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Internship Facebook Data Analyst Jobs in Indiana

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Gary, IN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Hammond, IN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Internship Facebook Data Analyst information

What does an internship Facebook data analyst do?

An Internship Facebook Data Analyst assists with collecting, analyzing, and interpreting data to help inform business decisions at Meta (Facebook). They typically work with large datasets, use analytical tools like SQL and Python, and collaborate with other teams to provide insights on user behavior and product performance. Interns may also help design experiments, create dashboards, and present findings to stakeholders. This role provides hands-on experience in data analytics within a fast-paced tech environment.

What kind of projects or tasks can an intern expect to work on as a Facebook data analyst?

As a Facebook Data Analyst intern, you can expect to work on projects involving data collection, cleaning, and analysis to support various business or product goals. Typical tasks include building dashboards, running exploratory data analysis, and generating actionable insights from large datasets. Interns often collaborate closely with product managers, engineers, and other analysts to help inform product decisions and improve user experiences. The environment is fast-paced and encourages learning new analytical tools and data visualization techniques.

What are the key skills and qualifications needed to thrive as an internship Facebook data analyst, and why are they important?

To thrive as a Facebook Data Analyst intern, you need strong analytical skills, a background in statistics or data science, and proficiency in data querying languages like SQL. Familiarity with tools such as Excel, Tableau, and Facebook’s proprietary analytics platforms, along with experience in Python or R, is highly valued. Outstanding problem-solving abilities, effective communication, and a collaborative mindset make candidates stand out in this role. These skills are crucial for accurately interpreting data, generating actionable insights, and supporting business decision-making within a fast-paced tech environment.

What is the difference between Internship Facebook Data Analyst vs Facebook Data Analyst?

AspectInternship Facebook Data AnalystFacebook Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in data analysis, statistics, or related fields
Work EnvironmentInternship program, supervised, entry-level tasksFull-time, professional role, independent project work
Employer & Industry UsageInternship at Facebook, tech industryFull-time position at Facebook, tech industry
Common Search & ComparisonYesYes

The Internship Facebook Data Analyst is an entry-level, supervised role designed for students or recent graduates gaining initial experience. In contrast, a Facebook Data Analyst is a full-time professional position requiring more experience and independence. Internships often serve as a pathway to full-time roles within Facebook, with similar industry expectations but differing in responsibilities and credentials.

Can I do a Facebook Data Analyst internship?

A Facebook Data Analyst internship typically requires relevant skills in data analysis, proficiency with tools like Excel, SQL, or Python, and a background in fields such as statistics or computer science. Internships are often available to students or recent graduates and may require applying through Facebook's internship program or career portal. These internships provide hands-on experience in analyzing social media data and developing insights for the company.

Does Meta hire interns?

Yes, Meta offers internship programs, including roles such as Facebook Data Analyst interns. These internships typically require relevant skills in data analysis, proficiency with tools like Excel and SQL, and are available during summer and semester periods for students and recent graduates.

How to get an internship as a Facebook Data Analyst?

To secure an internship as a Facebook Data Analyst, candidates should have a strong foundation in data analysis, statistics, and SQL, along with familiarity with tools like Excel and data visualization software. Relevant coursework, a solid understanding of social media metrics, and experience with programming languages such as Python or R can improve chances. Applying through Facebook's internship programs or related tech company channels and demonstrating analytical skills in a portfolio or project work are also important steps.

What cities in Indiana are hiring for Internship Facebook Data Analyst jobs?

Cities in Indiana with the most Internship Facebook Data Analyst job openings:

Internship Facebook Data Analyst jobs near you

Data Science Intern

Allied Solutions LLC

Carmel, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

188th of 315 rated insurance

Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.
Job Duties and Responsibilities
  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)
  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
#LI-SJ1
#Li-Onsite
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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