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Entry Level Data Visualization Tableau Jobs in Washington

TLA-LLC

Data Analyst

Mclean, VA · On-site

Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred). • Statistical Knowledge: Solid understanding of statistical concepts ...

TLA-LLC

Data Analyst

Mclean, VA

Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred). Statistical Knowledge: Solid understanding of ...

Tulk LLC

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Experience with Tableau, Python, SQL, R, GIS tools, SharePoint, or other business intelligence and data visualization platforms. * Experience with geospatial data, GEOINT mission applications, or ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... Tableau, PowerBI, Qlik, and/or Google Charts * Understanding of relevant statistical measures ... Working with data visualization tools and creating data visualization concepts * Experience ...

Amentum

HRIS Data Analyst

Bethesda, MD · On-site

The role involves analyzing workforce data, building data visualization dashboards, and providing ... MS Office including Excel, Tableau, Python, SQL Preferred : • Tools: Cognos, VBA, R, SPSS, SAS ...

Pherson

Training Analytics Developer - Mid

Springfield, VA · On-site

Demonstrated experience with software packages used for advanced statistical analysis of operational data and tools for data visualization (Tableau). * Ability to develop mathematical algorithms and ...

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SEI

Data and Analytics Consultant

Washington, DC

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 ...

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Proficiency in SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI. * Ability to interpret complex data, identify patterns, and provide actionable insights. * Translating ...

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Entry Level Data Visualization Tableau information

What are some common challenges faced by entry-level data visualization professionals using Tableau, 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.

What are the key skills and qualifications needed to thrive as an Entry Level Data Visualization Tableau professional, and why are they important?

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 entry level data visualization Tableau jobs?

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 popular job titles related to Entry Level Data Visualization Tableau jobs in Washington? For Entry Level Data Visualization Tableau jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Visualization Tableau jobs in Washington look for? The top searched job categories for Entry Level Data Visualization Tableau jobs in Washington are:
What cities in Washington are hiring for Entry Level Data Visualization Tableau jobs? Cities in Washington with the most Entry Level Data Visualization Tableau job openings:
Entry Level Data Visualization Tableau jobs near you
Infographic showing various Entry Level Data Visualization Tableau job openings in Washington as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 22% Full Time, 73% Part Time, 1% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 16 days ago

Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
• Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
• Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
• Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
• Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
• Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
• Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
• Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
• Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
• Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

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