Tableau Developer We are looking for a Tableau Developer in our Data team. You will be joining our Analytics Excellence team. In this role, you will hold a range of responsibilities critical to the successful use of Tableau Cloud at Funding Circle. You will be the primary point of contact for complex Tableau issues. You will troubleshoot and help to … resolve Tableau Cloud performance, dashboards, data sources and Tableau Bridge connectivity queries and provide solutions for users. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With … on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Design, develop and maintain performant, scalable and best practice Tableau data sources (e.g. optimised extracts, published data sources), ensuring efficient SQL queries and robust data pipelines feeding into Tableau. Troubleshoot issues and optimize performance in Tableau ensuring security and usability More ❯
Job Title: Tableau Developer Location: London/hybrid Salary/Rate : Up to £270 per day INSIDE IR35 Start Date: 18/08/2025 Job Type: Contract until end of June 2026 Company Introduction We have an exciting opportunity now available with one of our sector-leading financial services clients! They are currently looking for a skilled Tableau Developer … driven decision-making across business units. You will work closely with data engineers, analysts, and business stakeholders to transform complex datasets into actionable insights. Design, develop, and maintain advanced Tableau dashboards and reports tailored to business needs. Ensure visualizations are intuitive, performant, and aligned with user requirements. Connect Tableau to various data sources including SQL databases, cloud platforms, and APIs. … clean, structured, and optimized datasets. Work with business users to gather requirements, understand KPIs, and translate them into effective visual solutions. Provide training and support to end-users on Tableau usage and self-service capabilities. Monitor and improve dashboard performance through efficient data modeling and visualization techniques. Implement best practices for data security, governance, and version control. Maintain documentation for More ❯
landscapes. Familiarity with economic data and financial markets is highly desirable. Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. #J-18808-Ljbffr More ❯
cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google). Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation More ❯
cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google). Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation More ❯
in key tools and platforms, including: Microsoft Office Suite (Excel, Teams, Word, PowerPoint) Atlassian tools (Confluence, Jira) Analytics tools (e.g. SQL, R, Python) Data visualisation software (e.g. Power BI, Tableau) Knowledge of NHS datasets and/or clinical coding Strong organisational skills with the ability to prioritise effectively High attention to detail and a commitment to delivering quality outcomes Flexibility More ❯
the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse More ❯
with other teams (data engineers, data scientists) to identify data sources, build data models and dashboards to provide insights into business operations What You'll Need: Experience working with Tableau or Power BI Bachelor's degree (or equivalent) in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required More ❯
and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or related field. Experience with data visualization tools and libraries (e.g., Tableau, D3.js, Mapbox, Leaflet) for displaying geospatial insights and analytics. Familiarity with real-time stream processing frameworks (e.g., Apache Flink, Kafka Streams). Experience with geospatial data processing libraries (e.g., GDAL More ❯
A STEM degree (or equivalent) from a top-tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI More ❯
A STEM degree (or equivalent) from a top-tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI More ❯
A STEM degree (or equivalent) from a top-tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI More ❯
A STEM degree (or equivalent) from a top-tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI More ❯
analyses Investigate catastrophe model exposure and losses to assess key drivers of model differences Analyze catastrophe model output, claims data, and other data sources using SQL, R, Python, QGIS, Tableau, etc. Create professional reports and visualizations to clearly communicate findings to internal and external stakeholders Assist clients in the understanding of catastrophe risks, sensitivity studies and added analytics based on More ❯
with advanced modelling techniques in dbt. A deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch). Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI) and designing robust BI semantic layers. Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best practices. Proficiency in Git-based workflows with a strong background in More ❯
Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to More ❯
in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯
in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯
data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to solve complex business challenges. Nice to Have: Exposure to More ❯
data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to solve complex business challenges. Nice to Have: Exposure to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's More ❯
understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's More ❯
statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment of ML More ❯
fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling. Experience using data visualization tools such as Tableau or Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as More ❯
fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling. Experience using data visualization tools such as Tableau or Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as More ❯
