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Internship Jr Data Analyst Jobs in Texas (NOW HIRING)

Jr.Data Engineer

Dallas, TX

$113K - $136K/yr

Fresher JD Mandatory: · Solid understanding of data structures and algorithms (sort, select ... solving and analytical skills Nice to have: · Knowledge of Azure · Knowledge of Business ...

Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting Familiarity with ...

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 ...

... internships, research or personal projects is preferred but not required. • Foundational understanding of development data/AI engineering and analysis concepts and technologies, such as object ...

Supercharge Your Career as a Jr Finance Analyst at Technoidentity Technoidentity -- Durable Product ... At Technoidentity, we're a Data+AI product engineering company building cutting-edge solutions in ...

Internship and/or academic experience involving analysis of large volumes of data, with hands-on experience using analytical tools. Ability to gather, analyze, restructure, and articulate insights ...

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Internship Jr Data Analyst information

See Texas salary details

$9

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$38

How much do internship jr data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for internship jr data analyst in Texas is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.93 per hour, depending on experience, location, and employer.

What does an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

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

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

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

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

Infographic showing various Internship Jr Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,527 per year, or $20.9 per hour.
Anblicks
IT Services • 501 - 1,000 employees

$113K - $136K/yr

Full-time

Re-posted yesterday


Job description

Fresher JD
Mandatory:
· Solid understanding of data structures and algorithms (sort, select, search, trees, graphs, collections etc)
· Academic hands-on experience in Java or Scala or Python code (should be proficient)
· Academic hands-on experience in SQL (at least in one RDBMS: SQL Server or Postgres or MySQL or Oracle)
· Academic hands-on Linux experience (CentOS or Ubuntu)
· Good problem solving and analytical skillsNice to have:
· Knowledge of Azure
· Knowledge of Business Intelligence tools like Power BI
· Knowledge of Data Science
· Knowledge of distributed computing and/or massively parallel processing concepts and frameworks (at least one): Spark, Kafka, MapReduce, Impala
· Knowledge of Big Data technologies: Hadoop, HDFS, Hive, Impala, HBase, MongoDB, Cassandra, Kafka
· Knowledge of Spark and Spark SQL routines to process large volumes of data
· Knowledge of data warehousing and data modeling skills