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Part Time Excel Data Analyst Jobs (NOW HIRING)

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Data Analyst Intern

Braintree, MA · On-site

$20 - $25/hr

Familiarity with Excel (VLOOKUPs, pivot tables) or data visualization tools (e.g., PowerBI, Looker ... This role is currently listed as a part-time role (3-full days in the office); there may be an ...

New

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... Ivy Tech is committed to supporting the well-being, growth, and financial security of our part-time ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... Ivy Tech is committed to supporting the well-being, growth, and financial security of our part-time ...

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Part Time Excel Data Analyst information

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$34K

$82.6K

$136K

How much do part time excel data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for part time excel 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.

What is the difference between Part Time Excel Data Analyst vs Part Time Data Entry Clerk?

AspectPart Time Excel Data AnalystPart Time Data Entry Clerk
Required skillsExcel, data analysis, reportingData entry, basic computer skills
CertificationsExcel proficiency, data analysis certificationsNone typically required
Work environmentOffice, remote, or client sitesOffice, data centers, remote
Industry usageFinance, marketing, researchAdministrative, clerical tasks

While both roles involve working with data, a Part Time Excel Data Analyst focuses on analyzing data sets, creating reports, and deriving insights using Excel. In contrast, a Part Time Data Entry Clerk primarily inputs and manages data with less emphasis on analysis. The analyst role often requires Excel certifications and analytical skills, whereas the clerk role emphasizes accuracy and speed in data entry tasks.

What are some common challenges faced by part-time Excel Data Analysts, and how can they effectively manage their workload?

Part-time Excel Data Analysts often face the challenge of balancing multiple projects within limited working hours, which can make prioritization and time management crucial. They may also need to quickly familiarize themselves with new datasets or processes when collaborating with different departments. To manage these challenges effectively, it’s important to maintain clear communication with team members about deadlines and expectations, utilize Excel’s automation features (like macros or Power Query) to streamline repetitive tasks, and actively document their work for smooth handovers or future reference. Regularly reviewing priorities and proactively seeking clarification can help ensure productivity and accuracy, even with a part-time schedule.

What are part time Excel data analysts?

Part time Excel data analysts are professionals who work on a flexible or reduced-hour schedule to analyze, interpret, and manage data using Microsoft Excel. Their duties typically include organizing data sets, creating reports, developing charts and graphs, and using formulas or pivot tables to generate insights for a company or organization. These roles are ideal for individuals seeking work-life balance, students, or those supplementing other employment. Excel data analysts are essential in helping businesses make informed decisions by transforming raw data into actionable information.

What are the key skills and qualifications needed to thrive as a Part Time Excel Data Analyst, and why are they important?

To thrive as a Part Time Excel Data Analyst, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often backed by relevant coursework or experience in data management. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes knowledge of VBA or Power Query is highly beneficial. Effective communication, problem-solving abilities, and time management are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate data analysis, efficient workflow, and valuable data-driven decision-making for organizations.
What cities are hiring for Part Time Excel Data Analyst jobs? Cities with the most Part Time Excel Data Analyst job openings:
What are the most commonly searched types of Excel Data Analyst jobs? The most popular types of Excel Data Analyst jobs are:
What states have the most Part Time Excel Data Analyst jobs? States with the most job openings for Part Time Excel Data Analyst jobs include:
Senior Data Analyst (part-time)

Senior Data Analyst (part-time)

LinTech Global

Arlington, VA

$98K - $124K/yr

Part-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Dexian Government Solutions is recruiting for a Sr. Business Analyst to support our contract at the USPSOIG in Arlington, Virginia.

Position Description

  • 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.
  • 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.

Position Requirements

  • 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. 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. Ensure that quality/security guidelines are followed.
  • Experience applying analytic techniques to detect fraud in Postal Service operations. Strong relational database and querying languages experience. Strong verbal and written communication skills. Must be able to work effectively in a team environment. 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. 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.

Experience:

  • Advanced degrees in Statistics, Mathematics, 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.

Desired Requirements:

  • Knowledge and experience in the law enforcement and/or audit industry
  • Knowledge and experience using cloud computing platforms such as Azure
  • Knowledge and experience with relational databases and structured query language (SQL)
  • Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).

Company Description

Dexian Government Solutions is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. Dexian Government Solutions has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The Dexian Government Solutions team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions.

Benefits

Our robust benefits package includes Open Paid Time Off, 11 Federal Paid Holidays & 5 Paid Sick Days, Company-paid Life/AD&D, Company-paid Short Term and Long-Term Disability, Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more!

EEO Statement

Dexian Government Solutions is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.

All applicants will be considered for employment without attention to race, religion, color, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), gender, sexual orientation, gender identity or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request.

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This role requires customer approval, suitability to hold a public trust and successful completion of a preemployment background screening.