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Data Visualization Jobs in Royal Oak, MI (NOW HIRING)

Senior Data Analyst - Product

Detroit, MI

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership ... Support the team's transition to Sigma as our primary reporting and visualization platform * Stay ...

Deliver insights through clear reporting and data visualization using Tableau and Power BI * Recommend process improvements and advanced analytics solutions to streamline workflows * Maintain data ...

... data visualization and the ability to choose the right format for the right message • Understanding of what makes a KPI meaningful and how to tie metrics to business goals • Some exposure to ...

Data Analysis Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools. * Proficiency with marketing analytics tools and platforms (i.e., Google Analytics ...

Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of experience working with finance / pricing / incentives data * 2+ years of experience working with sales ...

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Data Visualization information

See Royal Oak, MI salary details

$50.5K

$102.3K

$150.9K

How much do data visualization jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data visualization in Royal Oak, MI is $102,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $114,900.00 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are popular job titles related to Data Visualization jobs in Royal Oak, MI?

For Data Visualization jobs in Royal Oak, MI, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Royal Oak, MI look for?

The top searched job categories for Data Visualization jobs in Royal Oak, MI are:

What cities near Royal Oak, MI are hiring for Data Visualization jobs?

Cities near Royal Oak, MI with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Royal Oak, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $102,269 per year, or $49.2 per hour.

Data Scientist, HC Analytics

Henry Ford Health System

Detroit, MI • On-site

Full-time

Posted 12 days ago


Henry Ford Health rating

6.9

Company rating: 6.9 out of 10

Based on 569 frontline employees who took The Breakroom Quiz

454th of 893 rated healthcare providers


Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.

What Henry Ford Health employees say

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Benefits

Hours and flexibility

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About Henry Ford Health

Sourced by ZipRecruiter

Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915