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Data Visualization Jobs in Baltimore, MD (NOW HIRING)

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/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 ...

Responsibilities : • Produce data cleaning, basic analysis, and preparation for visualization • Develop dashboards and perform routine data quality checks • Perform data preprocessing, data ...

Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML ...

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 ...

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/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 ...

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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 Jun 9, 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.

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.

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 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 cities near Baltimore, MD are hiring for Data Visualization jobs? Cities near Baltimore, MD with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Baltimore, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 11% Hybrid, and 24% Remote job distribution, with an average salary of $108,754 per year, or $52.3 per hour.
Data Insights & Visualization Practitioner

Data Insights & Visualization Practitioner

Accenture Federal Services

Annapolis Junction, MD • On-site

Other

Posted 3 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services


Job description

The Data Insights & Visualization Practitioner is responsible for building and maintaining data reporting solutions across Microsoft cloud environments using SQL, KQL, Kusto, Azure Data Explorer, Grafana, and PowerBI.

Responsibilities Include:

  • Create, update, and manage new and existing reports for COGs, Secure Future Initiative (SFI) KPI, buildout, and Livesite statuses from a variety of data sources, including Azure Data Explorer (Kusto) and SQL
  • Identify and collect performance metrics and Key Performance Indicators (KPIs) to identify opportunities for COGs, SFI KPI, Utilization, Capacity Planning, and Livesite improvement, and to surface business objectives and key results (OKRs) attainment
  • Identify and drive implementation of automated solutions to make COGs, SFI KPI, and Livesite processes more efficient
  • Intake, triage, and execute on new requirements from internal engineering teams
  • Conduct and manage Azure DevOps (ADO) backlog grooming

Here's what you need:

  • Bachelor of Science in CS or other related technical discipline
  • 3+ years experience
  • Must have a valid US Passport

Bonus points if you have:

  • Experience working in Microsoft Azure or AWS Cloud environments, particularly sovereign and air-gapped clouds
  • Proficiency with Power BI, Grafana, Azure Data Explorer (Kusto), KQL, and SQL
  • Experience with data visualization tools and dashboard development
  • Familiarity with ETL processes, data pipelines, and automation solutions
  • Experience with Microsoft products including Power BI, Microsoft Windows, Windows Servers, Office365, SharePoint, and Microsoft Teams
  • Experience with Azure DevOps for backlog management and intake processes
  • Knowledge of ServiceTree data, subscription hygiene, and cloud cost optimization
  • Strong analytical skills with ability to identify KPIs and performance metrics
  • Experience supporting Livesite operations and incident management reporting

Clearance Requirements:

  • Active TS/SCI with Poly
  • Active U.S. Passport required

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