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Apprentice Data Analyst information

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How much do apprentice data analyst jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for apprentice data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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.

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 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.

What does a data analyst apprentice do?

A data analyst apprentice assists in collecting, cleaning, and analyzing data to support business decision-making. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision. The role typically involves developing analytical skills and understanding data workflows in a professional environment.

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.

More about Apprentice Data Analyst jobs
What cities are hiring for Apprentice Data Analyst jobs? Cities with the most Apprentice Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Apprentice Data Analyst jobs? States with the most job openings for Apprentice Data Analyst jobs include:
Infographic showing various Apprentice Data Analyst job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Senior Data Science Analyst - Growth, Marketing & Sales

Senior Data Science Analyst - Growth, Marketing & Sales

McKinsey & Company

Newark, NJ

$90.30K - $112.30K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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 57 rated business consultants


Job description

Analytics Senior Data Science Analyst - Growth, Marketing & Sales

Job ID: 94346

  • Atlanta
  • Boston
  • Chicago
  • Dallas
  • Denver
  • Miami
  • New Jersey
  • New York City
  • San Francisco
  • Seattle
Apply NowApply Later 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 state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. As a core member of the consulting team, you'll conduct deep analytics on a broad set of client and external data and play 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)
  • 2+ 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
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)
  • Experience in B2B or B2C environments also preferred
  • 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
  • Ability to travel up to 75%
  • Strong people skills, team-orientation, and a professional attitude
  • Distinctive communications skills and ability to communicate technical content in an easy-to-understand way
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. Industries
  • High Tech
Capabilities
  • Marketing & Sales
Apply NowApply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.


Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $125,000 - $130,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.


Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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