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

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering ...

Ensure data integrity and consistency across source systems, transformation workflows, and ... Job Details Requisition Number: 209187 Experience Level: Entry-Level Job Family: Support Services ...

Ensure data integrity and consistency across source systems, transformation workflows, and ... Job Details Requisition Number: 209187 Experience Level: Entry-Level Job Family: Support Services ...

Ensure data integrity and consistency across source systems, transformation workflows, and ... Job Details Requisition Number: 209187 Experience Level: Entry-Level Job Family: Support Services ...

Ensure data integrity and consistency across source systems, transformation workflows, and ... Job Details Requisition Number: 209187 Experience Level: Entry-Level Job Family: Support Services ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

... data analytics and implementation). Both entry and mid-level applicants are encouraged to apply as on-the-job training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ...

... data analytics and implementation). Both entry and mid-level applicants are encouraged to apply as on-the-job training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ...

... data analytics and implementation). Both entry and mid-level applicants are encouraged to apply as on-the-job training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ...

Showing results 21-40

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 Jul 25, 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 start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having 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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

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.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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.
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 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:
Infographic showing various Entry Level Data Analyst job openings in Spring, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,946 per year, or $29.3 per hour.

Entry Level Technologist

Sogeti

Houston, TX • On-site

$24.25 - $33.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Details
LAUNCH YOUR CAREER WITH SOGETI!
At Sogeti, part of the Capgemini Group, we empower new graduates to turn curiosity into solutions, creativity into client impact, and learning into accelerated career growth. If you're excited to solve complex challenges, work with emerging technologies, and collaborate with industry-leading clients across the U.S., this is your launchpad.
As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on your background and interests:
  • Applications, Cloud & Experience
  • Quality Engineering
  • Insights & Data

From your first day, you could be contributing to real client initiatives designing modern applications, enhancing digital experiences, supporting cloud transformations, engineering quality at scale, or turning data into business insight.
Artificial Intelligence touches every part of our work, giving you the opportunity to learn and build with the most innovative tools shaping the future of consulting.
What you will do at Sogeti:
  • Partner with clients to understand business challenges and contribute to solutions that matter.
  • Work on modern, high visibility projects using cutting-edge technologies.
  • Learn directly from experienced consultants through structured mentorship and ongoing development.
  • Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering-through internal communities and training paths.
  • Collaborate with national teams on projects that span industries including healthcare, retail, manufacturing, financial service, and more.
  • Build a career path with clear opportunities for advancement, certifications, and specializations.

What you will bring:
  • A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field.
  • Strong analytical and problem-solving abilities, paired with a drive to learn fast and take on new challenges.
  • Clear, confident communication skills and a natural ability to collaborate with teammates and clients.
  • A passion for technology and curiosity about how innovative solutions can make a real impact.
  • A growth mindset demonstrated through your coursework, internships, side projects, leadership roles, hackathons, research, or self-taught exploration.
  • The enthusiasm to thrive in dynamic, fast-moving environments where teamwork and creativity fuel success.

Why Sogeti:
  • Impact. From day one, you may contribute to real-world projects, not just shadow work.
  • Professional growth. Certifications, mentorship, and career coaching are built into your experience.
  • Community. We're big enough to offer enterprise-grade opportunities but small enough to know your name.
  • Work that matters. Our consultants shape digital transformation for clients across the U.S.
We are currently hiring college graduates into our Texas division, with openings available in
  • Houston
  • Austin
  • Dallas
If you are looking to launch your consulting career in one of these growing markets, we encourage you to apply and begin your journey with Sogeti.
Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
  • Flexible work options
  • 401(k) with 150% match up to 6%
  • Employee Share Ownership Plan
  • Medical, Prescription, Dental & Vision Insurance
  • Life Insurance
  • 100% Company-Paid Mobile Phone Plan
  • 3 Weeks PTO + 7 Paid Holidays
  • Paid Parental Leave
  • Adoption, Surrogacy & Cryopreservation Assistance
  • Subsidized Back-up Child/Elder Care & Tutoring
  • Career Planning & Coaching
  • $5,250 Tuition Reimbursement & 20,000+ Online Courses
  • Employee Resource Groups
  • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
  • Disaster Relief Programs

About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | www.sogeti.us
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert $65,000
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.