1

Data Visualization Jobs in Baltimore, MD (NOW HIRING)

next page

Showing results 1-20

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 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.

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.
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:
Data Visualization Analyst

Data Visualization Analyst

Sage Ventures LLC

Pikesville, MD • On-site

$60K - $80K/yr

Full-time

Posted 24 days ago


Job description

The Junior Data Analyst is responsible for designing, developing, and maintaining multifamily analytics

and reporting to support informed decision-making across the organization. This role focuses on

building and maintaining Power BI and SQL-based reports, ensuring data accuracy, supporting core

systems, and partnering with teams to deliver clear, actionable insights.


Essential Functions

  • Maintain multifamily analytics end to end, including data systems, workflows, automation reporting, and dashboards.
  • Design, develop, and maintain Power BI dashboards and reports.
  • Support data governance by ensuring data is accurate, consistent, and trusted across the organization.
  • Enhance and optimize existing analytics platforms as technology and business needs evolve.
  • Create and maintain clear technical documentation for data models, reports, and operational processes.
  • Provide technical and functional support for multifamily software systems.
  • Build and maintain SQL-based reports within our software tools (e.g., lease scripts, custom tables, YSR).
  • Perform ad hoc analysis to support data-driven decision making.
  • Work closely with cross-functional teams and share insights clearly and effectively.

Competencies (Knowledge, Skills, Abilities)

  • Expertise in SQL, Excel, and Power BI are a must,
  • Strong knowledge of data analytics, reporting, and visualization within real estate and asset management is a plus.
  • Advanced skills in business intelligence implementation and report automation.
  • Exceptional analytical and problem-solving skills to interpret complex data sets.
  • Ability to manage and optimize dashboard creation and maintenance.
  • Effective communication and collaboration across teams and leadership.
  • Strong attention to detail, ensuring accuracy and reliability in reporting.
  • Ability to work independently while thriving in a fast-paced, evolving environment.
  • Strategic thinking with the ability to identify trends and make recommendations.

Position Type: Full Time, M-F

Required Education and Experience

  • Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
  • 1–3 years of experience in data visualization, reporting, and business intelligence.
  • Proven experience with visualization software. Power BI preferred.
  • Strong proficiency in SQL and Excel for data manipulation and automation.
  • Experience in real estate, asset management, financial reporting, or multifamily operations is preferred.
  • Ability to translate complex datasets into actionable business insights for executive teams.


ADA/OTHER REQUIREMENTS

Physical Demands: While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Equal Opportunity Statement

Sage Ventures is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any

Kind. Sage Ventures is committed to the principle of equal employment opportunity for all employees

and to providing employees with a work environment free of discrimination and harassment. All

employment decisions are based on business needs, job requirements and individual qualifications,

without regard to race, color, religion or belief, family or parental status, or any other status protected

by the laws or regulations in the locations where we operate. Save Ventures will not tolerate

discrimination or harassment based on any of these characteristics. Sage Ventures encourages

applicants of all ages.


Disclaimer: The job description is not designed to cover or contain a comprehensive list of activities,

duties, or responsibilities that are required of the employee. They may change, or new ones may be

assigned at any time with or without notice.

Powered by JazzHR

fJyVKmDSSy