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Entry Level Data Analyst Jobs in Matthews, NC (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Charlotte, NC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

TCP Analytical

Chemist(Entry-Level)

Charlotte, NC · On-site

$21.25 - $28.50/hr

... data. * Perform QC measurements (typically wet chemistry methods) on manufactured and other ... Analytical chemistry experience is a plus. Required Skills * The candidate must be able to adapt in ...

New

Grupo Bimbo

Senior Sales Analyst

Charlotte, NC · On-site +1

$78K - $102K/yr

This entry-level role is responsible for transforming retailer sales data into actionable business ... The analyst will maintain and validate syndicated and retailer data sources, develop reporting ...

Bimbo Bakeries USA

Senior Sales Analyst

Charlotte, NC · On-site +1

$78K - $102K/yr

This entry-level role is responsible for transforming retailer sales data into actionable business ... The analyst will maintain and validate syndicated and retailer data sources, develop reporting ...

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Entry Level Data Analyst information

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

As of Aug 28, 2026, the average hourly pay for entry level data analyst in Matthews, NC is $30.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $34.57 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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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Matthews, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $64,362 per year, or $30.9 per hour.

Data Analyst (27455)

Charlotte, NC • On-site

Sunlight Financial LLC.
See more jobs at Sunlight Financial LLC.external

Other

Posted 21 days ago

Job description

Data Analyst
Location: Charlotte, NC (Hybrid)
Team: Credit & Pricing
Reports to: Senior Manager, Credit Risk
Level: Entry Level (1-3 Years Experience)
About Sunlight Financial
Sunlight Financial is a technology-enabled, point-of-sale financing platform that empowers residential home improvement contractors and their customers. Our platform streamlines consumer finance with fast, frictionless loan approvals and funding, backed by a broad network of capital providers. We're committed to delivering smart, secure, and scalable financial solutions that drive growth and trust across the industry.
Learn more at www.sunlightfinancial.com
About the Role
We're looking for a curious, Python-fluent Data Analyst to join our team at Sunlight Financial. In this role, you'll sit at the intersection of data engineering, business intelligence, and emerging AI, helping our company deliver smarter financing experiences to home improvement customers across the country.
You'll work closely with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into reliable pipelines, actionable insights, and tools that drive real business decisions. This is a hands-on role for someone who loves to build, automate, and explore and who's excited about integrating LLM and AI capabilities into everyday data workflows.
Application Instructions
To be considered for this position, please include the exact job title, "Data Analyst" in red font at the very top of your resume. Applications that do not include this requirement may not be considered.
What You'll Do
  • Build and maintain data pipelines - design, automate, and monitor workflows that move and transform data reliably across our systems.
  • Develop and maintain dashboards and reports - create clear, accurate reporting that stakeholders across the business can trust and act on.
  • Conduct ad hoc analysis - respond to business questions from Sales, Finance, Underwriting, and Product teams with timely, well-structured analysis.
  • Integrate AI and LLM capabilities - work with APIs such as OpenAI and Claude to explore and implement AI-assisted automation within our data workflows.
  • Support cross-functional data needs - partner with Product, Engineering, and customer-facing teams to understand data requirements and deliver solutions.
  • Contribute to data quality and documentation - help maintain standards, definitions, and documentation that keep our data trustworthy and scalable.

Required
  • 2-3 years of hands-on experience working with Python in professional or project-based settings; we want to see Python used in multiple contexts across your background (e.g., data wrangling, automation, analysis, API integrations).
  • Strong SQL skills with experience querying and transforming real-world datasets.
  • Experience building or contributing to data pipelines or automated workflows.
  • Familiarity with dashboard/reporting tools and a track record of delivering clear data visualizations.
  • Comfort working with APIs and integrating external data services.
  • Strong written and verbal communication - you can explain technical work to non-technical stakeholders.

Nice to Have
  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar).
  • Exposure to the financial services, fintech, or lending space.
  • Familiarity with data quality practices, testing, or documentation standards.
  • Experience in a startup or fast-moving team environment.

Why Join Us?
This is a high-impact role on Sunlight Financial's Credit & Pricing team. You will work directly with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into pipelines, insights, and tools that drive real business decisions. Join a fast-evolving, data-driven team where your work makes a real difference.
For additional details surrounding Sunlight's culture and benefits, please visit https://sunlightfinancial.com/careers/
An Equal Opportunity Employer
Sunlight provides equal employment opportunities (EEO) to all employees and applicants for employment regardless of race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sunlight complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Sunlight expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Sunlight's employees to perform their job duties may result in discipline up to and including discharge.

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