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Junior Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Sr. Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Provides guidance to junior data modelers. * Performs independent and complex technical and functional analysis for multiple divisional initiatives. * Develops innovative solutions to support ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

This may require financial data analysis, trend recognition, and research as well as the preparation of visualizations and presentations under supervision. * Conduct data collection, normalization ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Showing results 41-60

Junior Data Analyst information

See Raleigh, NC salary details

$33.5K

$77.1K

$123.9K

How much do junior data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior data analyst in Raleigh, NC is $77,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $79,200.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are the most commonly searched types of Data Analyst jobs in Raleigh, NC?

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

What cities near Raleigh, NC are hiring for Junior Data Analyst jobs?

Cities near Raleigh, NC with the most Junior Data Analyst job openings:

Infographic showing various Junior Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,132 per year, or $37.1 per hour.

Sr. Data Analyst

Lucid Software

Raleigh, NC • On-site, Remote

$83K - $105K/yr

Full-time

Posted 24 days ago


Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

In today's tech environment, strategic thinking must be paired with strong analytical skills. As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting results, and driving change. This role is designed for candidates who have already honed their technical skills working with data and are ready to take their careers to the next level.

Analysts on the Strategy & Analytics team support groups across the whole business, allowing you to see multiple sides of the business and expand your knowledge and experience. These groups include Marketing, Demand Generation, Sales Operations, Customer Experience, Product, and Strategy. The tool sets developed and used are similar across these functions, but each presents domain-specific challenges that will provide unique opportunities for learning.

Some examples of past projects from our team include creating a customer health score to highlight at-risk accounts, identifying opportunities to accelerate product adoption at enterprise companies, creating tools to automate the analysis of A/B tests, finding ways to increase collaboration and virality of our product, and building dashboards to help sales reps target high-potential accounts.

Although your day-to-day work will be with the function to which you are assigned, you will be well-supported by the rest of the Strategy & Analytics team. While we are distributed throughout the company, we maintain close ties by holding weekly team trainings, daily working sessions, and regular team activities. We help each other whenever possible, and with the collective efforts of the full team, there's rarely a question we can't answer.

Responsibilities:

  • Work with senior leaders and other stakeholders within various departments at Lucid
  • Identify and understand problems and opportunities
  • Come up with data-driven recommendations
  • Implement new initiatives that help grow the business
  • Other duties as assigned

Requirements:

  • Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field
  • 4+ years professional experience 
  • Proficient with SQL
  • Strong understanding of statistics and hypothesis testing
  • Great communication skills, both written and verbal
  • Able to think strategically and tackle open-ended problems
  • Detail-oriented, organized, and a good team player

Preferred Qualifications:

  • Passion for problem-solving - If you've ever been so absorbed in a problem that your mind couldn't rest until you figured it out, you'll be in good company.
  • Willing to help and be helped - Our impact comes only through helping others make better decisions using data. We recognize that we're stronger together - there's no shame in asking for help, we're not afraid to say "I don't know", and we actively seek feedback.
  • Desire to learn - You'll often be answering questions that have never been answered before, which requires a high level of intellectual curiosity and an eagerness to dive into new problems, domains, tools, and techniques.

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