DATA VISUALIZATION SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Mai 21, 2025 - The Data Visualization Specialist creates effective data analytics and visualization solutions using tools like Tableau and Power BI to build dashboards and conduct customer demonstrations. With expertise in Agile methodologies and complex SQL queries, the specialist understands data warehouse architecture, including star schema and snowflake models. Excellent communication skills help collaborate with clients, define requirements, and present insights effectively.

Essential Hard and Soft Skills for a Standout Data Visualization Specialist Resume
  • Data Visualization Tools
  • SQL
  • Python
  • Data Analysis
  • Tableau
  • Power BI
  • R
  • Data Mining
  • Excel
  • Dashboard Design
  • Communication
  • Critical Thinking
  • Attention to Detail
  • Problem-Solving
  • Creativity
  • Time Management
  • Collaboration
  • Adaptability
  • Presentation Skills
  • Analytical Thinking

Summary of Data Visualization Specialist Knowledge and Qualifications on Resume

1. BS in Statistics with 7 years of Experience

  • Practical experience with business intelligence solutions including building/supporting data-intensive systems, data warehouses and data marts 
  • A clear understanding of industry-standard concepts (star schema, snowflake, ER)
  • Hands-on experience in Data Visualization or advanced analytics using Power BI
  • Expertise in SQL, ELT/ETL, reporting and Visual Analytics tools including SSMS, SSRS, SSIS, and Power BI
  • Proven implementation and adoption in large-scale enterprise environments
  • Solid T-SQL knowledge and SQL query development using MS SQL 2016 or later
  • Expertise skills in data visualization, user interface design, and the software development life cycle to develop data products and expertise in demonstrating the work to business groups.
  • Proficiency in data analysis, data profiling, data mining, data extraction, and data enrichment
  • Understanding of Adobe Analytics and Omniture, Google Analytics, and other Social/App Tracking Tools
  • Understanding of analytical methods and regression models, advanced analytics software (SAS, R, Python, and others), big data programming
  • Have solid/emerging experience with statistical modeling, analytics, database usage, and design theories

2. BS in Data Science with 5 years of Experience

  • Hands-on experience with programming languages, e.g. Python, Java, Scala
  • Hands-on experience with Big Data systems, like Hadoop, Spark, Storm
  • Experience with Linux, Unix shell scripting, NoSQL, Machine Learning
  • Experience with ETL, data warehousing, BI, Tableau, Qlik or PowerBI
  • Knowledge and experience with cloud environments like AWS/Azure/GCP
  • Knowledge of Scrum and Agile.
  • The ability to develop concise, insightful, and comprehensive products for defense intelligence.
  • Demonstrate the ability to lead teams in researching multifaceted or critical problems.
  • Ability to build strong relationships in a cross-functional environment
  • Strong verbal and written communication skills in English

3. BS in Computer Science with 6 years of Experience

  • Combined experience in Data Visualization and Business Intelligence
  • Experience turning complex data into clear information through visual displays
  • Experience leveraging a deep understanding of the fundamental principles of information design, user interaction, and visual best practices that resonate with viewers
  • Working experience designing in Power BI
  • Expertise in SQL with large relational database systems
  • Experience working with Python
  • Experience working with a cross-functional team to deliver value
  • Experience working at a fast-growing SaaS organization, demonstrating personal accountability and willingness to go above and beyond the job description
  • Be genuine, warm, positive, empathetic, and engaging with a passion for technology and customer success
  • Strong communication and presentation skills, particularly with internal clients, team leads, and managers.

4. BS in Information Technology with 8 years of Experience

  • Experience in developing data analytic/data visualization solutions
  • Experience building Tableau dashboards and conducting customer demonstration
  • Advanced experience working with clients to define requirements
  • Deep understanding and experience with Agile development methodologies
  • Advanced data visualization tool (Tableau, PowerBI, etc.) knowledge including calculated fields, connecting to and cleaning data
  • Advanced Excel including data cleaning formulas including index/match, nested if statements, and pivot tables.
  • Advanced experience in writing SQL queries, data discovery and analysis
  • Thorough understanding of data warehouse architecture (star schema, snowflake, slowing changing dimensions, and aggregation techniques)
  • Deep understanding of data relationships including unions and joins
  • Experience developing and implementing data structures/architectures using multiple data sets (structured/unstructured)
  • Excellent communication skills including written, spoken, and presentations
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