726 to 750 of 1,716 Visualisation Jobs

as they enter a new phase of development in 2025. ✅ 3+ years' analytics experience ✅ Strong SQL and Python skills ✅ Experience in media/advertising analytics preferred ✅ Familiar with data visualisation tools like Tableau (or similar) ✅ Bonus: basic front-end development skills (HTML/CSS/JS) 💡 Why join? Be part of a small, dynamic team with big impact Work on More ❯

ensuring data is properly formatted and ready for use in business tools such as Power BI, Power Pivot, and Query Provide insight and intelligence along with reports, utilizing data visualization techniques to effectively communicate findings through charts, reports, and dashboards Develop a deep understanding of products and processes through the analysis of data collected Demonstrate strong attention to detail, excellent More ❯

as they enter a new phase of development in 2025. 3+ years' analytics experience? Strong SQL and Python skills? Experience in media/advertising analytics preferred? Familiar with data visualisation tools like Tableau (or similar)? Bonus: basic front-end development skills (HTML/CSS/JS) Why join? Be part of a small, dynamic team with big impact Work on More ❯

anomalies in workforce data Conduct due diligence and validation of data Prepare summary tables, charts, and dashboards to present findings to stakeholders. Use Power BI for large-scale data visualisation and reporting. Maintain version control and documentation for all datasets, models, and outputs. Respond promptly to data queries and ad hoc analysis requests. If you are interested in the role More ❯

requirements through Design, development, testing and deployment of Tableau Dashboards Work under the guidance of Technology Champion to create Customer KPI dashboard solutions Structure ambiguous business problems and recommend visualization solutions Leverage advanced Tableau functionality (parameters, actions, tooltip modifications, API, etc.) to create analytical dashboards. Develop a strong understanding of business requirements; working with business users/business analysts to More ❯

drive increased revenue and workflow from your ideas Responsibilities Microsoft 365 Platform Development: Enhance and expand their use of Dynamics 365, integrating it with their software via APIs. Data Visualization: Build interactive dashboards and heat maps using Power BI to visualize global activity. Automation & Integration: Sync Dynamics with various internal applications and automate credit checks, customer alerts, and marketing workflows. More ❯

looking to hire a Data Scientist to work on their latest AI products. Their cutting-edge platform turns complex data into actionable insights with intuitive AI tools and advanced visualization features, empowering users to make informed decisions effortlessly. Trusted by top defense agencies and Fortune 500 companies, They are expanding rapidly and are looking for a talented Data Scientist to More ❯

Required Skills & Experience as a People Data Analyst: Proven experience in a data analyst role within a People Team environment Strong Excel skills, including pivot tables, formulas, and data visualization Understanding of financial principles, especially related to salary and workforce cost analysis Familiarity with Workday reporting tools (training can be provided) High level of IT literacy and comfort working with More ❯

cubes using Java and SQL. Create rules in Jedox to process and consolidate large datasets. Build reports and templates for Finance team use, as well as dashboards Support future visualization projects with tools like Power BI. Communicate effectively with non-technical colleagues to understand their requirements and deliver technical solutions that meet business needs. What You Need: Ability to explain More ❯

Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow the market trends. Its desirable to have a hands-on experience More ❯

Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow the market trends. Its desirable to have a hands-on experience More ❯

modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau). More ❯

software engineering lead Provide technical mentorship to a junior but eager data science team Tech & Skills Requirements Python (strong requirement) SQL and/or Tableau for analytics and data visualisation Strong grasp of software development principles and how analytics tools integrate with backend systems Broad data science experience, ideally including big data and geospatial analysis Creativity and lateral thinking in More ❯

software engineering lead Provide technical mentorship to a junior but eager data science team Tech & Skills Requirements Python (strong requirement) SQL and/or Tableau for analytics and data visualisation Strong grasp of software development principles and how analytics tools integrate with backend systems Broad data science experience, ideally including big data and geospatial analysis Creativity and lateral thinking in More ❯

cubes using Java and SQL. Create rules in Jedox to process and consolidate large datasets. Build reports and templates for Finance team use, as well as dashboards Support future visualization projects with tools like Power BI. Communicate effectively with non-technical colleagues to understand their requirements and deliver technical solutions that meet business needs. What You Need: Ability to explain More ❯

is appreciated. Overview: The candidate will support the lead Marketing Analytics manager with daily tasks. Strong skills in Google Tag Manager, Google Analytics, and SQL are essential. Experience with visualization tools like PowerBI is a plus. The role requires project prioritization and effective communication with stakeholders. Key Skills (rated 1-10): SQL, in GBQ - 8 GA4 - 7 Google Tag Manager More ❯

automated testing). Familiarity with data governance tools (e.g., Data Lineage, Data Quality). Experience with tools like Redis , Neo4j , or Apache Arrow . Power BI experience for data visualisation is a plus. What You Bring: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work independently and adapt to changing needs. Passion for cutting-edge More ❯

innovative financial products, including payments, lending, and collections platforms. Key Skills • Understanding of APIs, databases, and system integrations.• Proficiency in tools such as JIRA, Confluence, SQL, Visio, and data visualisation platforms• Excellent analytical, problem-solving, and communication skills.• Experience with Agile/Scrum methodologies.• Experience with Waterfall methodologies• Experience with UI/UX designing and wireframing desirable.• Ability to work More ❯

Abuse Prevention Analytics As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should More ❯

models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk decomposition) Design and implementation of risk and scenario GUI/visualization tools (dashboards). Development of option pricing & volatility models in partnership with the Quant Technology team Handling of large data sets, use of machine learning techniques to enhance traditional risk More ❯

QA, WFM, BI and Tech teams. - Excellent data validation and interpretation skills. Desirable: - Experience with Zendesk or other CRM platforms. - Background in consumer services, telco, betting, or utilities. - Data visualisation with Power BI, Tableau, or internal tooling. Benefits - £5 daily food allowance with access to an on-site restaurant. - Free on-site gym membership. - Free parking and flexible start/ More ❯

QA, WFM, BI and Tech teams. - Excellent data validation and interpretation skills. Desirable: - Experience with Zendesk or other CRM platforms. - Background in consumer services, telco, betting, or utilities. - Data visualisation with Power BI, Tableau, or internal tooling. Benefits - £5 daily food allowance with access to an on-site restaurant. - Free on-site gym membership. - Free parking and flexible start/ More ❯

offboarding processes across HR platforms. Prepare and manage data feeds for workforce planning. Generate HR reports and analytics to support leadership decisions. Conduct complex data analysis using Excel and visualisation tools like Power BI and Tableau. The role offers a competitive package of up to £85,000 p.a. on a permanent basis + bonus and benefits. You will benefit from More ❯

experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data More ❯

functional teams Ability to manage time effectively and meet deadlines in a fast-paced environment Experience with data preprocessing and feature engineering techniques Familiarity with statistical analysis and data visualization tools Willingness to learn and adapt to new technologies Key behaviours Strong analytical and problem-solving skills Adaptability to rapidly changing environments Proactive and self-motivated attitude Excellent communication and More ❯