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

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Open to entry-level through senior candidates; no minimum or maximum years of experience required ...

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As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

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Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

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Entry Level Data Analyst information

See Cary, NC salary details

$12

$30

$57

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

As of Aug 21, 2026, the average hourly pay for entry level data analyst in Cary, NC is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $34.09 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 are the most commonly searched types of Data Analyst jobs in Cary, NC?

The most popular types of Data Analyst jobs in Cary, NC are:

What are popular job titles related to Entry Level Data Analyst jobs in Cary, NC?

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

What cities near Cary, NC are hiring for Entry Level Data Analyst jobs?

Cities near Cary, NC with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Cary, NC as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $63,447 per year, or $30.5 per hour.

$27 - $28/hr

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Job description

Location: Raleigh, NC Salary: $27.00 USD Hourly - $28.00 USD Hourly Description: Our client is currently seeking a Data Analyst
Job Summary: Data Analytics / Data Engineer Contractor
This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone who can quickly learn the organization's systems, become an independent contributor, and provide support across data analytics, automation, and reporting initiatives.
Additional Details
  • Interview Process: Typically one 45-minute virtual interview (sometimes 30 minutes). A second round may occur if needed.
  • Work Schedule: Hybrid, 2 days onsite and 3 days remote.
  • Experience Level: Open to entry-level through senior candidates; no minimum or maximum years of experience required if skills and education align.
  • Industry Experience: No specific industry background required.

Key Responsibilities
  • Develop and execute SQL queries for data analysis and reporting.
  • Work within Snowflake to access, manage, and analyze data.
  • Build and maintain automation scripts using Python.
  • Utilize Databricks for data processing and scripting activities (nice-to-have, can be learned if strong Python skills are present).
  • Create dashboards and data visualizations using Power BI.
  • Support large-scale system modernization projects.
  • Communicate effectively with team members and stakeholders.
  • Quickly learn business processes, systems, and project requirements.

Required Skills
  1. SQL (Non-Negotiable)
    • Strong SQL querying experience is essential.
    • Snowflake experience is preferred, but strong SQL skills can substitute since Snowflake is heavily SQL-based.
  2. Python (Non-Negotiable)
    • Used for automation and scripting.
    • Strong to advanced Python skills are highly preferred.
  3. Power BI
    • Dashboard development and data visualization.
    • Experience with DAX is beneficial.

Preferred Skills
  • Snowflake
  • Databricks
  • Experience with automation and data engineering workflows.
  • Strong analytical and problem-solving abilities.

Soft Skills
  • Excellent communication skills.
  • Fast learner who can ramp up quickly.
  • Ability to work independently after initial onboarding.
  • Strong collaboration skills.

Education Requirements
  • Minimum Bachelor's Degree in:
    • Computer Science
    • Computer Engineering
    • Industrial Engineering
    • Or a related technical discipline

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