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Apprentice Data Analyst Jobs in Grayson, GA (NOW HIRING)

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 ...

Advanced Analytics & ML Integration: Drive the integration of advanced data science workflows ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

Advanced Analytics & ML Integration: Drive the integration of advanced data science workflows ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

Knowledge Graph Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ... Excellent problem-solving skills and the ability to analyze and resolve complex data engineering ...

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Apprentice Data Analyst information

See Grayson, GA salary details

$12

$30

$57

How much do apprentice data analyst jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for apprentice data analyst in Grayson, GA is $30.55, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $34.13 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be an apprentice data analyst?

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.

What is an apprentice data analyst?

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.

What are 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.

What are the most commonly searched types of Data Analyst jobs in Grayson, GA? The most popular types of Data Analyst jobs in Grayson, GA are:
Infographic showing various Apprentice Data Analyst job openings in Grayson, GA as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $63,552 per year, or $30.6 per hour.

Capabilities & Insights Analytics Senior Analyst - Healthcare

McKinsey & Company

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Re-posted 13 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 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 be part of Social, Healthcare and Public Entities (SHaPE) Healthcare Access, Quality & Outcomes (HALO) domain. As a member of Capabilities & Insights team within HALO, you will deliver distinctive client impact through assets and data analyses by leveraging valuable and complex databases such as VRDC.
In this role, you will have opportunities for high levels of interaction with consultants and the rest of the knowledge team. The SHaPE practice is one of 10 industry practices within the firm and has a mission of measurably improving individuals' lives, livelihoods and health, creating safer and more just communities around the world. Our practice is organized around domains that house intellectual property and expert practitioners, Centers of Excellence (CoE), and cross-functional special teams working to bring a distinctive approach to our clients in practice priority areas like digital and analytics.
You will leverage a solid understanding of data analytics, analytical problem solving, and interest in healthcare innovation provide valuable insights to our consulting teams and clients. In this role, you will work alongside senior knowledge professionals on larger client projects, client development and internal knowledge initiatives. By collecting and analyzing data and information found in databases such as VRDC (CMS Virtual Research Data Center), you will assemble analytical analyses and counsel consultants and clients on the scope of the business and economic trends for solving client problems at hand.
You will identify the key issues for a client's problem or need and determine the most appropriate solution, while effectively balancing quality, availability, timeliness, and cost factors. You'll likely perform a variety of analyses such as claims analyses, trend identification, industry profiling, and growth projections and opportunity scanning to add value to problem-solving discussions. You will also participate in, and eventually lead, internal knowledge development and capability-building initiatives. Lasty, you'll use advanced analytics tools to prepare and analyze large datasets to distill insights.
SHaPE's HALO domain fosters innovation driven by advanced analytics, user experience design thinking, problem solving, and new product development. We are a community of entrepreneurs within McKinsey dedicated to using technology to accelerate meaningful impact for our clients. Through self-service access to analytics and data, software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey. You are joining a firm whose culture is distinctive and inclusive. We will accelerate your development as a leader to create positive, enduring change in the world.
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
  • University degree; preferably in business, finance, or economics
  • 2+ years of analytics experience, ideally within healthcare or adjacent industry
  • Interest and/or experience with healthcare is strongly preferred
  • Strong modelling and analytical Excel skills
  • Strong knowledge of programming languages, with a focus on machine learning and advanced analytics (such as R, Python, PySpark and Scala)
  • Experience working with large data sets and relational databases
  • Ability to translate business requirements and excellent time management skills (manage estimated workload according to scope)
  • Excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly
  • Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  • Solid understanding of economic, financial, and general business concepts and terminology

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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