1 to 25 of 153 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 ❯

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, , 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, Shapely 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 ❯

learning Competencies and Behaviours Proficiency in analytical programming language such as python and/or SQL Understanding of relational databases and concepts for querying data Proficiency in tools like Tableau, and/or Power BI Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation 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 ❯

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 ❯

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 ❯

data-related challenges. Ability to think outside the box and approach problems from multiple angles to find effective and unique solutions. Technical proficiency: Proficiency in the data visualisation software Tableau (Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview) knowledge of programming languages such as SQL, Python, or R More ❯

business needs into data insights. What You'll Bring Strong SQL and Python (or R) skills for data manipulation and automation. Experience with BI tools (Power BI, Looker, or Tableau). Excellent attention to detail, analytical thinking, and communication skills. A solid background in Data Analytics - 5+ years. A proactive, problem-solving mindset with a drive to improve systems and 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 ❯

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 ❯

years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for translating technical work into strategic insights 4. More About the Opportunity Remote Expected More ❯

acumen with tangible analytics experience. Excellent communication and stakeholder management skills. Proficiency in SQL for data querying. Experience using Python for data analysis and aggregation. Familiarity with BI tools (Tableau, PowerBI, Domo). A self-starter with an analytical mindset and ability to work autonomously. Experience with Digital/Social Media Data and APIs. Knowledge of Salesforce Sales/Marketing More ❯

Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the More ❯

insights for paying customers and using data to tell stories Proven experience in designing customer-facing dashboards, BI tools or data visualisations Proficiency with BI/dashboarding tools like Tableau, Sigma Qlik, Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational More ❯

and deadlines in a fast-paced environment. Proficiency in data programming and data science techniques (SQL, Python, Databricks). Skilled in data visualisation and MS Power Platform tools (PowerBI, Tableau, Power Automate, Power Apps). If this sounds like you, and you would like to unlock your potential with us, we would love to hear from you Be yourself – Our More ❯