1

Internship Data Cleaning Jobs (NOW HIRING)

Data Analysis: Collect, clean, and analyze organizational data to surface insights that inform COO ... Internship completion ceremony and certificate award Proposed Learning Projects The intern will ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... cleaning, and preprocessing structured and unstructured datasets from various sources. * Support ...

next page

Showing results 1-20

Internship Data Cleaning information

See salary details

$12

$22

$42

How much do internship data cleaning jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for internship data cleaning in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What typical challenges might I encounter during a Data Cleaning internship, and how can I effectively address them?

During a Data Cleaning internship, you may encounter challenges such as dealing with large volumes of inconsistent or incomplete data, identifying and correcting errors, and understanding the context behind various data sets. Effective strategies include developing a solid grasp of data validation techniques, becoming proficient with tools like Excel, Python, or SQL, and regularly communicating with team members to clarify data ambiguities. Being proactive in asking questions and seeking feedback will help you grow your technical skills and contribute more efficiently to the team’s data quality goals.

What is an Internship Data Cleaning position?

An Internship Data Cleaning position involves assisting organizations in organizing, cleaning, and preparing their data for analysis. Interns in this role typically use software tools or programming languages to identify and correct errors, remove duplicates, and standardize formats within datasets. This foundational work ensures that data is accurate and reliable for further analysis or reporting. Such internships are a great way for students or recent graduates to gain practical experience in data management and analytics.

What is the difference between Internship Data Cleaning vs Data Analyst Intern?

AspectInternship Data CleaningData Analyst Intern
Required SkillsBasic data cleaning, Excel, SQLData cleaning, analysis, visualization
Work EnvironmentEntry-level, supervised tasksProject-based, collaborative
Industry UsageCommon in tech, finance, healthcareBroader, includes reporting and insights
CertificationsNone typically requiredOptional certifications in data analysis

Internship Data Cleaning focuses on basic data preparation tasks, while Data Analyst Interns handle more comprehensive analysis and reporting. Both roles are entry-level and often found in similar industries, but Data Analyst Interns typically require broader skills and responsibilities.

What are the key skills and qualifications needed to thrive as an Internship Data Cleaning professional, and why are they important?

To thrive as an Internship Data Cleaning professional, you need a basic understanding of data management, attention to detail, and familiarity with database concepts, often supported by coursework in data analysis or statistics. Proficiency with tools like Microsoft Excel, Google Sheets, and basic knowledge of SQL or Python for data manipulation is typically required. Strong organizational skills, problem-solving ability, and effective communication help interns stand out in this role. These competencies are crucial to ensure data accuracy, support analytical tasks, and maintain data quality for business or research needs.
More about Internship Data Cleaning jobs
What cities are hiring for Internship Data Cleaning jobs? Cities with the most Internship Data Cleaning job openings:
What are the most commonly searched types of Data Cleaning jobs? The most popular types of Data Cleaning jobs are:
What states have the most Internship Data Cleaning jobs? States with the most job openings for Internship Data Cleaning jobs include:
Infographic showing various Internship Data Cleaning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 22% Full Time, 67% Part Time, 1% Temporary, and 9% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Executive Internship 2026

Executive Internship 2026

Pace

Los Angeles, CA

Other

Posted 20 days ago


Job description

Program Overview
This is an unpaid internship designed to provide a high-performing college student with structured, educational exposure to executive-level operations, strategic planning, and organizational management within a mission-driven nonprofit. Reporting directly to the Chief Operating Officer (COO), the intern will engage in learning-focused projects that build professional skills in the context of PACE Business's work serving small, minority-owned, women-owned, and veteran-owned businesses across Los Angeles. The primary purpose of this internship is the educational benefit of the intern.

  • Project Management: Support and track active initiatives across departments, maintain project timelines, and help ensure deliverables stay on schedule.
  • Research & Analysis: Conduct meaningful research on operational trends, performance benchmarks, or strategic opportunities and present findings as a final deliverable.
  • Data Analysis: Collect, clean, and analyze organizational data to surface insights that inform COO decision-making and program planning.
  • Executive Support: Gain direct insight into how a nonprofit COO manages cross-functional priorities, stakeholder relationships, and organizational performance.
Duration
10 - 12 Weeks
Reports To
Chief Operating Officer (COO), PACE Business
Team
Office of the CEO & COO / Cross-Departmental
Focus
Project Management, Research, Data Analysis
Location
PACE, 1055 Wilshire Blvd, Los Angeles, CA (In-Person Internship)
Compensation
Unpaid (This is an unpaid internship. Academic credit is strongly encouraged and may be arranged with the intern's institution.)
Job Description
Project Management (Core Responsibility)
The intern will play an active role in managing and tracking strategic projects under the COO's portfolio. This is a hands-on function that builds real project management competency.
  • Maintain a master project tracker across active COO initiatives, monitoring deadlines, owners, and completion status.
  • Support the planning and coordination of cross-departmental projects, including scheduling, agenda preparation, communication drafts, and follow-up documentation.
  • Draft project charters, work plans, and status update summaries for internal stakeholders.
  • Identify bottlenecks or gaps in project execution and flag risks to the COO with proposed solutions.
  • Assist with preparing materials for leadership meetings, board updates, and partner presentations.
Research & Analysis (Primary Focus)
The intern will dedicate a significant portion of their time to a structured research project (see Learning Projects section) that develops transferable professional skills and produces a portfolio-worthy deliverable for the intern. This work is designed primarily for the intern's educational growth and skill development.
  • Research best practices from peer nonprofit organizations, government agencies, and social enterprises relevant to PACE's strategic priorities.
  • Analyze internal programs, workflows, or outcomes data and benchmark against comparable organizations.
  • Develop original resources, frameworks, or strategic recommendations grounded in research findings.
  • Present findings and recommendations in a formal presentation to the COO and leadership team.
Data Analysis (Supporting Role)
The intern will support data-driven decision-making by helping gather, organize, and interpret organizational data across programs and operations.
  • Collect and clean data from internal sources including program trackers, intake records, and outcome reports.
  • Build or maintain dashboards and reports in Excel or Google Sheets to visualize key performance indicators.
  • Assist with preparing quarterly program performance summaries and narrative reports.
  • Identify trends, gaps, or patterns in data and present findings clearly to a non-technical audience.
Qualifications
Academic
  • 2 years or more at a college or university program.
  • Preferred fields of study: Business Administration, Public Policy, Data Analytics, Urban Planning, Economics, Sociology or related fields.
Tech Competency
  • Proficiency with Microsoft Suite (Word, Excel, PowerPoint, Outlook).
  • Familiarity with Google Workspace (Drive, Sheets, Docs, Slides).
  • Basic data analysis skills: pivot tables, charts, data cleaning in Excel or Google Sheets.
  • Familiarity with project management tools (Asana, Trello, Monday.com, or similar) is a plus.
  • Familiarity with government or nonprofit databases is a plus (SAM.gov, Cal eProcure, ProcureLA).
Soft Skills
  • Strong research and writing skills: ability to synthesize complex information and present it clearly.
  • Highly organized, detail-oriented, and reliable with deadlines.
  • Genuine interest in nonprofit management, economic development, or public sector work.
  • Ability to work independently, manage competing priorities, and ask good questions.
  • Comfortable working directly with senior leadership in a fast-paced environment.
Program Format
I: 1-2 Weeks
Orientation & Onboarding
  • Meet with COO and key department leads
  • Review organizational strategy, priorities, and active initiatives
  • Understand PACE's mission, programs, and stakeholder landscape
  • Identify learning project focus area with COO supervisor
II: 2 Weeks
Research & Discovery
  • Conduct primary and secondary research for learning project
  • Shadow department meetings and cross-functional workgroups
  • Begin collecting and organizing data for analysis
  • Draft early findings and preliminary recommendations
III: 2 Weeks
Development & Build
  • Develop final learning project deliverable (dashboard, report, or strategic framework)
  • Present progress update to COO for mid-point feedback
  • Support project management tasks and operational priorities
  • Refine deliverable based on supervisor input
IV: 1 Weeks
Synthesis & Presentation
  • Complete final Learning Project Report (PPT or written report)
  • Deliver formal presentation to the COO and leadership team
  • Submit all documentation and project files to shared drive
  • Internship completion ceremony and certificate award

Proposed Learning Projects
The intern will select ONE of the following learning projects in consultation with the COO. Each project is designed to build professional competencies and produce a portfolio piece that demonstrates the intern's growth. Any work product created may also be shared with PACE as a supplementary outcome of the intern's learning.
Option A: Organizational Performance Dashboard
Design and build an executive-level dashboard as a hands-on learning exercise in data visualization and performance measurement. The intern will develop skills in data modeling and dashboard design, producing a working prototype in Excel or Google Sheets along with a summary guide. This project is intended to build the intern's analytical and technical competencies.
Option B: Operational Efficiency Assessment
Research and analyze operational workflows as a learning exercise in process improvement and nonprofit management. The intern will develop skills in benchmarking and organizational assessment, producing a written report that applies research and critical thinking skills. This project is intended to build the intern's analytical and writing competencies.
Option C: Development & Funding Diversification Strategy
Research nonprofit funding landscapes and development strategies as a learning exercise in fundraising, grant research, and strategic planning. The intern will develop skills in prospect research, donor cultivation concepts, and strategic writing. The deliverable will be a research report demonstrating the intern's ability to synthesize information and present strategic recommendations-a strong portfolio piece for careers in nonprofit management or public policy