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Analytics Intern Jobs (NOW HIRING)

Zello Inc

Analytics Intern

Austin, TX · On-site

You'd join the Data & AI team in Austin, reporting to our Head of Analytics, and spend the fall fixing that for the reports and topics people use most. This is real ownership, not shadowing. You'll ...

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How much do analytics intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for analytics intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an analytics intern do?

An Analytics Intern typically assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software to create reports, spot trends, and provide insights. The role may also involve cleaning data, preparing presentations, and supporting senior analysts in various projects. This position is ideal for students or recent graduates looking to gain practical experience in data analytics and business intelligence.

What skills and qualifications are needed to be an analytics intern?

To thrive as an Analytics Intern, you need a strong foundation in quantitative analysis, statistical methods, and proficiency in data interpretation, often supported by coursework in mathematics, statistics, or related fields. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Attention to detail, problem-solving ability, and effective communication are critical soft skills that help convey insights clearly and work well within a team. These skills ensure that analytical tasks are performed accurately and findings can be translated into actionable business strategies.

What types of projects and tasks does an analytics intern typically work on?

As an Analytics Intern, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, conducting exploratory data analysis, creating dashboards or reports, and supporting more senior analysts with ad hoc data requests. Interns often collaborate closely with both technical teams and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds practical analytical skills but also provides exposure to real-world business challenges, making it an excellent learning opportunity. Additionally, interns may present findings to team members or participate in brainstorming sessions, gaining valuable communication and teamwork experience.

What is the difference between Analytics Intern vs Data Analyst?

AspectAnalytics Intern
Required CredentialsTypically pursuing or recent graduate in related field; no extensive experience needed
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firms
Employer & Industry UsageCommonly used in companies seeking entry-level support for data projects
Comparison SummaryThe Analytics Intern role is an entry-level position aimed at students or recent graduates gaining practical experience. In contrast, a Data Analyst typically requires more experience and skills, handling complex data analysis tasks. Internships serve as a stepping stone into the data industry, while Data Analysts are full-time professionals responsible for ongoing data insights and reporting.

What is an analytics intern?

An analytics intern is a temporary position typically held by students or entry-level professionals to support data analysis tasks. They often work with tools like Excel, SQL, or Tableau and assist in collecting, processing, and interpreting data to help organizations make informed decisions.

What cities are hiring for Analytics Intern jobs?

Cities with the most Analytics Intern job openings:

What are the most commonly searched types of Analytics jobs?

The most popular types of Analytics jobs are:

What states have the most Analytics Intern jobs?

States with the most job openings for Analytics Intern jobs include:

Analytics Intern jobs near you
Infographic showing various Analytics Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Business Analytics- Intern (Remote)

DivIHN Integration Inc

Charlotte, NC • Remote

$42/hr

Contractor

Posted 5 days ago

Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries about this opportunity, please contact one of  our Talent Specialists, Tenishbabu at 224 507 1292 or Anto at 2243692969.
 
Title: Business Analytics- Intern (Remote)
Duration: 9 Months
Location: Charlotte, NC
 
Prefered candidates in EST, CST Time Zone
 
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
 
Description 
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
 
Key Skills and Competencies
  • Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
  • Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
  • Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
  • Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
  • Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
  • Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.
Structure

1. Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
2. Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
3. Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
4. Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.
 
Job Responsibilities in Detail
 
1. Strategic Development
  • Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
  • Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
  • Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
  • Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
  • Execution: Implement strategies and monitor outcomes using automated tracking systems.
2. Data Analytics and Automation
  • Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
  • Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
  • Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
  • Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.
3. Innovation Team Engagement
  • Collaborate with multi-functional innovation teams to:
  • Develop value propositions for products and services using analytics and automation.
  • Forecast market opportunities with predictive modeling and automated data pipelines.
  • Conduct competitive assessments using automation tools to collect and analyze competitor data.
Qualities of a Successful Intern
  • Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
  • Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
  • Independence: Ability to manage work autonomously within a complex, global organization.
  • Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
  • Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
  • Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
  • Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.
Education: 
Bachelors

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.