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How much do data analyst apprenticeship jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst apprenticeship in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data analyst apprenticeship?

A Data Analyst Apprenticeship is a structured program that combines on-the-job training with learning to develop analytical skills. Apprentices assist experienced analysts in collecting, organizing, and interpreting data to help businesses make informed decisions. They typically use tools like Excel, SQL, and Python to analyze datasets. The apprenticeship provides hands-on experience while often leading to industry-recognized qualifications. It's an excellent pathway for individuals looking to start a career in data analysis without prior experience.

What opportunities for career growth are available after completing a data analyst apprenticeship?

Completing a Data Analyst Apprenticeship can open several career paths, including progressing to junior or full data analyst roles, specializing in fields such as business intelligence or data engineering, or pursuing further education and certifications. Many employers value apprenticeships as strong foundations and may offer permanent positions or internal advancement opportunities to successful apprentices. Additionally, you’ll build a professional network and gain hands-on experience that can make your resume stand out for future roles. Ongoing learning and exposure to various projects during your apprenticeship are key drivers for long-term career development in data analytics.

What are the key skills and qualifications needed for a data analyst apprenticeship?

To thrive as a Data Analyst Apprentice, you need a fundamental understanding of statistics, data interpretation, and problem-solving, usually supported by coursework in mathematics, computer science, or related fields. Familiarity with data analysis tools such as Excel, SQL, and visualization software like Tableau or Power BI, along with a willingness to learn relevant certifications, is common. Strong communication, curiosity, and attention to detail help you ask the right questions and present findings clearly. These abilities are crucial for accurately extracting insights, supporting business decisions, and succeeding in a collaborative, fast-paced environment.

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Data Analyst Apprenticeship jobs near you
Infographic showing various Data Analyst Apprenticeship job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Science Analyst - Growth, Marketing & Sales

McKinsey & Company

Atlanta, GA • On-site

Full-time

Re-posted 9 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 collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation.
You will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients' marketing practices.
Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You'll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions.
You will be a core member of the consulting team, conducting deep analytics on a broad set of client and external data and playing a lead role in team problem solving through findings and insights from that analysis.
You'll also lead and support the development of knowledge for our firm's analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact on the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data.
You'll be working in one of our offices in North America within our Growth, Marketing & Sales practice.
The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. Our clients benefit from our experience in core areas of marketing such as branding, customer insights, marketing ROI, digital marketing, CLM, pricing, and sales and channel management. Our Practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting. Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations.
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
  • Undergraduate or advanced degree in a quantitative discipline (i.e. statistics, mathematics, econometrics, operations research)
  • 1+ years of hands-on work experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context; experience in B2B or B2C environments also preferred
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)
  • Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel)
  • Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
  • Advanced programming skills in at least one of Python, R, Java
  • Experience linking multiple data platforms (social media, open, etc) and with data visualization tools (e.g., Tableau)
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Ability to independently own database development and decisions, balancing demands and deadlines
  • Strong people skills, team-orientation, and a professional attitude
  • Distinctive communications skills and the ability to communicate technical content to a non-technical audience

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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