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Entry Level Data Analyst Jobs in Lexington, NE (NOW HIRING)

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.

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.

The Manufacturing Financial Analyst is responsible for providing operating management with ... Cost Deployment responsibilities including data collection and CD development matrices * Logistics ...

The Manufacturing Financial Analyst is responsible for providing operating management with ... Cost Deployment responsibilities including data collection and CD development matrices * Logistics ...

2027 Intern - Technology

Kearney, NE · On-site

$13.50 - $18/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Kearney, NE · On-site

$13.50 - $18/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Entry Level Data Analyst information

See Lexington, NE salary details

$12

$31

$58

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

As of Sep 2, 2026, the average hourly pay for entry level data analyst in Lexington, NE is $31.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $34.62 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.

What cities near Lexington, NE are hiring for Entry Level Data Analyst jobs?

Cities near Lexington, NE with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Lexington, NE as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,502 per year, or $31 per hour.

AI Developer & Data Scientist IRC303082

GlobalLogic

Gothenburg, NE • On-site

$55 - $85/hr

Other

Posted yesterday

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GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

166th of 247 rated software companies


Job description

AI, Automotive, Data Engineer, Data Science, Machine Learning, Python

We are seeking an enthusiastic Student or Recent Graduate (AI Developer & Data Scientist) to support the development of our AI-based Measurement Analytics Tool. In this entry-level role, you will have the unique opportunity to apply your academic knowledge to real-world challenges, helping to build and refine a functional Proof of Concept (POC) that turns vehicle telemetry and diagnostic logs into software verification insights. Working under the direct mentorship of senior architects, you will help implement basic ML pipelines, data cleaning scripts, and prototype user interfaces. This role is highly learning-oriented, designed for individuals eager to grow their skills in a professional automotive data science environment.

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Requirements
  • Experience Level: No professional experience required. Strong portfolio of academic coursework, university lab projects, github repositories, hackathons, or personal projects demonstrating hands-on Python development.
  • Core Technical Stack: Solid foundational programming skills in Python, with exposure to standard libraries through coursework or projects.
  • Basic ML Concepts: Academic exposure to machine learning fundamentals, such as time-series analysis, clustering algorithms, or introductory Natural Language Processing (NLP).
  • Data Manipulation: Ability to write scripts to parse, filter, and format raw files (like CSVs or text logs).
  • Aptitude & Passion: High curiosity, strong problem-solving skills, and a keen interest in learning vehicle systems, automotive protocols (e.g., CAN, LIN), or diagnostic logs.
  • Education: Currently pursuing or recently completed a Bachelor’s (B.Sc.) or Master’s (M.Sc.) degree in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.
Job responsibilities
  • AI/ML Pipeline & Development Support: Assist with the development, testing, and documentation of data-processing pipelines and machine learning components optimized for vehicle datasets.
  • Data Cleaning & Exploratory Analysis: Help inspect, clean, and structure text-based diagnostic logs and numerical telemetry streams (such as bus logs and sensor measurements) for analysis.
  • Model Testing & Prototyping: Support the implementation and testing of baseline analytical models (including time-series classification, clustering, or prompt engineering for basic NLP/LLM assistants).
  • UI Prototyping & Coding: Write clean, readable, and well-documented Python code. Assist in building simple web interfaces or APIs to help package these analytical tools.
  • Technical Collaboration & Learning: Actively participate in team syncs, gather engineering requirements under guidance, and learn the fundamentals of vehicle software systems from domain experts.
What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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