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Entry Level Database Analyst Jobs in Georgia (NOW HIRING)

Solid foundation in data structures, algorithms, and software design with strong analytical and ... database design and development (SQL, stored procedures, data modeling) Experience with messaging ...

Solid foundation in data structures, algorithms, and software design with strong analytical and ... database design and development (SQL, stored procedures, data modeling) Experience with messaging ...

$49K - $113K/yr

... databases and systems and computer-generated products. Uses available information technology (IT) software programs to produce reports of financial data. Uses IT products to assist others in analyses ...

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Entry Level Database Analyst information

See Georgia salary details

$11

$27

$52

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

As of Jul 13, 2026, the average hourly pay for entry level database analyst in Georgia is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $31.06 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Database Analyst, and why are they important?

To thrive as an Entry Level Database Analyst, you need a solid understanding of database fundamentals, SQL querying, and data modeling, typically supported by a relevant degree in computer science or information systems. Familiarity with database management systems like MySQL, Oracle, or SQL Server and basic data visualization or reporting tools is commonly required. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies enable accurate data management, facilitate clear reporting, and support teamwork in ensuring data-driven decision-making.

What are entry level database analysts?

Entry level database analysts are professionals who help manage, organize, and analyze data within a company's database systems. They are responsible for ensuring data integrity, running queries, generating reports, and assisting with the maintenance and improvement of databases under the guidance of senior staff. These roles typically require foundational knowledge of database management systems, SQL, and data analysis techniques, as well as attention to detail and problem-solving skills. Entry level database analysts often work closely with IT teams and business units to support data-driven decision making.

What are some common challenges faced by entry level database analysts, and how can they overcome them?

Entry level database analysts often encounter challenges such as understanding complex database structures, managing large volumes of data, and ensuring data accuracy. Adapting to new database technologies and learning to write efficient queries can also be initially daunting. To overcome these challenges, analysts should seek mentorship from senior team members, utilize online training resources, and actively participate in team meetings to gain practical insights. Regular practice with real datasets and staying updated with industry-standard tools will also build confidence and expertise over time.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data management, Excel, and SQL. These roles often serve as starting points for developing expertise in data analysis, reporting, and visualization tools like Tableau or Power BI.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior experience, but having skills in SQL, Excel, and data visualization tools can improve your chances. Employers may consider candidates with relevant coursework, certifications, or internships. Demonstrating analytical skills and a willingness to learn can help you qualify for such roles.

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

Entry-level data analyst positions often require foundational skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Gaining relevant certifications, completing online courses, and building a portfolio with sample projects can improve your chances, even without prior work experience.

Is 40 too late for data science?

Entry level database analysts and data science roles often value skills and experience over age. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, making age less of a barrier. Continuous learning and certifications can help improve job prospects regardless of age.
What are the most commonly searched types of Database Analyst jobs in Georgia? The most popular types of Database Analyst jobs in Georgia are:
What are popular job titles related to Entry Level Database Analyst jobs in Georgia? For Entry Level Database Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Database Analyst jobs in Georgia look for? The top searched job categories for Entry Level Database Analyst jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Database Analyst jobs? Cities in Georgia with the most Entry Level Database Analyst job openings:
Infographic showing various Entry Level Database Analyst job openings in Georgia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $57,829 per year, or $27.8 per hour.
Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

Atlanta, GA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

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.

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