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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

HS Diploma plus 7+ years of relevant experience in data analysis, preferably within pharmaceutical manufacturing or a similar regulated industry, OR associate degree plus 5 years of relevant ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Modeler (MISMO)

Cary, NC

$55.75 - $72.25/hr

Mortgage associates experienced in Servicing domain specifically Active ,Default and Secondary ... validation, and analysis. • Work with semi-structured data (JSON) for ingestion, parsing, and ...

New

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace ...

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Associate Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do associate data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for associate data analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

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 are popular job titles related to Associate Data Analyst jobs in Raleigh, NC? For Associate Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Associate Data Analyst jobs? Cities near Raleigh, NC with the most Associate Data Analyst job openings:
Data Engineer - Senior Associate

Data Engineer - Senior Associate

Pwc

Raleigh, NC • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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