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Data Visualization Jobs in Detroit, MI (NOW HIRING)

Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries. * Jupyter Notebooks or similar integrated development environments. * Version control systems such as Git.

Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries. * Jupyter Notebooks or similar integrated development environments. * Version control systems such as Git.

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 ...

Analytics Scientist

Dearborn, MI · On-site

$140K - $182K/yr

... data visualization tools and Experience on creating customer reporting and dashboards with tools including Qlikview, Business Objects, or Cognos. 3. Utilizing Data warehousing (ETL) and Business ...

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary range for ...

Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization * Identifies and evaluates technologies and provides strategic inputs to advance the ...

Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization * Identifies and evaluates technologies and provides strategic inputs to advance the ...

Lead Data Scientist

Detroit, MI · On-site

$100 - $125/hr

Proficiency with Tableau, Power BI, and Excel for data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight

Proficiency with Tableau, Power BI, and Excel for data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight

Proficiency with Tableau, Power BI, and Excel for data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight

Showing results 41-60

Data Visualization information

See Detroit, MI salary details

$53.5K

$108.4K

$159.9K

How much do data visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualization in Detroit, MI is $108,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $121,800.00 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 the most commonly searched types of Data Visualization jobs in Detroit, MI?

The most popular types of Data Visualization jobs in Detroit, MI are:

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

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

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

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

Infographic showing various Data Visualization job openings in Detroit, MI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $108,352 per year, or $52.1 per hour.

Principal Data Scientist

Detroit, MI • On-site

Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted yesterday


Key responsibilities

  • Lead the development and testing of hypotheses across all functional data sets

  • Design and develop scalable, efficient data pipeline processes for data ingestion, cleansing, transformation, integration, and validation

  • Identify actionable insights, suggest recommendations, and communicate results to cross-functional groups


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

196th of 315 rated insurance


Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring
  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


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