Key Responsibilities:
- Design and develop interactive Tableau dashboards and visualizations that meet the business requirements.
- Translate complex business data into meaningful insights through effective data visualization.
- Optimize and maintain existing Tableau dashboards to enhance performance and improve user experience.
- Build, test, and validate SQL queries to extract and manipulate data from various data sources.
- Use Python to automate data processing tasks, perform data analysis, and integrate Python scripts into Tableau workflows.
- Work with AWS services (such as S3, Redshift, RDS) to manage, store, and retrieve large datasets.
- Implement and maintain data quality frameworks to ensure accuracy and reliability of the data used in Tableau reports and dashboards.
- Leverage Copilot and AI-driven tools to improve data insights and optimize decision-making processes.
- Collaborate with cross-functional teams to gather business requirements and ensure that data is represented correctly in Tableau visualizations.
- Provide support and troubleshooting for Tableau dashboards, resolving issues in a timely manner.
Required Skills & Qualifications:
- Proven experience in building complex Tableau dashboards and reports.
- Strong proficiency in SQL for querying and manipulating data from relational databases.
- Expertise in Python for data analysis, automation, and integration with Tableau.
- Experience working with AWS services like S3, Redshift, and RDS for managing and processing large datasets.
- Understanding of data quality frameworks and experience implementing them in a business environment.
- Experience with Copilot and AI-driven tools for data-driven decision-making.
- Excellent analytical and problem-solving skills, with the ability to manage and interpret large datasets.
- Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders.
- Ability to adapt and thrive in a fast-paced, constantly evolving environment.
Nice to have:
- Experience with Tableau Server and Tableau Prep for data preparation and server-side administration.
- Familiarity with other data visualization tools (e.g., Power BI, Qlik) is a plus.
- Knowledge of data modeling, ETL processes, and data warehousing concepts.
- Experience with Agile development methodologies.
TECHNOLOGY & CONSULTING | AN INC. 5000 COMPANY [ 2022 | 2016 | 2015 | 2014]
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