1 to 25 of 176 Permanent Tableau Jobs in the South East

libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to learn, and ability to work in More ❯

preferred but not mandatory. • Familiarity with additional Oracle Fusion tools like HCM Extracts, Financial Analytics, and Oracle Data Visualisation. • Experience with reporting tools outside Oracle Fusion (e.g., Power BI, Tableau) for comparative data visualisation skills. • Knowledge of cloud computing and understanding of Oracle Autonomous Datawarehouse (ADW), Oracle Data Integrator (ODI) market place and Oracle Cloud Infrastructure (OCI) would be beneficial. More ❯

predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs for product teams. More ❯

scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate technical results into clear, actionable More ❯

Support automation and efficiency initiatives throughout the loan lifecycle. Present insights clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . More ❯

distributed data technologies. Experience using data visualization tools is a plus; · Experienced with Excel to aggregate, model, and manage large data sets; · Familiar with Microsoft Power BI and or Tableau skills, including ability to transform data, develop calculations and measures, develop charts and tables, as well as develop interactive dashboards/reports; · Proficient in PowerPoint and Word; · A science or More ❯

the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯

the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯

auditing. Qualifications: Education: Bachelor's degree in a relevant field. Technical Skills: - Proficient in Microsoft Excel (pivot tables, VLOOKUP, etc.). - Familiarity with at least one data visualisation tool (Tableau, Power BI, etc.). - Basic understanding of statistical concepts and analytical techniques. Soft Skills: - Exceptional attention to detail with a strong commitment to accuracy. - Strong analytical and problem-solving abilities. More ❯

Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply: Please contact Alison Basson quoting More ❯

opportunities, and prioritise effectively . Skilled in problem-solving with a discovery-first mindset and a strategic approach to driving results. Proficiency in data analysis tools (e.g., SQL, Python, Tableau, PowerBI, etc.) and ability to interpret and translate complex datasets into actionable insights. Familiarity with technical concepts and proven ability to collaborate effectively with engineering and data science teams . More ❯

outcome, including designing and delivering technical solutions. Key Skills/Experience: Extensive experience of Data Analytics and Data Science with the ability to use BI tools like Power BI, Tableau etc. Extensive knowledge of Performance Analytics and tooling such as Google Analytics, Google Tag Manager, Amplitude etc. Experience in capturing requirements and Governance & Control documentation, knowledge of GDS is an More ❯

etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Benefits Package and Benefits More ❯

the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯

the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯

Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and More ❯

technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Benefits Package and Benefits: Competitive Salary Bonus More ❯

to detail Hands on experience with code management tools such as Git and DevOps Familiarity with data architectures, data technology and data visualisation tools such as Power BI or Tableau Please download a full job description to see a full person specification and role responsibilities. Flexible and agile working Everyone's personal situation is different. To make the most out More ❯

with large, complex, multi-currency group consolidations (preferably UK/US listed). ERP system experience (e.g., SAP, Oracle). Experience with large datasets and data visualization tools (e.g., Tableau, Power BI). Understanding of IT finance principles. Personal Attributes: Proactive and results-driven. Excellent problem-solving skills. Strong interpersonal skills. Ability to work independently and collaboratively. Highly adaptable and More ❯

manipulation using SAS, Python, and SQL is essential Data extraction and manipulation: Strong MS Excel skills for quick analysis and reporting are essential Familiarity with data visualization tools (e.g., Tableau, Power BI) Risk Modelling: Experience working in statistical models used for capital consumption (LGD, PD estimation) Knowledge of national and international prudential normative: Strong understanding of the Capital Requirements Regulation More ❯

in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics, experience in More ❯

has. Excellent written and verbal communication skills for presenting complex data in accessible terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without sponsorship Ability to More ❯

that build confidence and competence in key data tools, including: Excel (analysis, pivot tables, formulas, charts) SQL (queries, joins, aggregations) Python (data manipulation, logic, best practices) Power BI/Tableau (data visualisation and dashboards) Data Modelling (relational and dimensional concepts) Cloud Platforms (AWS, GCP, or Azure) You'll teach both Rockborne's early-career consultants and external client teams, adapting More ❯

into AI agents, enhancing their capability to make informed content and customisation decisions. What you'll bring: Data analysis and visualisation skills in tools such as Excel, PowerBI/Tableau, SQL, Python and Looker Experience in curriculum and assessment design and evaluation processes Experience with analysis of learner and customer experience metrics in a B2B sales environment Highly driven by More ❯

key insights from data Prior experience and a strong understanding of data analysis software and programming languages including as a minimum Python, SQL and advanced Excel (additional tools eg. Tableau, Alteryx, R would be beneficial). Essential Ability to leverage data to drive both tactical and strategic decision-making, identifying opportunities for data-led approaches to improve outcomes Strong understanding More ❯