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

SAP SD Business Systems Analyst

Houston, TX · On-site

$50 - $66.75/hr

... as an Entry-Level SAP SD/MM Analyst. This role is ideal for candidates interested in building a ... Help maintain SAP master data related to customers, materials, vendors, and purchasing/sales ...

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 ...

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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 Jul 4, 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 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:
Infographic showing various Entry Level Data Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,946 per year, or $29.3 per hour.
SAP SD Business Systems Analyst

SAP SD Business Systems Analyst

Farouk Systems

Houston, TX • On-site

$50 - $66.75/hr

Other

Posted 11 days ago


Job description

Farouk Systems is a global leader in the professional beauty industry, renowned for its high-quality hair care products and innovative technologies. We are currently undertaking a significant and exciting initiative to upgrade our core SAP ECC 6.0 environment to SAP S/4HANA Public Cloud, thereby seamlessly integrating with our B2B and B2C customers.
Position Summary:
We are seeking a motivated and detail-oriented recent college graduate to join our team as an Entry-Level SAP SD/MM Analyst. This role is ideal for candidates interested in building a career in SAP functional support, business process analysis, and enterprise systems.
The analyst will support business users and IT teams in the areas of Sales and Distribution (SD) and Materials Management (MM), helping maintain system operations, troubleshoot issues, support projects, and assist with process improvements across order management, procurement, inventory, and related business functions.
This position provides an opportunity to gain hands-on experience with SAP business processes, work with cross-functional teams, and develop foundational knowledge in one of the world's leading ERP platforms
Key Responsibilities:
SAP Support & Administration

  • Provide day-to-day functional support for SAP Sales & Distribution (SD) and Materials Management (MM) processes.
  • Assist in resolving production support issues, including order processing, pricing, shipping, purchasing, goods movements, and inventory transactions.
  • Monitor support tickets, troubleshoot problems, and escalate issues to senior analysts or technical teams when needed.
  • Help maintain SAP master data related to customers, materials, vendors, and purchasing/sales documents.
  • Support testing activities for system changes, enhancements, upgrades, and defect fixes.
Business Process Support
Work with business users to understand operational processes and identify system-related issues or improvement opportunities.
Assist in documenting current and future business processes related to:
  • Order-to-Cash
  • Procure-to-Pay
  • Inventory Management
  • Shipping and Receiving
  • Material Master and Vendor Master processes
  • Support the creation of functional specifications, process documentation, and user guides.
Project & Enhancement Support
  • Participate in SAP implementation, enhancement, or continuous improvement initiatives under the guidance of senior team members.
  • Assist in gathering business requirements and translating them into system support needs.
  • Support user acceptance testing (UAT), test script creation, and validation of business scenarios.
  • Help coordinate with technical teams, integration teams, and business stakeholders during project execution.
Training & Documentation
  • Create and update end-user documentation, training materials, and quick reference guides.
  • Provide support during training sessions for business users.
  • Maintain accurate records of issue resolutions, process steps, and configuration-related documentation.
Collaboration & Continuous Improvement
  • Collaborate with cross-functional teams including Supply Chain, Customer Service, Procurement, Warehouse, Logistics, Finance, and IT.
  • Learn and apply SAP best practices and company standards for system usage and support.
  • Identify opportunities to improve efficiency, data accuracy, and process consistency.
  • Stay current on SAP functionality and related business processes through training and practical experience.
Required Qualifications:
  • Bachelor's degree in one of the following or a related field:
    • Information Systems
    • Computer Science
    • Supply Chain Management
    • Business Administration
    • Management Information Systems
    • Industrial Engineering
  • 0-2 years of professional experience (internships, co-ops, or academic project experience acceptable).
  • Strong interest in ERP systems, business process analysis, and SAP functional support.
  • Understanding of business processes related to sales, procurement, inventory, or supply chain operations.
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.
  • Ability to work effectively in a team-oriented environment.
  • Strong organizational skills and attention to detail.
  • Proficiency in Microsoft Office tools such as Excel, Word, and PowerPoint.
Preferred Qualifications:
  • Internship, coursework, or project experience involving SAP, ERP systems, or supply chain/business operations.
Exposure to SAP modules such as:
  • SAP Sales & Distribution (SD)
  • SAP Materials Management (MM)
Basic understanding of:
  • Order management
  • Purchasing processes
  • Inventory management
  • Shipping/logistics processes
  • Master data concepts
  • Familiarity with ticketing/support processes or IT service management concepts.
  • Experience with data analysis, reporting, or Excel-based reconciliation.
  • Knowledge of integration points between SD/MM and other SAP modules such as FI, WM, EWM, or PP is a plus.
Key Skills:
Technical / Functional Skills
  • Basic understanding of SAP ERP concepts
  • Knowledge of Order-to-Cash and Procure-to-Pay processes
  • Business process documentation
  • Functional testing and test script execution
  • Data analysis and issue troubleshooting
  • Master data support
Soft Skills
  • Strong communication skills
  • Willingness to learn
  • Problem-solving mindset
  • Attention to detail
  • Time management
  • Team collaboration
  • Customer service orientation

Ideal Candidate Profile:
The ideal candidate is a self-starter eager to learn SAP and enterprise business processes, with a strong interest in how technology supports operations across sales, purchasing, and supply chain functions. They should be comfortable working with both business and technical teams, managing multiple tasks, and developing expertise in a fast-paced environment.