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

SPECTRUM

Entry Level Sales

Waco, TX

$25K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

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Entry Level Data Analyst information

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$56

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

As of Jul 29, 2026, the average hourly pay for entry level data analyst in Hewitt, TX is $30.26, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $33.80 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.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Hewitt, TX? The most popular types of Data Analyst jobs in Hewitt, TX are:
What cities near Hewitt, TX are hiring for Entry Level Data Analyst jobs? Cities near Hewitt, 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 Hewitt, TX as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $62,945 per year, or $30.3 per hour.
Manufacturing Methods Analyst 1 - HOLT Manufacturing

Manufacturing Methods Analyst 1 - HOLT Manufacturing

HOLT Group

Waco, TX • On-site

Full-time

Posted 17 days ago

Job description

Manufacturing Methods Analyst 1 - HOLT Manufacturing
Department: Machine Division (MAC)
Employment Type: Full Time
Location: Waco Mfg and Rebuild
Description
The Manufacturing Methods Analyst 1 is responsible for supporting the development, maintenance, and accuracy of Methods of Manufacturing (MoM) within the ERP system. This entry-level role supports New Product Introduction (NPI), promotes improvements in labor standards and process accuracy, and ensures manufacturing data reflects current, optimized shop floor practices. This position works cross functionally with Engineering, Manufacturing, Quality, and Planning to support efficient, scalable, and repeatable production.
The incumbent in this position is expected to model the following practices on a daily basis: 1) Demonstrate alignment with the company's mission and core business values; 2) Collaborate with key internal/external resources; 3) Participate in ongoing self-development.
Essential Functions
  • Models, promotes, reinforces, and rewards the consistent use of HOLT's Values Based Leadership (VBL) tools, models, and processes to ensure alignment with our Vision, Values, and Mission
  • Assists in creating, reviewing, and maintaining Methods of Manufacturing (MoM) in Epicor, including routings, operations, labor standards, and material flow
  • Supports updates to MoMs resulting from engineering changes, process improvements, or production feedback
  • Verifies that MoMs accurately reflect shop floor practices and current manufacturing processes
  • Learns and documents standard manufacturing processes and workflows
  • Supports time studies and data collection
  • Validates BOM and routing alignment
  • Participates in NPI builds
  • Maintains ERP data accuracy
  • Works safely at all time and adheres to all applicable safety policies; complies with all company policies, procedures, and standards
  • Requires regular and punctual employee attendance
  • Performs other duties as assigned

Knowledge, Skills, and Abilities
  • Basic computer skills, including Microsoft suite
  • Ability to learn ERP systems and manufacturing workflows
  • Strong attention to detail
  • Clear and effective communication skills, both verbal and written; ability to effectively communicate with team members, suppliers, and management
  • Excellent organization and time management skills with the ability to work independently and as part of a team
  • Accuracy of assigned routings
  • Improved data quality
  • Critical thinking and problem-solving skills to quickly address and resolve issues
  • Ability to be self-starting, self-motivated, and organize work activities to use time efficiently

Requirements
Education and Experience:
  • High school diploma or equivalent required
  • One to three years of work-related skill, knowledge, or experience preferred
  • Basic ERO exposure preferred

Supervisory Responsibilities:
  • None

Travel:
  • Up to 25% travel to supplier locations or between facilities may be required
  • Valid driver's license required

Physical Requirements:
  • Reasonable accommodations may be made to enable individuals with disabilities to perform job duties and responsibilities
  • This position involves extended periods in a stationary position; additionally, occasional movement inside the office to access office machinery, file cabinets, etc.
  • This role frequently communicates with others, must be able to exchange accurate information in a professional manner
  • This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
  • Occasionally moves materials or equipment weighing up to 10 lbs.

Work Environment:
  • This job is generally performed in a professional office environment, in environmentally controlled conditions
  • Frequently works at fast pace with unscheduled interruptions

Disclaimer:
Please note that the above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not to be interpreted as an exhaustive list of all responsibilities, duties, and skills required of the incumbents so classified. All incumbents may be required to perform duties outside of their normal responsibilities, as needed.

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