1 to 25 of 779 Tableau Jobs

of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including More ❯

with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and More ❯

data needs and provide actionable insights. Analyse datasets to uncover trends, patterns, and anomalies that inform strategic decisions. Requirements Basic knowledge of SQL and data visualisation tools (Power BI, Tableau). Proficiency in Microsoft Excel; familiarity with VBA and Macros is a plus. Strong analytical mindset with a keen eye for detail. Excellent communication and problem solving skills. Ability to More ❯

a relevant technical field (e.g., Data Science, Engineering, Computer Science); certifications in cloud or data tools are advantageous. Experience in Python, SQL, and data visualisation tools (e.g., Power BI, Tableau); experience with cloud platforms (AWS, Azure) is desirable. EV Charging Knowledge Charge Point Management Systems Data Analysis Stakeholder Engagement Root Cause Analysis Problem Solving Benefits & ways of working 💰 Financial benefits More ❯

continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will learn the hands-on skills to extract data from More ❯

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 ❯

on SAP Datasphere, SAP HANA Cloud Modelling, SAP BW4HANA, SAP Analytics Cloud, SAP Embedded Analytics, and S/4HANA business processes. Proficiency in frontend tools such as Power BI, Tableau, or similar platforms. Strong understanding of data warehousing concepts, data modelling, and ETL processes. Strong understanding of SAP Datasphere and basic knowledge of SAP Business data cloud and Azure Databricks More ❯

Experience in the Sales or Sales Analytics domain. Background in supporting enterprise-level reporting systems and tools. Understanding other BI tools or platforms is a plus (e.g., Qlik Sense, Tableau, Excel, SSRS Skill (Primary): Data Fabric-Self-Service BI-Microsoft PowerBI Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote More ❯

Functions. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving and communication skills. Preferred Qualifications: Snowflake certification. Experience with data visualization tools (e.g., Tableau, Power BI Knowledge of data governance and security best practices. Experience in Agile/Scrum development environments Equal opportunity Employer We are an equal opportunity employer. All aspects of employment More ❯

analytics where applicable. Required Skills and Qualifications Technical Skills 12+ years of experience in BI architecture, data engineering, and analytics delivery. Expertise in BI platforms such as Power BI, Tableau, Qlik, Looker, or similar. Strong experience with SQL, data modeling, dimensional modeling, and star/snowflake schemas. Hands-on experience building ETL/ELT solutions using tools like Informatica, Talend More ❯

improve processes and methodologies. What You Will Have: Technical Skills: Proficiency in Python, R, or SQL for data analysis and manipulation. Data Visualization Tools: Strong experience with Power BI, Tableau, or similar tools for creating actionable visual insights. Data Management Tools: Highly competent with PowerApps, SharePoint, and Microsoft Office packages. Problem-Solving: Excellent analytical and problem-solving abilities, with a More ❯

improve processes and methodologies. What You Will Have: Technical Skills: Proficiency in Python, R, or SQL for data analysis and manipulation. Data Visualization Tools: Strong experience with Power BI, Tableau, or similar tools for creating actionable visual insights. Data Management Tools: Highly competent with PowerApps, SharePoint, and Microsoft Office packages. Problem-Solving: Excellent analytical and problem-solving abilities, with a 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 ❯

customer service or similar environments is desirable. Technical Mastery: advanced analytics, statistical modeling, ML/AI concepts applied to CS; proficiency in SQL, Python, R; experience with data visualization (Tableau, Power BI); experience with VoC programs and customer insight platforms is a plus. Data Strategy & Governance: ability to define and implement robust data strategy and governance, ensuring data quality, privacy More ❯

SQL and good to have programming languages like Python. Familiarity with data modelling, data warehousing, and ETL processes. Experience with data visualisation tools such as Microsoft Power BI or Tableau is a plus. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to thrive in a fast-paced, agile environment. If you are passionate about building robust 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 ❯

both technical and non-technical audiences. Required Skills and Experience 12+ years of professional experience in data visualization, analytics, or a related field. Strong expertise in tools such as Tableau, Power BI, QlikView, or similar platforms. Proficiency in SQL for data extraction and transformation. Experience with Python or R for analytics is preferred. Solid understanding of data modeling, ETL processes More ❯

classification, clustering, and hypothesis testing; Hands-on experience with R Markdown and Excel automation for building automated reporting solutions and documentation pipelines; Data visualization and business intelligence tools including Tableau and Microsoft Power BI for building dashboards and supporting data-driven decision-making; Proven ability to automate reporting processes and develop self-serve analytics solutions for business teams using SQL More ❯

applying advanced data processing techniques and managing Dataflows, using a wide range of tools and technologies including SQL, SSIS, SSRS, Azure Data Factory, PowerShell, Python, M scripting, QlikView, and Tableau, to ensure robust, automated, and user-friendly business intelligence solutions. About You You will be a key part of developing the Business Intelligence solution and collaborating across functions to provide More ❯

accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. Strong understanding of at least one cloud stack 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 ❯

degree in Computer Science, Information Technology, or related field. Experience with the following: PowerBI Governance Framework PowerBI vendor and stakeholder management Ideally, you will also have: Experience with Snowflake, Tableau, and other BI tools is a plus. Knowledge of Specialty Insurance domain is advantageous. What we look for You are detail-oriented, proactive, and thrive in a fast-paced environment. 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 ❯