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

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... You will work with experienced data engineers and analysts to build, maintain, and improve data ...

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

As of Aug 25, 2026, the average hourly pay for entry level data analyst in Grapevine, TX is $30.42, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $33.99 per hour, depending on experience, location, and employer.

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 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 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.

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.

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For Entry Level Data Analyst jobs in Grapevine, TX, the most frequently searched job titles are:

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,274 per year, or $30.4 per hour.

Entry Level Data Engineer

Dallas, TX • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Synergie Systemsexternal

$113K - $136K/yr

Other

Posted 5 days ago

Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.

Apply