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Remote Data Visualization Jobs in Davison, MI (NOW HIRING)

Remote Data Visualization information

See Davison, MI salary details

$48.9K

$99.1K

$146.3K

How much do remote data visualization jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data visualization in Davison, MI is $99,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $111,400.00 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 job categories do people searching Remote Data Visualization jobs in Davison, MI look for? The top searched job categories for Remote Data Visualization jobs in Davison, MI are:
What cities near Davison, MI are hiring for Remote Data Visualization jobs? Cities near Davison, MI with the most Remote Data Visualization job openings:
AI Specialist - Contract - Pontiac, MI - Remote

AI Specialist - Contract - Pontiac, MI - Remote

INFO ORIGIN INC

Pontiac, MI • Remote

$60 - $70/hr

Full-time

Posted 5 days ago


Job description

Job Title : AI Specialist (Remote)

Duration : Long-term contract

Location : Pontiac, MI

Interview     :         Video

Job Description:

  • Leads the design, development, and launch of an AI innovation program by assessing organizational readiness and innovation culture, establishing operating models, and success metrics, and implementing innovation frameworks and best practices aligned with existing technology standards. Designs, develops, and deploys AI solutions that enhance business processes, improve decision-making, and drive innovation.
  • Collaborates with cross-functional stakeholders to identify high-value use cases, gather requirements, prepare data, select, train, validate, and deploy AI models and applications.
  • Develops roadmaps that prioritize impactful innovation initiatives while fostering knowledge sharing, cross-functional collaboration, and sustainable adoption across the organization.
  • Continuously evaluates emerging AI technologies, research, and industry trends to ensure the organization remains at the forefront of AI innovation and delivers measurable business value.
  • This role is innovation and cultural change management first, collaboration with the teams implementing AI second.

Environment

  • Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI)