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Data Visualization Analyst Jobs in Baltimore, MD

Sr Data Analyst

Baltimore, MD · Hybrid

$85K - $107K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience ...

Showing results 21-40

Data Visualization Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do data visualization analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data visualization analyst in Baltimore, MD is $82,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a data visualization analyst?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in a data visualization analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a data visualization analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What job categories do people searching Data Visualization Analyst jobs in Baltimore, MD look for? The top searched job categories for Data Visualization Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Visualization Analyst jobs? Cities near Baltimore, MD with the most Data Visualization Analyst job openings:
Infographic showing various Data Visualization Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,111 per year, or $39.5 per hour.

Senior Data Analyst - Subject Matter Expert (SME)

AGE Solutions

Fort George G Meade, MD

$120K/yr

Full-time

Re-posted 6 days ago


Job description

AGE Solutions is seeking a highly skilled and analytical Senior Data Analyst - Subject Matter Expert (SME) to support enterprise-level data analytics, reporting, and customer experience initiatives within a complex IT Service Management (ITSM) environment. The ideal candidate will leverage advanced analytical techniques, data visualization, statistical modeling, and customer experience analytics to provide actionable insights that improve operational performance, service delivery, and customer satisfaction.

This role requires a strategic thinker with strong technical expertise, exceptional communication skills, and the ability to collaborate across technical and business teams to drive data-informed decision-making.

Responsibilities Include:

  • Analyze large and complex datasets to identify trends, patterns, anomalies, and opportunities for operational improvement.
  • Develop and maintain dashboards, scorecards, and executive-level reporting using data visualization tools such as Tableau, Power BI, or QlikView.
  • Support IT Service Management (ITSM) initiatives through analysis of incident, problem, change, request, and service performance metrics.
  • Conduct customer experience analytics and customer journey mapping to improve service quality and user satisfaction.
  • Perform trend analysis, forecasting, root cause analysis, and predictive analytics to support strategic decision-making.
  • Design and execute statistical analyses and machine learning models to support operational and business objectives.
  • Develop SQL queries and work with structured and unstructured data from multiple sources and databases.
  • Support data warehousing, ETL processes, and data integration efforts across enterprise systems.
  • Collaborate with cross-functional stakeholders, technical teams, and leadership to translate business requirements into analytical solutions.
  • Present findings, recommendations, and insights to senior leadership and stakeholders in a clear and actionable manner.
  • Ensure compliance with data governance policies, regulatory requirements, and data privacy standards.
  • Identify opportunities to improve analytics methodologies, reporting processes, and data quality practices.
  • Support continuous process improvement initiatives and innovation within the analytics environment.
  • Provide subject matter expertise in analytics best practices, ITSM reporting, and performance measurement.

Required Qualifications:

  • Education:
    • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
  • Certifications:
    • Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or ITIL Foundation Certification
    • Certifications in Customer Experience Management and/or Data Science preferred
  • Security Clearance:
    • DoD Secret or Top Secret
  • Experience, Skills, and Knowledge:
    • 8+ years of experience in data analysis, preferably supporting IT Service Management (ITSM) environments or related domains.
    • Proven experience working with ITSM platforms such as ServiceNow, BMC Remedy, or Cherwell.
    • Experience in customer experience analytics and customer journey mapping.
    • Demonstrated expertise with data visualization and business intelligence tools including Tableau, Power BI, or QlikView.
    • Strong experience with SQL and database management concepts.
    • Proficiency with analytical and statistical tools such as Python, R, or SAS.
    • Strong statistical analysis skills and familiarity with machine learning algorithms and predictive analytics techniques.
    • Advanced Microsoft Excel skills for data analysis, modeling, and reporting.
    • Familiarity with ITIL framework and ITSM best practices.
    • Experience with data warehousing concepts and ETL processes.
    • Strong analytical thinking, troubleshooting, and problem-solving abilities.
    • Ability to interpret complex datasets and translate findings into actionable business insights.
    • Excellent written and verbal communication skills with the ability to present technical information to non-technical audiences.
    • Demonstrated ability to work effectively in cross-functional and collaborative environments.
    • Strong attention to detail and commitment to data accuracy and integrity.
    • Experience briefing senior leadership and preparing executive-level reports and presentations.
    • Demonstrated ability to improve and innovate analytics processes and methodologies.
    • Understanding of regulatory compliance requirements and data privacy laws related to data handling and protection.

Preferred Qualifications:

  • Experience supporting Federal Government or Department of Defense (DoD) environments

Compensation: $120,000+