualisation tools (Power BI, Tableau, etc.)• Previous exposure to insurance pricing, regulatory frameworks, and governance is ideal• A collaborative team player, able to influence stakeholders at all levels• Experience or interest More ❯

tools. Experience working with Git, CI/CD pipelines, and in Agile environments. Ability to write clean, maintainable, and well-documented code. Exposure to Power BI or similar data visualisation tools. Knowledge of IoT data pipelines is a plus. More ❯

in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical More ❯

experience in data analytics, with strong SQL, Python, and dbt skills Experience delivering client-facing reports and internal performance insights A background in a B2B business Comfortable with data visualisation tools (ideally Tableau) A natural problem-solver with a proactive, collaborative approach Strong communicator, able to explain complex data concepts to non-technical stakeholders Previous leadership or mentoring experience is More ❯

experience in data analytics, with strong SQL, Python, and dbt skills Experience delivering client-facing reports and internal performance insights A background in a B2B business Comfortable with data visualisation tools (ideally Tableau) A natural problem-solver with a proactive, collaborative approach Strong communicator, able to explain complex data concepts to non-technical stakeholders Previous leadership or mentoring experience is More ❯

in yield, pricing, or forecasting optimisation - ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical More ❯

solutions. • Excellent problem-solving, analytical, and communication skills. • Ability to work independently and as part of a team. • Bonus Points If You Have: • Experience with Power BI for data visualization and reporting. • Familiarity with other Microsoft Azure services (e.g., Azure Functions, Logic Apps). • Knowledge of JavaScript, JSON, or other scripting languages. • Microsoft Power Platform certifications (e.g., PL-100, PL More ❯

Apply statistical, mathematical, and AI models to large and complex datasets Design and implement machine learning algorithms to identify patterns and predict outcomes Develop data pipelines, analytical models, and visualization tools to support decision-making Collaborate with mission teams to translate requirements into data science solutions Perform exploratory data analysis, feature engineering, and model validation Communicate findings through clear visualizations More ❯

intelligence analysis problems. Responsibilities Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines • Optimize existing databases to speed up the query, input, export and visualization of data • Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets • Build custom solutions (tools, processes, etc.) to automate 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 Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and 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 Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and More ❯

team environment, gaining valuable experience in this fast-growing field. Key skills required: Strong Excel skills, including pivot tables Experience with large data volumes; familiarity with databases and data visualization tools is advantageous but training will be provided Analytical and problem-solving mindset Effective communication skills with confidence in presenting and influencing Positive attitude and team player Excellent organizational skills More ❯

implementing process improvements. What you’ll be doing: Designing and building interactive Power BI dashboards that provide key business insights. Leading the evolution of reporting practices, introducing innovative data visualisation methods. Acting as a principal point of contact for consultants, ensuring they have the resources they need to succeed. Coordinating critical communications and projects, supporting the consultancy team’s objectives. More ❯

Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business More ❯

into front-office platforms to enhance portfolio decision-making tools. Maintain proactive communication with cross-departmental stakeholders to understand evolving business needs and translate them into technical deliverables. Utilise visualisation and dashboard tools (such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics More ❯

into front-office platforms to enhance portfolio decision-making tools. Maintain proactive communication with cross-departmental stakeholders to understand evolving business needs and translate them into technical deliverables. Utilise visualisation and dashboard tools (such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics More ❯

of regular hours Desirable Experience/skills: Experience in an elite sporting environment Hands-on experience with similar sports technology (GPS, video analysis, tactical applications, etc.) Experience with data visualisation tools such as Tableau and PowerBI Experience using programming languages like Python, R, C++, etc. Personal Characteristics: Team player mindset Strong communication skills Diligent follower of process with high attention More ❯

Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to More ❯

only crunch the numbers, but also tell the story behind them. The Role You’ll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It’s a hands-on role with plenty of variety — perfect for someone who enjoys making sense of messy data and translating that into insight that drives More ❯