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Entry Level Data Visualization Tableau Jobs in Laurel, MD

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Data visualization with Tableau (or equivalent) and dashboard design * Statistical analysis, data modeling, and algorithm fundamentals * Clear written and oral communication with technical and non ...

SEI

Data and Analytics Consultant

Washington, DC · On-site

Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire * Experience with statistical and mathematical modeling, artificial intelligence and ...

Booz Allen Hamilton

Junior Data Analyst

Washington, DC · On-site

$48K - $98K/yr

Present data findings and recommendations to clients and stakeholders using your knowledge of data analysis and visualization tools such as Tableau, Power BI, Python, and R. * Establish quantitative ...

Booz Allen Hamilton

Data Analyst, Junior

Washington, DC · On-site

$48K - $98K/yr

Present data findings and recommendations to clients and stakeholders using your knowledge of data analysis and visualization tools such as Tableau, Power BI, Python, and R. * Establish quantitative ...

Guidehouse

Data Analyst (Dashboard Developer)

Arlington, VA · On-site

$98K - $163K/yr

Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau. * Leading and reviewing data cleaning scripts using tools such as Databricks ...

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Entry Level Data Visualization Tableau information

See Laurel, MD salary details

$53.5K

$108.5K

$160.1K

How much do entry level data visualization tableau jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level data visualization tableau in Laurel, MD is $108,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $122,000.00 per year, depending on experience, location, and employer.

What is an entry level data visualization Tableau job?

Entry level data visualization Tableau jobs are positions for individuals who are new to the data analytics field and specialize in creating visual representations of data using Tableau software. These roles typically involve tasks such as preparing data, building interactive dashboards, and generating reports to help organizations make data-driven decisions. Candidates are expected to have basic knowledge of Tableau, some experience working with datasets, and good communication skills to translate complex data into understandable visuals. Entry level positions may include titles like Tableau Developer, Data Visualization Analyst, or Business Intelligence Intern. These roles offer a pathway to more advanced analytics and business intelligence careers.

What are the key skills and qualifications needed to thrive as an entry level data visualization Tableau professional?

To thrive as an Entry Level Data Visualization Tableau professional, you need a solid understanding of data analysis, basic statistics, and proficiency in Tableau, often supported by a degree in a related field such as computer science, statistics, or business. Familiarity with Tableau Desktop, SQL, and Microsoft Excel, along with completion of Tableau certification courses, is highly advantageous. Strong attention to detail, effective communication, and problem-solving abilities help you translate data into actionable insights for stakeholders. These skills are crucial for creating clear, impactful visualizations that drive data-informed decisions within organizations.

What are some common challenges faced by entry level data visualization Tableau professionals, and how can they overcome them?

Entry-level data visualization specialists working with Tableau often encounter challenges such as understanding data structures, ensuring data quality, and effectively communicating insights through visualizations. Navigating Tableau’s advanced features and optimizing dashboard performance can also be daunting for newcomers. To overcome these obstacles, it's helpful to invest time in learning best practices for data preparation, seeking feedback from more experienced team members, and utilizing Tableau’s extensive online resources and community forums. Regularly practicing with real datasets and collaborating with analysts or business stakeholders will also build confidence and proficiency.

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Entry Level Data Visualization Tableau jobs near you

AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions LLC

Washington, DC • On-site

$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients' needs, we would like to meet you!
LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).
Location: Hybrid (Supporting Pentagon, Arlington, VA)
Status: Contingent Hire - Full-Time - Hybrid
Clearance: US Citizens with Active TS/SCI Security Clearance (Required)
MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools.
Position Summary
The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making.
The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance.
Required Qualifications
  • U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
  • One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
  • Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
  • Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
  • Experience collecting, cleaning, validating, and transforming structured datasets.
  • Working knowledge of relational databases, SQL queries, and data management principles.
  • Strong analytical, problem-solving, and technical communication skills.
  • Ability to work independently while collaborating effectively with senior analysts and Government personnel.

Preferred Qualifications
  • Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
  • Experience developing automated data pipelines or reusable scripts.
  • Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
  • Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
  • Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
  • Experience creating interactive dashboards and executive visualization products.
  • Exposure to artificial intelligence, machine learning, or predictive analytics concepts.

Primary Duties
  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
  • Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
  • Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
  • Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
  • Research data anomalies, resolve inconsistencies, and document corrective actions.
  • Support integration of data from multiple Government systems into consolidated analytical datasets.
  • Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
  • Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
  • Assist with testing, validating, and deploying analytical products before Government delivery.
  • Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
  • Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
  • Perform additional analytical, scripting, automation, and reporting duties as assigned.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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