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Recent Graduates Data Analyst Internship Jobs in Texas

This is for recent grads or soon to be graduates only (Grad Dates : May 2026 - December 2026) who ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

This is for recent grads or soon to be graduates only (Grad Dates : May 2026 - December 2026) who ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

Arthur Lawrence is looking for a Data Analyst one our clients in Houston, TX. Please find the below ... Recent Associations & Acknowledgments: * Been recognized as a 2023 TOP WORKPLACE by the Houston ...

Our team will work with you to identify the most recent opportunities that align with your skillset ... SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ...

Data Analyst LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... Our team will work with you to identify the most recent opportunities that align with your skillset ...

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH: -Knowledge of statistics and ability to compile and analyze data sets -Working knowledge of UI ...

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience ... Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas ...

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Recent Graduates Data Analyst Internship information

What is a recent graduates data analyst internship?

A Recent Graduates Data Analyst Internship is a short-term position designed for individuals who have recently completed their college or university studies, typically within the past two years. The role provides hands-on experience in analyzing data, creating reports, and supporting business decisions using statistical and analytical tools. Interns work closely with experienced data analysts or teams to learn industry practices, develop technical skills, and gain exposure to real-world business challenges. This internship often serves as a pathway to full-time data analyst roles.

What types of projects and data sets do recent graduates typically work with during a data analyst internship?

As a Data Analyst intern, recent graduates often work on projects involving real business data, such as customer analytics, sales trends, or operational efficiency. Interns usually start with structured tasks like cleaning and organizing data, creating dashboards, and conducting exploratory analysis, often using tools like Excel, SQL, or Python. Over time, they may be given opportunities to collaborate with senior analysts on more complex projects, present findings to stakeholders, and contribute to decision-making processes. This hands-on experience helps interns build practical skills and gain exposure to the organization's data-driven culture.

What are the key skills and qualifications needed to thrive as a recent graduates data analyst intern, and why are they important?

To thrive as a Recent Graduates Data Analyst Intern, you need a solid grasp of statistical analysis, data interpretation, and proficiency with spreadsheet and database tools, typically supported by a relevant degree or coursework. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI, as well as introductory experience with programming languages like Python or R, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out when presenting findings and collaborating with teams. These skills and qualities are essential for accurately analyzing data, generating actionable insights, and contributing to business decision-making processes.

What is the difference between Recent Graduates Data Analyst Internship vs Data Analyst?

AspectRecent Graduates Data Analyst InternshipData Analyst
QualificationsTypically pursuing or recently completed a bachelor's degree in related fieldUsually requires a bachelor's degree; some roles prefer or require a master's
Work EnvironmentInternship setting, often temporary, in corporate or consulting firmsFull-time, permanent position in various industries
ResponsibilitiesAssisting with data collection, cleaning, and basic analysis under supervisionPerforming data analysis, creating reports, and providing insights independently

The Recent Graduates Data Analyst Internship is a temporary, entry-level position designed for those starting their careers, focusing on learning and support. In contrast, a Data Analyst role is a full-time position requiring more experience and independence in analyzing data and generating insights.

What are popular job titles related to Recent Graduates Data Analyst Internship jobs in Texas?

For Recent Graduates Data Analyst Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Recent Graduates Data Analyst Internship jobs in Texas look for?

The top searched job categories for Recent Graduates Data Analyst Internship jobs in Texas are:

What cities in Texas are hiring for Recent Graduates Data Analyst Internship jobs?

Cities in Texas with the most Recent Graduates Data Analyst Internship job openings:

Entry Level Data Analyst

Meds

Austin, TX

Full-time

Posted 22 days ago


Job description

Meds.com is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 350 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. 

We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will be digging into the "why" behind our growth. You will help us optimize our subscription models, predict customer churn, and refine our marketing spend using both traditional SQL analysis and statistical modeling. 

This is for recent grads or soon to be graduates only (Grad Dates : May 2026 – December 2026) who are looking to flex their Data Science muscles. 

Join our team in Austin, TX - we're looking for someone who truly values and enjoys working in the office, not just tolerates it. 

Responsibilities
  • Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer behavior, LTV (Lifetime Value), and retention. 

  • Predictive Modeling: Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast inventory needs and subscription health. 

  • A/B Testing & Experimentation: Design and analyze rigorous experiments for our web platform and marketing funnels to ensure we are making data-driven product decisions. 

  • Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for our marketing and operations teams. 

  • Self-Service Tooling: Build and optimize Looker/Tableau dashboards that empower non-technical team members to answer their own data questions. 

  • Data Integrity: Partner with Data Engineering to ensure our "Source of Truth" remains accurate as we scale our data warehouse (Snowflake/BigQuery). 

What We’re Looking For 

  • The Essentials: 3+ years of experience in a data-heavy role. You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy). 

  • The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and regression analysis). 

  • The "Analyst" Bit: Experience with BI tools like Tableau, Looker, or Sigma. You know how to make data look as good as it performs. 

  • Product Intuition: You don't just pull data; you understand the business levers of a subscription-based telemedicine company. 

  • Bonus Points: Experience with dbt (data build tool), Airflow, or specialized experience in the healthcare/pharmacy space. 

Tech Stack 

  • Data Warehouse: Snowflake / BigQuery 

  • Languages: SQL, Python (primary), R (secondary) 

  • Visualization: Tableau / Looker 

  • Transformation: dbt 

  • Environment: Dockerized development, Git-based version control 

Qualifications

Education:

  • Bachelor’s degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master’s degree is preferred. 

Technical Requirements: 

  • SQL Mastery: You must be highly proficient in SQL for querying large datasets, joining complex tables, and data cleaning. 

  • Programming (Python/R): Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. 

  • Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that tell a story to non-technical stakeholders. 

  • Excel: Advanced skills (Pivot Tables, Power Query, complex formulas) for quick ad-hoc analysis. 

Data Science Expertise: 

  • Statistical Analysis: Understanding of A/B testing (experimentation), hypothesis testing, and regression models. 

  • Predictive Modeling: Ability to build basic models for Customer Lifetime Value (LTV), Churn Prediction, or Inventory Forecasting. 

  • Machine Learning Basics: Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression). 

Business & Domain Knowledge: 

  • Subscription Metrics: Deep understanding of SaaS/Subscription KPIs like MRR (Monthly Recurring Revenue), Churn Rate, and CAC (Customer Acquisition Cost). 

  • Marketing Analytics: Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). 

  • Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a significant plus given their telemedicine nature. 

Perks
  • 100% company-paid Medical, Dental, Vision premium coverage, plus Short-Term Disability and Life Insurance. 

  • 401K with company match. 

  • Paid time off and company-paid holidays  

  • Enjoy free daily lunch 

We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX office (fully onsite). 
 
 
 
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