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Remote Data Visualization Jobs in Prairieville, LA

Data Systems Engineer

Baton Rouge, LA · On-site +1

$109K - $132K/yr

This role offers a collaborative work environment with opportunities for both in-office and remote ... data visualization and reporting initiatives, including Power BI dashboards and semantic models ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... data visualization * Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization ...

Remote Data Visualization information

See Prairieville, LA salary details

$49K

$99.2K

$146.4K

How much do remote data visualization jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data visualization in Prairieville, LA is $99,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $111,500.00 per year, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What are remote data visualization jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

What are the key skills and qualifications needed to thrive as a remote data visualization specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

What is the difference between Remote Data Visualization vs Remote Data Analyst?

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

What are popular job titles related to Remote Data Visualization jobs in Prairieville, LA?

For Remote Data Visualization jobs in Prairieville, LA, the most frequently searched job titles are:

What job categories do people searching Remote Data Visualization jobs in Prairieville, LA look for?

The top searched job categories for Remote Data Visualization jobs in Prairieville, LA are:

What cities near Prairieville, LA are hiring for Remote Data Visualization jobs?

Cities near Prairieville, LA with the most Remote Data Visualization job openings:

Data Systems Engineer

Baton Rouge, LA • On-site, Remote

$109K - $132K/yr

Full-time

Posted 19 days ago


Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
 
Key Responsibilities

Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
Build and maintain data pipelines and ETL/ELT processes
Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
Deliver project objectives on time, within scope, and with a high level of quality
Contribute to data governance, standards, and best practices

 
Experience & Education

Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
5+ years of experience writing complex SQL queries and working with data models
2+ years of experience developing and maintaining ETL/ELT processes
Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

 
Technical Skills & Tools

Microsoft Fabric, Azure Data Services, Databricks
Power BI and Power Platform
Python
DAX
Microsoft Dynamics D365 (preferred)
Azure DevOps (or similar CI/CD tools)
Git version control
Advanced SQL (T-SQL)
Excel (advanced data manipulation)
Development tools such as VS Code and SQL Server Management Studio

 
Core Competencies

Ability to manage multiple concurrent projects and priorities in a fast-paced environment
Strong problem-solving and analytical skills
Excellent communication skills with the ability to translate technical concepts for business stakeholders
High attention to detail and commitment to data quality

 
Additional Requirements

Ability to travel as needed
Valid driver’s license with a clear driving record
Successful completion of background check and drug/alcohol screening