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Data Visualization Jobs in Baltimore, MD (NOW HIRING)

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

Eastport Analytics Inc

Data Scientist

Annapolis, MD · On-site

$103K - $120K/yr

Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks. * Cross-Functional Collaboration: Partner with the ...

Cymertek Corporation

Data Modeler

Annapolis Junction, MD · On-site

$56 - $72.50/hr

Citizenship Preferred : • Experience with NoSQL databases (e.g., MongoDB, Cassandra) • Knowledge of big data technologies (e.g., Hadoop, Spark) • Familiarity with data visualization tools (e.g ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Bowie, MD · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Ashton, MD · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

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All JobsData Visualization JobsData Visualization Jobs in Baltimore, MD

Data Visualization information

See Baltimore, MD salary details

$53.7K

$108.8K

$160.5K

How much do data visualization jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data visualization in Baltimore, MD is $108,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $122,200.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Baltimore, MD? The most popular types of Data Visualization jobs in Baltimore, MD are:
What are popular job titles related to Data Visualization jobs in Baltimore, MD? For Data Visualization jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Baltimore, MD look for? The top searched job categories for Data Visualization jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Visualization jobs? Cities near Baltimore, MD with the most Data Visualization job openings:
Data Visualization jobs near you

Senior Data Analyst - Subject Matter Expert (SME)

AGE Solutions

Fort George G Meade, MD • On-site

$95K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
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+
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Apply