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Remote Data Visualization Jobs in Saint Paul, MN

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

... visualization abilities. This hands-on role requires someone who can architect robust data ... This position is remote with preference to align to one of Legence' s office locations. Key ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

... visualization abilities. This hands-on role requires someone who can architect robust data ... This position is remote with preference to align to one of Legence' s office locations. Key ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

... visualization abilities. This hands-on role requires someone who can architect robust data ... This position is remote with preference to align to one of Legence' s office locations. Key ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

... visualization abilities. This hands-on role requires someone who can architect robust data ... This position is remote with preference to align to one of Legence' s office locations. Key ...

Data Engineer

Minneapolis, MN ยท On-site +1

$75.75 - $83.33/hr

Remote Data Analyst -Finance Data Platform Purpose: Support data validation, data reconciliation ... Experience with data visualization and reporting tools such as Power BI, Looker, and LookML for ...

JAVA FULL STACK DEVELOPER

Minneapolis, MN ยท Remote

$54.75 - $70.75/hr

... data visualization tool * Enable data consumers by building intuitive user interfaces * Build microservices that interact with a variety of internal APIs * Collaborate with internal and remote teams ...

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN ยท On-site +1

$89K - $113K/yr

Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc. * Intermediate level of experience in SQL/HiveQL ...

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Remote Data Visualization information

See Saint Paul, MN salary details

$54.6K

$110.7K

$163.3K

How much do remote data visualization jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data visualization in Saint Paul, MN is $110,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $124,400.00 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.

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.

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 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 the most commonly searched types of Data Visualization jobs in Saint Paul, MN? The most popular types of Data Visualization jobs in Saint Paul, MN are:
What are popular job titles related to Remote Data Visualization jobs in Saint Paul, MN? For Remote Data Visualization jobs in Saint Paul, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization jobs in Saint Paul, MN look for? The top searched job categories for Remote Data Visualization jobs in Saint Paul, MN are:
What cities near Saint Paul, MN are hiring for Remote Data Visualization jobs? Cities near Saint Paul, MN with the most Remote Data Visualization job openings:
Infographic showing various Remote Data Visualization job openings in Saint Paul, MN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $110,696 per year, or $53.2 per hour.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN โ€ข Remote

Contractor

Re-posted 6 days ago


Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usableโ€”removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background:ย 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.