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Part Time Dashboard Developer Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ... models, dashboards, and reports. * Knowledge and experience using business intelligence ...

Plutus Health

Software Engineering Manager

Dallas, TX · On-site

We offer billing software, financial dashboards, and patient portals, and we integrate seamlessly ... Work From Office (Monday to Friday) Terms-Fulltime/Part time/Contractual: Fulltime Job Summary In ...

Harley-Davidson

Sr Engineering Business Analyst

Wauwatosa, WI · On-site

$87K - $113K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Dashboard gadget configuration * Knowledge of backend workflow creation and impacts * Power BI

Harley-Davidson

Sr Engineering Business Analyst

Wauwatosa, WI · On-site

$89K - $116K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Dashboard gadget configuration * Knowledge of backend workflow creation and impacts * Power BI

BlueLabs, Inc.

Reporting Fellow

Washington, DC · On-site +1

$25/hr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Design dashboards in Tableau and other BI solutions. * Work with cross functional stakeholders ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

... dashboards, or intelligence fusion platforms in greenfield or legacy modernization efforts * 10+ ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Orlando Magic

Part Time TD/Director

Orlando, FL · On-site

Work with the LED Manager and Xpression Designer and Programmer to insure proper connectivity ... Dashboard control systems. * Makes decisions with little or no choice as to the methods and ...

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Part Time Dashboard Developer information

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How much do part time dashboard developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for part time dashboard developer in the United States is $55.13, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $52.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by part-time dashboard developers, and how can they be addressed?

Part-time dashboard developers often face challenges related to time management and staying aligned with project timelines, as they may need to balance multiple commitments or work asynchronously with full-time team members. Clear communication, setting realistic expectations for deliverables, and utilizing project management tools can help mitigate these issues. Additionally, it’s important to stay updated on the latest dashboard development tools to ensure efficiency and compatibility with existing systems. Regular check-ins with the team and thorough documentation also support smoother collaboration and project continuity.

What are the key skills and qualifications needed to thrive as a Part Time Dashboard Developer, and why are they important?

To thrive as a Part Time Dashboard Developer, you need strong data analysis skills, experience with data visualization, and proficiency in programming languages like SQL and Python, often supported by a relevant degree or certification. Familiarity with dashboard tools such as Tableau, Power BI, or Looker, and experience with database management systems are typically required. Attention to detail, effective communication, and time management are essential soft skills for understanding requirements and delivering clear, actionable insights. These skills are important to effectively translate data into visual formats that drive informed business decisions within limited working hours.

What is the difference between Part Time Dashboard Developer vs Part Time Data Analyst?

AspectPart Time Dashboard DeveloperPart Time Data Analyst
Required SkillsData visualization, dashboard tools (e.g., Tableau, Power BI), basic codingData analysis, statistical skills, Excel, SQL
Work EnvironmentCollaborates with IT and business teams to create dashboardsAnalyzes data sets to generate insights for decision-making
Common CertificationsPower BI, Tableau certificationsGoogle Data Analytics, Microsoft Excel certifications

Part Time Dashboard Developers focus on designing and maintaining interactive dashboards using visualization tools, often requiring basic coding skills. In contrast, Part Time Data Analysts analyze data sets to extract insights, emphasizing statistical and analytical skills. Both roles are common in industries like finance, marketing, and healthcare, but they serve different functions: visualization versus analysis.

What is a Part Time Dashboard Developer?

A Part Time Dashboard Developer is a professional who designs, builds, and maintains data dashboards on a part-time basis. These dashboards help organizations visualize key metrics, trends, and data insights, often using tools like Power BI, Tableau, or custom web applications. Part time roles typically offer flexible hours, making them ideal for students, freelancers, or those seeking work-life balance. The developer collaborates with stakeholders to understand reporting needs and ensures that dashboards are user-friendly and up-to-date.
More about Part Time Dashboard Developer jobs
What are the most commonly searched types of Dashboard Developer jobs? The most popular types of Dashboard Developer jobs are:
What states have the most Part Time Dashboard Developer jobs? States with the most job openings for Part Time Dashboard Developer jobs include:
What job categories do people searching Part Time Dashboard Developer jobs look for? The top searched job categories for Part Time Dashboard Developer jobs are:
Part Time Dashboard Developer jobs near you
Infographic showing various Part Time Dashboard Developer job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $114,666 per year, or $55.1 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 16 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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