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Visual Data Analyst Jobs (NOW HIRING)

... visual data analytic tool โ€ข Python Development or R Development โ€ข Knowledge of Microsoft SharePoint โ€ข CompTia Security+ certification โ€ข Current Secret Clearance Company : SAIC specializes in ...

Metrics Data Analyst

Lakehurst, NJ ยท Hybrid

$80K - $120K/yr

Qlik Sense or other business intelligence (BI) visual data analytic tool * Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security+ certification * Current Secret ...

Metrics Data Analyst

Lakehurst, NJ ยท On-site

$80K - $120K/yr

Qlik Sense or other business intelligence (BI) visual data analytic tool * Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security+ certification * Current Secret ...

Metrics Data Analyst

Lakehurst, NJ ยท On-site

$80K - $120K/yr

Qlik Sense or other business intelligence (BI) visual data analytic tool * Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security+ certification * Current Secret ...

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a ... Design and develop new visual reports and dashboards that clearly communicate trends, performance ...

Data Analyst

Santa Barbara, CA ยท On-site

$80K - $90K/yr

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a ... Design and develop new visual reports and dashboards that clearly communicate trends, performance ...

Prepare and deliver clear visual presentations that communicate findings and recommended actions to ... Document data definitions, reporting processes, dashboards, best practices, and analytical ...

Data Analyst** for a long-term contract opportunity in the Harrisburg, PA area. This role is ideal ... Prepare and deliver clear visual presentations that communicate findings and recommended actions to ...

Data Analyst** for a long-term contract opportunity in the Harrisburg, PA area. This role is ideal ... Prepare and deliver clear visual presentations that communicate findings and recommended actions to ...

Job Summary We are seeking an experienced Data Analyst for a long-term contract opportunity in the ... Prepare and deliver clear visual presentations that communicate findings and recommended actions to ...

Present data findings through compelling visual storytelling using charts, graphs, and other ... Document analytical processes and maintain data integrity across reports Required Skills ...

Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual narratives. * Solid understanding of statistical analysis techniques and methodologies. * Strong problem ...

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th ... Visual Basic or SQL knowledge is a plus Strong communication skills (written and verbal) Please ...

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Visual Data Analyst information

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$34K

$82.6K

$136K

How much do visual data analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for visual data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Visual Data Analyst vs Data Analyst?

AspectVisual Data AnalystData Analyst
Required SkillsData visualization, analytics tools, storytellingData manipulation, statistical analysis, reporting
Work EnvironmentBusiness intelligence teams, data visualization toolsData management, reporting, research teams
CertificationsTableau, Power BI, data visualization certificationsSQL, Excel, statistical certifications
Industry UsageMarketing, finance, consultingFinance, healthcare, research

The Visual Data Analyst focuses on creating visual representations of data to communicate insights effectively, often using visualization tools like Tableau or Power BI. In contrast, the Data Analyst performs broader data analysis, including statistical evaluation and data management. Both roles require analytical skills, but the Visual Data Analyst emphasizes storytelling through visuals, making it ideal for presenting complex data clearly.

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

To thrive as a Visual Data Analyst, you need strong analytical abilities, proficiency in data visualization, and a solid background in statistics or mathematics, typically supported by a relevant degree. Familiarity with visualization tools such as Tableau, Power BI, and programming languages like Python or R is commonly required. Strong communication, creativity, and attention to detail help convey complex data insights clearly to diverse audiences. These skills ensure actionable, accurate, and visually compelling data analysis that drives informed business decisions.

What does a Visual Data Analyst do?

A Visual Data Analyst is responsible for analyzing complex datasets and presenting the findings in clear, visual formats such as charts, graphs, and dashboards. They use data visualization tools to help organizations understand trends, patterns, and insights from large volumes of information. Their work supports decision-making by making data more accessible and understandable to non-technical stakeholders. Visual Data Analysts often collaborate with data scientists, business analysts, and other teams to ensure that the visualizations accurately represent the underlying data.

What are some common challenges Visual Data Analysts face when interpreting complex datasets, and how can they overcome them?

Visual Data Analysts often encounter challenges when working with large, unstructured, or incomplete datasets, which can make it difficult to derive clear insights. Another key challenge is presenting complex findings in a way that is accessible and actionable for non-technical stakeholders. To overcome these hurdles, analysts should focus on effective data cleaning practices, leverage advanced visualization tools, and maintain close collaboration with both data engineers and business teams to ensure clarity and relevance in their visualizations.
More about Visual Data Analyst jobs
Infographic showing various Visual Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 60% Full Time, 22% Part Time, 2% Temporary, and 12% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Business Data Analyst

Kanak Elite Services Inc

Austin, TX โ€ข On-site

$85K - $107K/yr

Contractor

Posted 23 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Business Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Positionย ย ย ย ย ย ย ย ย ย  : Senior Business Data Analyst

Locationย ย ย ย ย ย ย ย ย  : Austin, TX Hybrid (3 Days Onsite 2 Days Onsite)

Durationย ย ย ย ย ย ย ย  : long term contract

Experienceย ย ย ย ย  : Minimum 15+ Years Must
NOTE :

Candidates Must Have Previous Work Experience with Any State Health Care Agency for At least 3+ Years

This role is a Business Data Analyst (BA/DA Hybrid) who analyzes current business processes, identifies gaps, documents requirements (Epics/User Stories), and works with both business and technical teams to design data-driven solutions that improve systems and workflows.

Job Details :
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
The Business Data Analyst will primarily focus on analyzing existing business requirements to understand current functionalities, data flows, and pain points. The role will then leverage this understanding to elicit and write comprehensive business requirements for new systems or enhancements.
A key responsibility will be translating complex business needs into clear, actionable requirements. The role must be well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams. The role will collaborate closely with business stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities.
The ideal candidate will possess strong data analysis skills, an ability to document current state processes, and a proactive approach to identifying opportunities for process and system improvements. Excellent communication and interpersonal skills are essential for facilitating workshops, gathering information, and presenting findings to diverse audiences.
Minimum Requirements:

  • Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills.
  • Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions.
  • Experience designing and optimizing data workflows and data management processes using modeling or mapping tools.
  • Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams
  • Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications.
  • Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines.
  • Demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues.
  • Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field. Equivalent experience may be substituted.
  • Strong multi-tasking skills with the ability to manage multiple data projects or assignments concurrently.

Years

Experience

Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills.

Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions.

Experience designing and optimizing data workflows and data management processes using modeling or mapping tools.

Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams

Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications.

Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines.

Demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues.

Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field. Equivalent experience may be substituted.

Strong multi-tasking skills with the ability to manage multiple data projects or assignments concurrently.