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Startup Entry Level Data Analyst Jobs in Texas (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data and providing results. Works under close ...

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... analytics or a related subject area * Experience working with relational databases and coding in ...

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... analytics or a related subject area * Experience working with relational databases and coding in ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Data Analyst * Business Analyst * BI Developer * SQL Developer * Data Engineer * Data Integration Specialist * AI/Data Consultant What We're Looking For: * Bachelor's or Master's degree in Computer ...

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Data validation / QA automation Should have - important, less urgent * Operations work queue ... Comfort with ambiguity and shifting priorities - we're a startup, and this role will help shape its ...

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Startup Entry Level Data Analyst information

What does a startup entry level data analyst do?

A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.

What are the key skills and qualifications needed to thrive as a startup entry level data analyst?

To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.

What are the most common challenges faced by entry-level data analysts working at startups?

Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.

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

AspectStartup Entry Level Data AnalystStartup Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, basic modelingAdvanced modeling, machine learning, algorithm development
Employer & Industry UsageStartups, tech companies, small businessesStartups, tech firms, research-focused companies

Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.

What job categories do people searching Startup Entry Level Data Analyst jobs in Texas look for?

The top searched job categories for Startup Entry Level Data Analyst jobs in Texas are:

What cities in Texas are hiring for Startup Entry Level Data Analyst jobs?

Cities in Texas with the most Startup Entry Level Data Analyst job openings:

Infographic showing various Startup Entry Level Data Analyst job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Entry-Level Data Analyst

Dhalite Inc.

Dallas, TX • On-site

Other

Posted 12 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets