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Part Time Data Analyst Jobs (NOW HIRING)

The Pennsylvania State University

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/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 ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

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 ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

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 ...

Brown University

Lead Data Analyst

Hall, NY · Hybrid

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:

Booz Allen Hamilton, Inc.

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 ...

Chicago Public Schools

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 ...

Brown University

Lead Data Analyst

Providence, RI · On-site

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:

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All JobsPart Time Data Analyst Jobs

Part Time Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 30, 2026, the average yearly pay for part time 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 much do part-time data analysts make?

Part-time data analysts typically earn between $15 and $35 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Can I do data analyst part time?

Yes, data analyst roles can often be performed part time, especially in freelance or contract positions. Many employers offer flexible schedules, and part-time data analysts typically need skills in Excel, SQL, and data visualization tools like Tableau or Power BI.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis jobs.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in a data analyst role depends on skills such as data interpretation, proficiency with tools like Excel or SQL, and analytical thinking, which can be developed regardless of personality type.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
More about Part Time Data Analyst jobs
What cities are hiring for Part Time Data Analyst jobs? Cities with the most Part Time Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Part Time Data Analyst jobs? States with the most job openings for Part Time Data Analyst jobs include:
What job categories do people searching Part Time Data Analyst jobs look for? The top searched job categories for Part Time Data Analyst jobs are:
Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Part-Time Contractor)

Data Analyst (Part-Time Contractor)

Stable Kernel

Atlanta, GA • On-site

Part-time

Posted 7 days ago

Key responsibilities

  • Design and build dashboards and reports that align with business objectives using business intelligence tools.

  • Translate high-level client or project goals into data questions and metrics, and provide actionable insights that inform decisions.

  • Coordinate analytics tasks within cross-functional teams, clarifying dependencies and supporting project planning with structured updates.

Job description

About the Company:
Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.
We're a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.
About the Role:
As a Data Analyst at Stable Kernel you will play a key role in converting data into insights that inform client and internal product roadmaps. Working with cross-functional teams, you will independently design dashboards, build reporting queries, and translate high-level questions into measurable metrics. Your blend of analytical, communication and problem-solving skills will help clients evaluate how their products operate and identify opportunities for improvement.
Data Analysts report directly to our Principal Data Strategist.
Core Responsibilities Include:
  • Technical Impact:
    • Designing and building dashboards and reports that align with business objectives, using advanced features of business intelligence tools (e.g., complex SQL, calculated fields and advanced charting).
    • Defining success metrics and measurement plans for new products and features
    • Tracking design and data requirements, suggesting scalable and reusable solutions.
    • Monitoring dashboard and data health, investigating anomalies and resolving data quality issues.
    • Contributing to documentation updates and maintaining data dictionaries to ensure shared understanding across projects.
    • Improving the efficiency or usability of existing reports and solutions by creating reusable queries or components and training junior analysts on tool basics.
    • Collaborating with product and engineering to understand technical dependencies and translate business questions into data solutions, sharing insights during cross-functional meetings.
  • Business Alignment:
    • Translating high-level client or project goals into data questions and metrics; validate that analyses align with these objectives and advise on measurement priorities.
    • Providing actionable insights that inform decisions and connect analysis outcomes clearly to business KPIs, suggesting optimizations based on trends or findings.
    • Breaking down analysis tasks, provide accurate estimates, and communicate expected effort and trade-offs while factoring in data complexities.
    • Building a strong understanding of the client domain and user journeys, incorporating domain nuances into analyses and understanding dependencies with engineering, product and marketing processes.
    • Supporting development of reusable dashboards, frameworks and templates, contribute to internal best practices and documentation, and share learnings across projects.
  • Consulting:
    • Coordinating closely with cross-functional teams to understand dependencies and identify data needs or risks early.
    • Building trust through reliable delivery and begin advising on analysis prioritization based on business impact.
    • Supporting roadmap discussions with data-backed insights, help triage competing requests and propose small enhancements where data can add value.
    • Suggesting improvements to existing metrics or frameworks and contribute to proposal or workshop preparation.
  • Interacting with Others:
    • Coordinating analytics tasks within cross-functional pods, clarifying dependencies with product, design and engineering teams.
    • Supporting project planning and sprint alignment by providing clear, structured updates in stand-ups and reviews.
    • Sharing insights that inform product or marketing decisions, recommending reporting improvements or new analyses and advising on best practices for metrics interpretation.
    • Supporting teammates by providing tool and process guidance, proactively communicating risks and mitigation plans, and documenting progress in shared tools.
  • Problem-Solving:
    • Solving moderately complex analysis challenges independently by proposing hypotheses, validating with data and recommending actionable insights.
    • Defining scope when details are unclear, suggest initial approaches to move work forward and clarify assumptions in analysis.
    • Identifying data or analysis risks and propose mitigation steps, communicating risks clearly to project teams and escalating blockers or risks appropriately with context.
    • Documenting troubleshooting steps before escalation.
  • Leadership:
    • Identifying inefficiencies in workflows within the team and suggest and implement process improvements.
    • Promoting data quality and consistency by encouraging adherence to standard metrics and definitions and providing guidance to junior analysts on tools and approaches.
    • Sharing knowledge in informal trainings or code reviews and lead small analytics projects or pods, coordinating task execution and dependencies to ensure alignment on goals.

Intimate, Working Familiarity With:
  • Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
  • Experience with CRM tools such as MoEngage.
  • Experience with data activation tools such as Hightouch. .
  • Experience using SQL and Python.
  • Experience with observability and data visualization tools such as Grafana ,DataDog, Tableau, Looker or PowerBI.
  • Experience using analytics related tools such as Databricks or Amplitude.
  • Familiarity with Microsoft Office Suite.

General Requirements:
  • 3-5 years of experience as a data analyst.
  • Experience working in a consulting or professional services organization.
  • A bachelor's degree in data science, a quantitative/analytical field, or similar.

Nice-to-haves:
  • Ability to create ER diagrams.
  • Ability to effectively test APIs using standard tools such as Postman and curl.
  • Experience using agile work management tools such as Jira.

A Bit More Info:
This is a part-time contract position (20 hours).
Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.
Travel may be associated with this role as it requires you to maintain an in-office presence in a hybrid capacity for regular in-person engagements for both clients and internal teams.
*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.
Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate on the basis of race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.
However, we will discriminate against those unwilling to comply with the practice of our company values:
  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

Apply