126 to 150 of 1,287 Tableau Jobs

from different departments. Core skills & experience for this role: 3+ years’ experience working in similar Analytics role Data Analysis Excellent problem solving and analytical skills Excel, SQL Power BI, Tableau, Python - desirable Process mapping, gap analysis and business analysis experience is desirable. Ability to be self-motivated and work independently. Excellent communication skills Relevant certifications would be desirable Full drivers More ❯

quality work under deadlines. Proficiency in English, spoken and written. Preferred: Experience in delivering sustainability digital/data products. Proficiency in SQL, Python, and BI tools like Power BI, Tableau, or Looker. Knowledge of sustainability frameworks (GRI, ISSB, CSRD). About GSK GSK is a global biopharma committed to science, technology, and talent to combat disease. We focus on vaccines More ❯

Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like Tableau or Qlik Sense. Experience analyzing financial datasets and understanding financial market concepts. Proficiency in Data Profiling/Analysis using Python, R, or SQL. Ability to communicate results clearly using data More ❯

Exceptional business acumen with ability to quickly understand key value drivers Proven experience in data visualisation and creating actionable insights from complex datasets Advanced SQL skills and proficiency in Tableau/Power BI or similar Strong stakeholder management and presentation skills at senior level Growth mindset with commercial awareness and analytical problem-solving skills Ability to thrive in a fast More ❯

contribute to a culture of continuous improvement. Mandatory Skills: • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Familiarity with dashboarding tools like Tableau or Power BI (preferred but not mandatory). • Minimum 5 years of software development experience, with at least 2+ years in PriceFX implementation. • Proficient in Groovy scripting and PriceFX calculation More ❯

Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud. Experience with big data technologies specifically with Databricks & Spark. Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or similar. Experience with project management tools such as Jira, SharePoint, MS Teams, MS Word and MS Excel. Demonstrated experience in the healthcare industry and/or quantitative More ❯

is a plus. You must have the full right to work in the UK (the business doesn't offer sponsorship). Development experience with BI platforms such as Looker, Tableau, or Power BI. Skilled at conveying complex data insights in a clear, engaging manner, tailored to both technical and non-technical audiences. Confident in navigating operational complexities, identifying key challenges More ❯

or exposure to the following technologies: Languages: SQL/Python/R. Databases: MongoDB/PostgreSQL/Snowflake. BI/Visualisation Tools: Looker/Power BI/Rstudio/Tableau/DataDog/Grafana. Product Analytics: Hotjar/Google Analytics/Amplitude. Spreadsheet Tools: Excel or Google Sheets. Collaboration Tools: Jira/Confluence/Slack. More ❯

stakeholders Desirable Skills (Bonus Points) Experience with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools More ❯

Hudi. Preferred Experience with Infrastructure as Code (IaC) solutions such as Terraform or Pulumi. Experience with modern CI/CD DevOps frameworks. Experience developing data visualizations using Power BI, Tableau, or similar tools. What you'll get Competitive pay and annual bonus 33 days annual leave including Bank Holidays Fusion working environment with flexible work arrangements Staff discounts in venues More ❯

for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau, Power BI) for communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data More ❯

tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS More ❯

tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS More ❯

programming skills in Python or R, with experience in data analysis libraries (pandas, scikit-learn) SQL proficiency for data querying and manipulation. Proficiency with data visualization tools (e.g., Microstrategy, Tableau) or dashboarding in Python (e.g., Plotly, Streamlit). Solid foundation in machine learning concepts, statistical methods, and data preparation techniques Comprehensive understanding of experimentation methods, model evaluation, and business metric More ❯

for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau, Power BI) for communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data More ❯

on experience in designing and implementing incrementality models, attribution models, and advanced forecasting techniques. Proficiency in SQL, Python, or other data analytics tools, along with BI platforms such as Tableau or Power BI. Strong understanding of data science applications in commercial strategy, including predictive modeling and machine learning. Familiarity with A/B testing methodologies and experimentation frameworks. Here is More ❯

and database schema design. Experience supporting data science workloads with structured and unstructured data. Familiarity with containerization technologies like Docker or Kubernetes. Experience with data visualization tools such as Tableau or Power BI is a plus. WE OFFER Benefits : enhanced pension, life assurance, income protection, private healthcare. Remote working : work from anywhere-café, bedroom, beach. Flexible hours : accommodate school pick More ❯

analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power BI, or Splunk Experience in applying machine learning, artificial intelligence, and natural language processing techniques to solve real-world problems Excellent communication, presentation, and storytelling skills, along with the 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 ❯

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 ❯

with proficient understand of the Group Data Warehouse (GDW) and a desire to learn and utilise Google Cloud Platform (GCP) & Big Query. Experience of Data Visualisation tools such as Tableau or Power BI with an eye on future visualisation tools (Looker) A proven understanding of the data landscape, both structured and unstructured. A strong communicator with great influencing skills The More ❯

e.g., Data Science, Statistics, Computing, Economics, or similar) Experience working with large datasets Knowledge of statistical programming (e.g., R, Python) Proficiency in data visualization tools (e.g., Qlik, Power BI, Tableau) Excellent communication and interpersonal skills - both written and verbal Understanding of data governance fundamentals and GDPR requirements Ability to work under pressure ABOUT US The University of the West of More ❯

practices Requirements: • 6+ years in an Analytics or Business Intelligence role, with 2+ years as a manager or team lead • Proven experience building and delivering client-facing outputs using Tableau or an equivalent BI tool (Metabase, Power BI, Looker etc.) • Prior experience delivering and owning a reporting cycle (monthly or quarterly) with evidence improving processes while maintaining high quality • Strong More ❯

sales process design, funnel analysis, forecasting, and comprehensive revenue planning. Advanced proficiency in Excel/Google Sheets and hands-on experience with Salesforce. Must have powerful BI tools like Tableau or Power BI. Exceptional analytical and problem-solving skills , with a knack for modeling complex business challenges and transforming data into concrete, actionable strategies. A track record of successful cross More ❯

querying languages (e.g. SQL) and scripting languages (e.g. Python) to facilitate data-driven decision-making, may be a plus but isn't necessary Familiarity with data visualization tools (e.g. Tableau, PowerBI) to communicate insights effectively Results-driven and ability to get things done in a fast and efficient way, good at making sure the "trains run on time" A healthy More ❯