1 to 25 of 71 DemandTrendPermanent Tableau Jobs in the Thames Valley

opportunities to apply AL and ML models to improve forecasting, scenario tests, and anomaly detection. Requirements · Proven experience in Python, SQL, and Databricks · Experience in building dashboards (Databricks, PowerBI, Tableau, or similar) · Experience in the financial industry · Strong analytical and problem-solving skills with attention to detail · Knowledge of data modelling concepts (e.g. Star schema) · Excellent communicator, teamworking, and belief 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 ❯

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 ❯

company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You take ownership of More ❯

or recently graduated in Business, Data Analytics, Economics, or a related field. Strong analytical and problem-solving skills. Proficiency in Microsoft Excel; familiarity with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project More ❯

TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product More ❯

Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross-functional teams to identify More ❯

other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated computing with CUDA is highly desirable. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment. More ❯

Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with a genuine interest in using data to solve business problems Quantitative degree from a leading university is essential You'll be based in London More ❯

FOR: Proven experience in customer, marketing or retail analytics roles Strong SQL skills — confident querying large datasets from cloud data platforms Familiarity with data visualisation tools (e.g. Power BI, Tableau) Experience with customer segmentation, campaign analysis, or store-level performance analytics Strong communication and data storytelling skills — able to influence non-technical audiences Commercially minded — curious about what drives customer More ❯

recommendations based on data analysis. Design and develop reports and dashboards to visualise key performance indicators (KPI's) and business metrics Utilise data visualization tools such as Power BI, Tableau, or Excel for effective presentation. Work closely with various departments in consumer to understand their data needs and provide analytical support. Collaborate with IT to implement data-driven solutions and More ❯

colleagues around the world to continually redefine best practices Requirements Very good knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for More ❯

colleagues around the world to continually redefine best practices Requirements Very good knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for More ❯

with senior technical and business stakeholders. Enterprise Data Modelling: 3–5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred – Cloud certifications in Azure, AWS, or GCP. What’s on Offer Competitive salary with generous bonus Private healthcare and critical illness cover Life assurance (4x annual More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience More ❯

a marketing perspective Experience of data analysis, tools and reporting Database management experience and SQL language Experience of creating charts and other data visualisations using spreadsheets or tools like Tableau & Data Studio Google Drive/Docs (Sheets, Slides) experience along with intermediate Microsoft Office (Excel, PowerPoint) A proactive approach to problem solving & attention to detail Strong written and verbal communication More ❯

Bring: A numerical or analytical degree (e.g. Maths, Engineering, Economics, Data Science). 2+ years’ experience in an analyst role, either agency side or clientside. Experience in PowerBI/Tableau or similar. You'll be confident building dashboards and visualising data. Practical SQL skills for custom querying (not essential to be a coder, but must be comfortable querying data sets More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯