1 to 25 of 959 Tableau Jobs

Data Quality (IDQ) for data profiling, cleansing, and monitoring. Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with ETL processes, data warehousing, and data pipeline development. Excellent communication skills, with the ability to translate complex data findings into actionable business insights. Ability to More ❯

Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. Familiarity with: Machine learning and statistical More ❯

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and 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 ❯

quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have More ❯

Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game or a mobile app More ❯

and managing multiple priorities. * Demonstrated ability to collaborate across business and technical teams, fostering a culture of data-driven decision-making. Desirable Attributes * Experience with additional BI tools (e.g., Tableau, QlikView) and programming languages (e.g., Python, R) is a plus. * Familiarity with cloud data platforms and advanced analytics. * Certification in Power BI or related BI technologies. * Bachelor's degree in More ❯

ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager 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 ❯

Economics, Computer Science, or a similar field. Minimum two years' experience in a Data Analyst or Business Intelligence role. Advanced proficiency in SQL and data visualisation tools (Power BI, Tableau, or Looker Studio). Experience using Python or R for analysis or automation. Strong understanding of digital marketing analytics (Google Analytics 4, Google Ads, Meta Ads, SEO/PPC metrics More ❯

to degree level with 5+ years’ work experience Experience: 2–4 years of experience in MI, data analysis, or BI reporting Proficiency with BI tools such as Power BI, Tableau, or Qlik, preferably Power BI Strong SQL skills with an ability to query and transform data Experience with Excel (advanced functions, pivot tables, macros) Delivery and improvement of data, management More ❯

R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib, Seaborn Domain Expertise: Financial Services, Risk Management, Payments, Compliance, Customer Analytics Other: Agile/Scrum, Model Validation, Data Governance 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 ❯

various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform, Python, or other More ❯

Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to More ❯

Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to 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 ❯

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 ❯

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 ❯

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 ❯

WMS, o9 Supply Planning. Proficiency within the Microsoft Suite (particularly Excel) is required. ERP/TMS experience is desirable (SAP preferred). Experience in business intelligence platforms, such as Tableau and Power BI. Knowledge of SQL and other data manipulation languages. Familiarity with master data management and workflow automation systems. Knowledge of machine learning, artificial intelligence, and blockchain in logistics More ❯

that may fluctuate. Strong technical acumen with demonstrated fluency in standard business software, such as the Microsoft Office suite, databases, reporting applications, data cleaning and analysis, Power BI/Tableau/data visualization tools, Qualtrics, and project management tools. Demonstrated ability to handle confidential information and display sound judgment and ethics. Excellent written and oral communication skills, and ability to More ❯

Experience with Agile development methodologies.  Excellent communication, interpersonal, and problem-solving skills.  Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs).  Experience with data visualisation tools (e.g., Tableau, Power BI).  Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes).  Experience working in a financial services or economic data environment.  Azure certifications related to More ❯