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 ❯
Tableau Platform Engineer Contract 5 Months+ Onsite Required Skills: SAP BusinessObjects: • SAP BO - SAP BusinessObjects BI Platform 4.3 Support Pack 4 Patch 7 (Version: 14.3.4.5055) • SAP IPS Application - SAP Data Services (Version: 14.3.3.385) • SAP DS Web App - SAP BusinessObjects BI Platform 4.3 Support Pack 4 Patch 7 (Version: 14.3.4.5055) Tableau: • Tableau Server (Version: 2023.1.7 - 64-bit Windows) • Tableau Desktop - Professional … Edition (Version: 2023.3.0) • Tableau Prep Builder (Version: 2023.3.0) JD: System Upgrades and Patch Management • Perform periodic upgrades of Business Objects as new versions become available. • Apply security patches, bug fixes, and performance enhancements as released by the vendors. • Conduct pre-upgrade assessments, including compatibility checks and testing. • Ensure minimal disruption by scheduling upgrades during agreed maintenance windows. • Provide rollback procedures … performance bottlenecks and optimize configurations to improve responsiveness. • Provide recommendations on system scaling and capacity planning. User Support and Issue Resolution • Offer technical assistance to users experiencing issues with Tableau/Business Objects. • Troubleshoot report generation failures, dashboard performance issues, and connectivity problems. • Maintain a ticketing system for logging and tracking issues, with agreed response and resolution times. Backup and More ❯
analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications) Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or 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 ❯
queries for extracting and analysing large datasets. o Python: Proficient in using Python for data analysis, automation, and model development. o Data Visualization Tools: Experience with tools like Metabase, Tableau, Power BI, or similar for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including More ❯
Agile frameworks and tools such as JIRA or Azure DevOps . Excellent communication skills and stakeholder engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks . 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 ❯
to-Have Qualifications: Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What 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 ❯
In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication, planning, organisation, stakeholder management, and a learning mindset. More ❯
preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems independently as an advanced individual contributor. Adaptability: Demonstrates flexibility and openness to change. Actively seeks and 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 UK government security clearance. Preferred technical and professional experience Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar. Experience with data visualization tools (Power BI, Tableau). Familiarity with Agile development methodologies. Contribution to open-source projects or community involvement. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity More ❯
of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical concepts to both More ❯
of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical concepts to both More ❯
SQL and Python. Experience analyzing large, complex datasets, preferably cloud-based. Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Looker. Degree in a numerate field (Math, Statistics, Economics, etc.). 1-2 years of relevant experience in a fast-paced, digital or commercial environment. Who We More ❯
across departments and manage multiple tasks. Strong problem-solving and critical-thinking skills. Excellent communication skills to present data insights effectively. Desirable Skills Experience with data visualisation tools (e.g., Tableau, Power BI). Familiarity with machine learning concepts and libraries. Knowledge of business intelligence and reporting tools What You Can Expect from Us: At InvestEngine, we're a small, agile More ❯
such as LangChain, Llamaindex and, HugginFace. Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn). Skills in data visualisation tools (e.g.: Tableau, PowerBI). Excellent problem-solving and analytical skills. Skills & attributes Passion for leveraging data to drive social impact and create positive change. Excited by the prospect of working in early 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 ❯
grounding in probability and statistics A solid understanding of credit risk decisioning, strategies, and affordability assessment methodologies. Experience in creating data monitoring and KPIs with tools like PowerBI/Tableau or similar Familiarity with fraud detection and prevention techniques, as well as UK bureau data (e.g., Experian, Equifax, or TransUnion). Excellent analytical and problem-solving skills, with attention to 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 ❯
Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning and innovation. PGIM 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 ❯
