1 to 25 of 1,014 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred More ❯

using the data warehouse. Perform detailed data analysis from a variety of source systems. Develop reports, dashboards and interactive visualizations for the data warehouse project using different components of Tableau software including Tableau desktop and Tableau server. Work with the Data Architect, Systems Analyst and Subject Matter Experts to understand the data and align this with the data visualization requirements. … Perform other analysis and documentation tasks as required to facilitate and support TWCs Enterprise Data Warehouse. Mentor and train junior Tableau and data visualization developers. This must include: Building, publishing customized interactive reports and dashboards Report scheduling using Tableau server creating action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau Developing Tableau workbooks from multiple data … sources using Data Blending Publishing reports using Tableau public Required Skills: Analyzing data from a variety of source systems and different database technologies using SQL Designing, developing and validating reports, data visualization and dashboards using Tableau. Gathering, analyzing and generating data visualization requirements for a data warehouse Experience working on a data warehouse (both relational and dimensional) team Experience translating 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 ❯

a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for detail Strong communication and More ❯

a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for detail Strong communication and 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 ❯

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 ❯