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Entry Level Data Analysis Jobs in Spring, TX (NOW HIRING)

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics. The position will work under the ...

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics. The position will work under the ...

Tetra Tech

Travel Data Analyst

Houston, TX

Every employee begins as an entry level analyst to develop and progress understanding of required tasks. These tasks will include data entry and reconciliation, project reporting, and file ...

Tetra Tech

Travel Data Analyst

Houston, TX · On-site

Every employee begins as an entry level analyst to develop and progress understanding of required tasks. These tasks will include data entry and reconciliation, project reporting, and file ...

Tetra Tech, Inc.

Travel Data Analyst

Houston, TX · On-site

Every employee begins as an entry level analyst to develop and progress understanding of required tasks. These tasks will include data entry and reconciliation, project reporting, and file ...

Accenture

Data Protection Sr. Analyst

Houston, TX · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

LSPI

Entry Level Project Engineer

Houston, TX · On-site

$64.90K - $85.70K/yr

Summary: The Entry Level Project Engineer provides technical support regarding the use of Flow ... subsequent data analysis, and documenting tests in TSRs * Supports the maintenance of LSPI ...

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Entry Level Data Analysis information

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$29

$54

How much do entry level data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for entry level data analysis in Spring, TX is $29.30, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $32.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Spring, TX? The most popular types of Data Analysis jobs in Spring, TX are:
What job categories do people searching Entry Level Data Analysis jobs in Spring, TX look for? The top searched job categories for Entry Level Data Analysis jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Data Analysis jobs? Cities near Spring, TX with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Spring, TX as of May 2026, with employment types broken down into 63% Full Time, 20% Part Time, 3% Temporary, and 14% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $60,946 per year, or $29.3 per hour.
AI Analyst I

AI Analyst I

Strike

Spring, TX • On-site

Full-time

Posted 9 days ago

Job description

This is an onsite role based at our Spring, TX office!
Job Summary:

Strike is seeking a motivated and detail-oriented AI Analyst to support the development and implementation of AI and machine learning solutions. This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics.

The position will work under the guidance of senior team members and management to analyze data, assist with model development, and help translate business problems into data-driven insights. This role is based at Strike’s corporate headquarters in The Woodlands, TX and reports to the Business Intelligence Manager.

Key Responsibilities:

  • Assist in collecting, cleaning, and preparing data for analysis and modeling.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Support development and testing of machine learning models and AI solutions.
  • Help monitor model performance and report on accuracy and outcomes.
  • Create basic dashboards, reports, and visualizations to communicate insights.
  • Collaborate with team members to understand business requirements and translate them into analytical tasks.
  • Document processes, models, and results for internal use.
  • Stay current with AI tools, techniques, and best practices.
  • Assist in identifying opportunities for automation and AI-driven improvements.
  • Documents user manuals to describe operating procedures, and provide user training, as needed.
  • Works closely with the assigned project manager(s) and other project resource to deliver high quality solutions and process improvements.
  • Follows all approved Strike PMO and ITSM processes including the use of prescribed templates.

Skills:

  • Analytical thinking and problem solving.
  • Curiosity and eagerness to learn.
  • Time management and organization.
  • Collaboration and teamwork.
  • Ability to communicate effectively.
  • Ability to quickly learn new solutions, processes, and procedures.
  • Ability to understand business functionality and translate it into solution requirements.
  • Understanding of the various software development lifecycles (e.g. Agile, Waterfall, etc.).

Required Qualifications:

  • Bachelor’s degree in Data Science, AI, Statistics, Mathematics, or a related field.
  • Basic proficiency in Python, R, or a similar programming language.
  • Familiarity with SQL and working with datasets.
  • Understanding of fundamental statistics and data analysis concepts.
  • Exposure to machine learning concepts (e.g., regression, classification, clustering).
  • Experience with Excel and/or data visualization tools (Power BI, etc.).
  • Strong attention to detail and willingness to learn.
  • Good written and verbal communication skills.

Preferred Qualifications:

  • Experience with ML libraries through coursework or projects.
  • Exposure to cloud platforms (Azure, AWS, or GCP).
  • Experience using Microsoft’s Copilot suite.
  • Basic knowledge of data pipelines or ETL processes.
  • Familiarity with generative AI tools or APIs.
** Must have USA work authorization. Sponsorship not available**

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