376 to 400 of 1,816 Tableau Jobs

techniques. Develop and execute complex SQL queries for data manipulation and analysis in database environments. Utilize programming languages and applications (e.g., Python, R, SAS, Tableau, AWS) for data manipulation and statistical analysis. Design and implement data models and management tools to support comprehensive end-to-end solutions. Work with both More ❯

These projects will significantly impact the organization's operational efficiency. Supports customers with report creation, maintenance, and custom data requests for enterprise platforms like Tableau, Power BI, SSRS, and SQL scripts. Communicates system status and data issues to users. Conducts business analysis by gathering and documenting requirements, business rules, and More ❯

Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills, with the ability to translate complex data insights into clear More ❯

Programming skills in SQL and Snowflake (4+ years required) Programming skills in python (preferred) Experience with statistical analysis (required) Experience with data visualization tool (Tableau) (required) Strong analytical and problem-solving capabilities Excellent communication skills with ability to present complex data clearly Fluent English, both written and verbal Strong desire More ❯

Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS. Experience in UI More ❯

Programming skills in SQL and Snowflake (4+ years required) Programming skills in python (preferred) Experience with statistical analysis (required) Experience with data visualization tool (Tableau) (required) Strong analytical and problem-solving capabilities Excellent communication skills with ability to present complex data clearly Fluent English, both written and verbal Strong desire More ❯

data analysis tools and software such as Excel, SQL, or Python/R for data manipulation and analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI) to create reports and dashboards. Basic understanding of statistical concepts and methods used in data analysis and forecasting. Ability to analyse complex data More ❯

entertainment industry. Strong proficiency in SQL - ability to write complex queries and optimize data retrieval from large datasets. Experience with data visualization tools like Tableau, Power BI, or Looker is a plus. Familiarity with ad sales systems (e.g., WideOrbit, Operative, Salesforce, or similar) is highly desirable. Comfortable working with cross More ❯

success in requirements gathering, system integration, and testing. Skills : Proficiency in data validation tools (e.g., SQL, Python, Excel) and analytics platforms (e.g., Power BI, Tableau). Strong documentation skills for business requirements (e.g., BRDs, user stories) and test cases. Familiarity with testing tools (e.g., Jira, TestRail) and methodologies (e.g., UAT More ❯

degree in Data Science, Statistics, Computer Science, or a related field would be a plus. Experience with building and maintaining dashboards within Power BI, Tableau, or similar applications is also desirable. A broad understanding of data warehousing, cloud storage, and data architectures. Data Analyst, the benefits: 25 days annual leave More ❯

with data manipulation libraries (e.g., Pandas, NumPy). Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Matplotlib). Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and the ability to More ❯

Excel (advanced level, including pivot tables, vlookups, and other data manipulation functions). Experience working with large datasets. Knowledge of data visualization tools (e.g., Tableau, Power BI). Excellent communication and interpersonal skills, with the ability to interact effectively with individuals at all levels of the organization. Ability to work More ❯

oriented approach to challenges. Ability to handle multiple projects simultaneously to meet deadlines. Experience with visualization tools such as Microsoft Power BI (highly preferred), Tableau Desktop, or other visualization tools. Experience with other tools such as Marketo or other marketing automation platforms, Microsoft SQL Server BI Suite, Google Analytics, Google More ❯

operational excellence, data modelling, and analysis. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience More ❯

Essential: A combination of data management and business knowledge to be able to translate the use case needs into data driven solutions. Experience using Tableau/Power BI and confluence. Knowledge of regulatory obligations and industry requirements within UK market – particularly DNO Data & Digitalisation strategies Strong analytical skills Experience of More ❯

Essential: A combination of data management and business knowledge to be able to translate the use case needs into data driven solutions. Experience using Tableau/Power BI and confluence. Knowledge of regulatory obligations and industry requirements within UK market – particularly DNO Data & Digitalisation strategies Strong analytical skills Experience of More ❯

a related analytical field experience. - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience. - 3+ years of business or financial analysis experience. - Bachelor's degree or equivalent. - Experience defining requirements and using data and metrics to draw business More ❯

experience in a Law Firm is preferred. Advanced proficiency in Microsoft Excel, SQL, and Microsoft Power BI Experience with data visualization tools such as Tableau or Microsoft Power BI Ability to work with large datasets and analyze complex data Ability to work independently and manage multiple projects simultaneously Accounting and More ❯

and pharma data standards. Proven track record shipping data-intensive products or visualization tools. Strong understanding of data visualization principles and tools (e.g., Spotfire, Tableau, Plotly, Looker). Familiarity with BI platforms, analytics tools, and common data architectures (SQL, APIs, ETL). Exceptional communication and stakeholder management skills. Strategic thinkers More ❯

to resolve problems Programming skills for data and analytics using SQL Experience with designing/building complex reports/dashboards using Power BI/Tableau/Qlik/SAS Experience with various tools including Kibana Grafana, Splunk Google Analytics Good influencing,stakeholder management and communication skills Deep understanding of the More ❯

and office hours for our stakeholders. Minimum Qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing, and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS, and Matlab. Experience More ❯

well as ongoing reporting BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience More ❯

in software development/engineering, computer science, computer engineering, mathematics, or a related discipline. Advanced proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Power BI). Deep understanding of software development life cycle (SDLC) and various testing methodologies. Experience with automated testing tools and frameworks, including scripting knowledge. More ❯

done. PREFERRED QUALIFICATIONS Experience working with cloud services (preferably AWS services for databases, compute, storage, or analytics) Experience working with business intelligence solutions (e.g., Tableau, Power BI, Amazon QuickSight) Knowledge of web services or e-commerce operations Proven documentation skills Our inclusive culture empowers Amazonians to deliver the best results More ❯

MySQL, MSSQL), NoSQL (MongoDB, DynamoDB is a plus) Automation & Workflow Tools: Power Automate, Apache Airflow, AWS Lambda, or equivalent Data Processing & Reporting: Power BI, Tableau, or equivalent reporting tools Cloud & DevOps (Preferred): AWS, Azure, GCP, Docker, Kubernetes Security & Compliance: Best practices for secure data handling and authentication Version Control & CI More ❯