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Apprentice Data Analyst Jobs in Georgia (NOW HIRING)

CoreWeave

Data Center Apprentice Program

Dalton, GA

Investigate hardware and software failures, perform root cause analysis, and help implement ... data center. This apprenticeship is more than an introduction to IT - it's an opportunity to build ...

New

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McKinsey & Company

Data Scientist - FinLab

Atlanta, GA · On-site

You will support the FinLab team as a data scientist to analyze large amounts of data to drive ... Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ...

ICBD

ABA Apprentice - Full-Time

Woodstock, GA · On-site

$15.25 - $19.75/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

ICBD

ABA Apprentice - Full-Time

Warner Robins, GA · On-site

$15.50 - $20/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

Apply Early

ICBD

ABA Apprentice - Full-Time

Warner Robins, GA · On-site

$15.50 - $20/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

ICBD

ABA Apprentice - Full-Time

Warner Robins, GA · On-site

$15.50 - $20/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

ICBD

ABA Apprentice - Full-Time

Woodstock, GA · On-site

$15.25 - $19.75/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

Apply Early

ICBD

ABA Apprentice - Full-Time

Woodstock, GA · On-site

$15.25 - $19.75/hr

Analyze and graph learner data as directed by the BCBA * Create or update data collection system ... ABA Apprentice is still required to have between 15 to 20 hours per week of direct RBT service.

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Apprentice Data Analyst information

What does a data analyst apprentice do?

A data analyst apprentice assists with collecting, cleaning, and analyzing data to support business decisions. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.

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

To thrive as an Apprentice Data Analyst, you need foundational skills in mathematics, data interpretation, and a basic understanding of statistics, often supported by coursework or relevant certifications. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret findings and present insights clearly. These skills are crucial for transforming raw data into actionable information that supports business decision-making.

Is 30 too late for data science?

For an Apprentice Data Analyst, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, often through online courses or certifications. Age is less important than skill development and practical experience in entering data-related roles.

What are apprentice data analysts?

Apprentice data analysts are entry-level professionals who assist in collecting, processing, and analyzing data under the supervision of more experienced analysts. They typically work as part of a training program or apprenticeship to gain hands-on experience in data analysis, using tools like Excel, SQL, or Python. Their responsibilities may include preparing reports, visualizing data, and supporting business decision-making, all while learning essential data skills on the job.

Is 27 too old for an apprenticeship?

There is no age limit for becoming an apprentice data analyst, and many programs welcome mature candidates. Age should not be a barrier if you have the interest and skills, and some employers value diverse experiences that older apprentices bring. Focus on developing relevant skills like data analysis tools and certifications to enhance your prospects.

What are some common challenges faced by Apprentice Data Analysts during their first few months on the job?

Apprentice Data Analysts often face challenges such as getting familiar with new data tools and software, understanding the organization's specific data processes, and learning how to clean and interpret large datasets. Additionally, adapting to a fast-paced environment where priorities can shift quickly can be challenging. Close collaboration with senior analysts and proactively seeking feedback are essential for overcoming these hurdles and building confidence in your analytical skills.

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

AspectApprentice Data AnalystJunior Data Analyst
Required CredentialsBasic knowledge, often in training or courseworkSome experience or entry-level certifications
Work EnvironmentTraining programs, supervised settingsEntry-level roles in teams, more independent tasks
Employer & Industry UsageInternships, apprenticeships, entry-level programsFull-time entry-level positions in various industries
Comparison Search IntentLearning about entry-level or training rolesSeeking job opportunities or role clarification

The main difference between an Apprentice Data Analyst and a Junior Data Analyst lies in experience and training. Apprentices are typically in training programs or internships, gaining foundational skills under supervision. Junior Data Analysts are usually more experienced, performing entry-level tasks independently. Both roles serve as stepping stones into the data analysis field, but apprentices focus on learning, while juniors focus on applying skills in real-world projects.

Can I start data analyst with no experience?

Starting as a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with no prior experience if they demonstrate strong analytical skills and a willingness to learn. Internships, online courses, and certifications can help build relevant skills and improve job prospects for beginners.
What are the most commonly searched types of Data Analyst jobs in Georgia? The most popular types of Data Analyst jobs in Georgia are:
What are popular job titles related to Apprentice Data Analyst jobs in Georgia? For Apprentice Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Apprentice Data Analyst jobs in Georgia look for? The top searched job categories for Apprentice Data Analyst jobs in Georgia are:
Apprentice Data Analyst jobs near you
Infographic showing various Apprentice Data Analyst job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst - Strategy and Corporate Finance - McKinsey Value Intelligence Platform

Data Analyst - Strategy and Corporate Finance - McKinsey Value Intelligence Platform

McKinsey & Company

Atlanta, GA • On-site

Full-time

Posted 5 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 58 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will support the delivery of longer-term projects and shorter-term needs for data analysis from our corporate finance experts and client delivery teams.
This may include but is not limited to: experimental testing with new large language models (LLMs), structuring and implementing proof of concepts, enhancing existing functionality through new analytical approaches, and helping design end-to-end solutions alongside our engineers. You will be involved in analyzing large and complex data sets to uncover patterns, trends, and actionable insights using generative artificial intelligence techniques. You will develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, tailored to address client-specific challenges.
Additionally, you may design, test, and deploy scalable AI solutions in production environments. Collaboration with cross-functional teams, such as consultants and industry experts, is essential to understand client needs and deliver impactful AI-driven solutions. Effective communication of findings and insights to both technical and non-technical stakeholders is a key aspect of the role. Staying current with advancements in AI, machine learning, and deep learning, and applying these innovations to client projects and product development initiatives, is expected. Furthermore, you will contribute to the development and maintenance of AI infrastructure and tools to support ongoing projects and initiatives.
You'll be based in Atlanta, Boston or Dallas and will be working with our Strategy and Corporate Finance practice. You will be a part of the McKinsey Value Intelligence Platform, which is a cornerstone data and insights platform for the firm, supporting client delivery teams and clients with expert insights on companies and industries.
You will work closely with other data scientists, engineers, designers, and product managers and report directly to the Asset Leader within the practice. You will be responsible for performing domain research, data extraction, data transformation, data analytics and/or advanced analytics for asset design and development. You will support the asset team in advancing the team's product offerings by improving actionable insights via new AI capabilities to better serve our client delivery teams.
You will foster strong partnerships and collaborate regularly with the product and engineering team, practice experts, and firm stakeholders (e.g., Risk, Legal). You will collaborate closely with these teams to align on strategic direction and ensure a coordinated approach.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's or advanced professional degree in data analytics, statistics or related field required
  • 1+ years of professional work experience in a data science or analytics role; preference for experience in finance or related field
  • Exceptional problem-solving and analytical skills with ability to break down complex problems, design testing approaches, conduct quantitative analysis at scale, and drive end-to-end solutions
  • Comfort with ambiguous, ever-changing situations
  • Strong sense of ownership and entrepreneurial mindset; demonstrated success delivering outcomes in cross-functional teams
  • Professional, impartial, and independent attitude with a high degree of integrity
  • Comfortable with ambiguity in a work-setting, knowing how to address and manage unpredictable outcomes
  • Experience with AI and machine learning frameworks and libraries would be nice to have (e.g., TensorFlow, PyTorch)
  • Good communication skills with proven ability to communicate analytical and technical concepts effectively with managers and senior leaders, and to both technical and non-technical colleagues

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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