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

Swoon Staffing

Data Analyst - Entry level

Houston, TX · Remote

$37/hr

Location: 100% Remote Pay Rate: $37/hour Duration: 6/22/2026 - 12/31/2026 We are seeking a Data Analyst to support business teams by analyzing large datasets, identifying trends, and delivering ...

New

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 ...

Accenture

Data Protection Sr. Analyst

Houston, TX · Hybrid

$84K - $100K/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.

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Entry Level Data Analyst information

See Spring, TX salary details

$11

$29

$54

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

As of Jun 11, 2026, the average hourly pay for entry level data analyst 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Spring, TX? The most popular types of Data Analyst jobs in Spring, TX are:
What are popular job titles related to Entry Level Data Analyst jobs in Spring, TX? For Entry Level Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Spring, TX look for? The top searched job categories for Entry Level Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Data Analyst jobs? Cities near Spring, TX with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $60,946 per year, or $29.3 per hour.
Data Analyst - Entry level

Data Analyst - Entry level

Swoon Staffing

Houston, TX • Remote

$37/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 2 days ago

Job description

Location: 100% Remote
Pay Rate: $37/hour
Duration: 6/22/2026 – 12/31/2026


We are seeking a Data Analyst to support business teams by analyzing large datasets, identifying trends, and delivering meaningful insights that drive decision-making. This is an excellent opportunity for someone early in their analytics career who enjoys working with data, problem-solving, and transforming information into actionable recommendations.


Key Responsibilities

  • Analyze large volumes of data to identify trends, patterns, and business insights
  • Review facts, figures, and metrics to support data-driven decision-making
  • Validate data accuracy and perform data quality checks
  • Create reports, summaries, and visualizations to communicate findings
  • Interpret results and provide recommendations based on analysis
  • Collaborate with cross-functional teams to understand business needs and reporting requirements
  • Support ongoing data collection, reporting, and analytics initiatives


Required Qualifications

  • 1–3 years of experience in Data Analysis, Reporting, Business Analytics, or a related field
  • Strong analytical and problem-solving skills
  • Experience working with large datasets and performing data validation
  • Proficiency in Microsoft Excel, including formulas, Pivot Tables, and data analysis functions
  • Ability to identify trends and draw meaningful conclusions from data
  • Strong attention to detail and accuracy
  • Excellent communication and organizational skills


Preferred Qualifications

  • Experience with SQL, Power BI, Tableau, or other reporting and visualization tools
  • Exposure to business intelligence, reporting, or dashboard development
  • Bachelor's degree in Business, Finance, Mathematics, Statistics, Economics, or a related field