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Front End Data Analyst Jobs (NOW HIRING)

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data ...

Data Analyst / Front End

Auburn Hills, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Data Analyst

Concord, NC · Hybrid

$76K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analytics, Statistics, knowledge of US Navy submarines and/or acoustics/sensors and familiarity of React (front end) and Kubernetes (back end) orchestration. Security clearance level: SECRET US ...

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Front End Data Analyst information

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$34K

$82.6K

$136K

How much do front end data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for front end data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a front end data analyst typically collaborate with developers and UX designers?

Front End Data Analysts often work closely with developers and UX designers to ensure that data visualizations and dashboards are both accurate and user-friendly. They translate analytical insights into interactive, visually appealing reports by leveraging tools like JavaScript libraries (e.g., D3.js or Chart.js). Collaboration involves regular meetings to align on project requirements, user needs, and technical feasibility, ensuring that the data presented aids decision-making and enhances the overall user experience. Effective communication and adaptability are key, as priorities may shift based on feedback from stakeholders.

What are the key skills and qualifications needed to thrive as a front end data analyst, and why are they important?

To thrive as a Front End Data Analyst, you need a solid understanding of data analysis, data visualization, and front-end web technologies such as HTML, CSS, JavaScript, and relevant frameworks. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in querying languages (e.g., SQL) or analytics platforms are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex data insights clearly make candidates stand out. These skills are crucial for transforming raw data into actionable insights and interactive visualizations that support informed business decisions.

What are top 3 skills for a front end data analyst?

A front end data analyst should have strong skills in data visualization tools like Tableau or Power BI, proficiency in programming languages such as SQL and Python, and a solid understanding of front-end technologies like HTML, CSS, and JavaScript. These skills enable effective data presentation and integration with web interfaces, which are essential in this role.

What is a front end data analyst?

A Front End Data Analyst is a professional who focuses on analyzing data to enhance user interfaces and improve the overall user experience on websites or applications. They combine skills in data analytics with front-end technologies like HTML, CSS, and JavaScript to visualize data and present insights in a user-friendly way. Their role often involves collaborating with designers and developers to ensure data-driven decision-making is integrated into the user interface. They may also create dashboards, reports, and interactive visualizations that help stakeholders understand key metrics and trends.

What is the difference between Front End Data Analyst vs Data Scientist?

AspectFront End Data AnalystData Scientist
Required SkillsData visualization, SQL, basic statistical analysis, front-end toolsAdvanced statistical modeling, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, data visualization tools, dashboardsResearch, complex data modeling, algorithm development
CertificationsSQL, Tableau, Power BI certificationsCertified Data Scientist, advanced analytics certifications

The Front End Data Analyst primarily focuses on visualizing data and creating dashboards to support business decisions, using tools like SQL and Tableau. In contrast, Data Scientists perform complex data modeling and develop predictive algorithms. While both roles require analytical skills, Data Scientists typically have more advanced technical expertise and work on deeper data analysis projects.

More about Front End Data Analyst jobs
Infographic showing various Front End Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst / Front End

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 18 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on turning data into usable, consumable insights and tools, aligned with business needs and standard design practices.
Working under the direction of a Data & AI Product Owner, the role contributes to the delivery of dashboards, KPIs, alerts, and front-end applications that enable business users to access and act on Purchasing data efficiently.
Key Accountabilities include but not limited to:
  • Analytics & Front-End Development
  • Build dashboards, reports, and front-end data applications aligned with product requirements
  • Implement interactive views, filters, and user-friendly interfaces within approved standards
  • Ensure analytics outputs are clear, accurate, and aligned with business definitions
  • Data Analysis & Validation
  • Analyze Purchasing data to identify trends, exceptions, and insights
  • Validate data correctness and consistency in collaboration with Data Manager and Product Owner
  • Support root-cause analysis by surfacing data patterns and anomalies
  • Product Delivery Support
  • Translate Product Owner requirements into functional analytics deliverables
  • Support testing, validation, and release of data products
  • Contribute to incremental improvements based on user feedback and usage patterns
  • Collaboration & Continuous Improvement
  • Collaborate with data engineers, data scientists, and UX partners as required
  • Apply feedback and lessons learned to improve future deliveries
  • Follow agreed development, documentation, and quality practices

Basic Qualifications:
  • Bachelor's degree in business, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, or a related field.

Preferred Qualifications:
  • 1 year of work experience
  • Strong negotiation and strategic thinking skills
  • Excellent analytical, organizational, and communication abilities
  • Experience collaborating in cross-functional teams
  • Ability to identify and prioritize critical tasks
  • Self-motivated, resourceful, and organized in managing complex work

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