Data Analyst

1 month ago


Waldorf, Maryland, United States CLJ Consulting and Contracting LLC Full time
Data Analyst Job Description

CLJ Consulting and Contracting LLC is seeking a skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for transforming data into actionable insights using Tableau's suite of data visualization tools.

Key Responsibilities:

  • Collecting and structuring data from multiple sources to prepare it for analysis.
  • Designing, developing, and maintaining Tableau dashboards and reports that clearly visualize key business metrics.
  • Working closely with cross-functional teams to identify analytical requirements and transform them into data visualization solutions.
  • Performing data analysis to uncover trends, patterns, and insights that support business objectives.
  • Ensuring data accuracy and integrity within dashboards and reports by implementing quality checks and validation processes.
  • Training and supporting business users on how to use Tableau dashboards effectively to extract insights.
  • Optimizing data models and Tableau workbooks for performance and user experience.
  • Collaborating with IT and data governance teams to ensure compliance with data security and privacy policies.
  • Staying current with the latest Tableau features and data visualization best practices to enhance reporting capabilities.
  • Communicating complex data findings in a clear and concise manner to stakeholders through presentations and reports.
  • Providing recommendations to business leaders based on data-driven insights to inform strategic decisions.
  • Continuously refining and iterating on dashboards based on user feedback and changing business needs.

Requirements:

  • 3-5 years of experience.
  • Demonstrated proficiency using Tableau Desktop for data visualization, dashboard creation, and analysis.
  • Capability to troubleshoot issues related to data sources, calculations, and performance.
  • Experience optimizing dashboards performance and addressing performance bottlenecks.
  • Knowledge of best practices of data visualization, such as choosing appropriate chart types and designing for user experience.

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