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Data Analytics Internship Jobs (NOW HIRING)

ncmec

Works under the general supervision of the Missing Child & Data Analytics Team Program Manager ... Two years related work or internship experience preferred. * An equivalent combination of education ...

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Data Analytics Internship information

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$42

How much do data analytics internship jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data analytics internship 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 is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What type of internship can I get for data analyst?

A data analytics internship typically involves working with data analysis tools like Excel, SQL, or Python to support business decision-making. Interns often assist with data collection, cleaning, visualization, and reporting, gaining practical experience in data-driven environments. These internships are usually offered by companies across various industries and may require basic knowledge of statistics and data tools.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in the field of data analytics and finance.

Can I do a data analyst internship?

Yes, a data analyst internship is available for students or entry-level candidates interested in developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships typically require relevant coursework or basic knowledge of data concepts and may be part-time or summer positions to gain practical experience.

What would a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may help prepare reports or visualizations under supervision.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
More about Data Analytics Internship jobs
What cities are hiring for Data Analytics Internship jobs? Cities with the most Data Analytics Internship job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Internship jobs? States with the most job openings for Data Analytics Internship jobs include:
What job categories do people searching Data Analytics Internship jobs look for? The top searched job categories for Data Analytics Internship jobs are:
Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Manager - Data & Analytics

Qvest US

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll Do
  • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
  • Proactively identify risks, issues and provide mitigation strategies
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to help build and lead a best-in-class data practice
  • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc 
Preferred Additional Experience
  • A solid understanding of key BI trends and the BI vendor landscape
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to understand/design small-to-medium size data architectures
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region. 
 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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