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Data Analytics Apprenticeship Jobs in Colorado (NOW HIRING)

Material Data Steward

Denver, CO · On-site

$75K - $90K/yr

Demonstrated analytical and problem-solving skills with exceptional attention to detail. * Strong ... RK University & RK Apprenticeship Program Applications are accepted on an ongoing basis. Employment ...

New

What You'll Need: • Training in a Technical discipline having served an apprenticeship or ... to analyze possible solutions using technical experience to apply appropriate judgment and ...

Compliance Analyst I

Aurora, CO · On-site

$60K - $80K/yr

The Compliance Specialist supports apprenticeship and compliance efforts on solar construction ... Experience using multiple technology platforms to track & manage data and providing accurate ...

Payroll Supervisor

Denver, CO · On-site

$97K - $120K/yr

... apprentice classifications, and terminations. * Ensure payroll records, employee data, system ... Generate payroll reports, analytics, and reconciliations to support Finance, HR, and Operations ...

Payroll Supervisor

Denver, CO · On-site

$97K - $120K/yr

... apprentice classifications, and terminations. * Ensure payroll records, employee data, system ... Generate payroll reports, analytics, and reconciliations to support Finance, HR, and Operations ...

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Data Analytics Apprenticeship information

What is a data analytics apprenticeship?

A Data Analytics Apprenticeship is a structured, on-the-job training program that teaches individuals the skills and knowledge needed to become a data analyst. Apprentices work alongside experienced professionals, gaining hands-on experience with data collection, analysis, and visualization tools. These programs often combine coursework with real-world projects, allowing apprentices to learn industry-relevant techniques and software such as Excel, SQL, and Python. Upon completion, apprentices are prepared for entry-level data analytics roles and may have the opportunity to earn industry-recognized certifications.

What types of projects or tasks can I expect to work on during a data analytics apprenticeship?

During a Data Analytics Apprenticeship, you can expect to work on a variety of hands-on projects such as data cleaning, building dashboards, analyzing trends, and generating reports to support business decision-making. Apprentices often collaborate with teams across departments, such as marketing or operations, to gather requirements and deliver actionable insights. You'll also use tools like Excel, SQL, and visualization platforms like Tableau or Power BI, gradually taking on more complex assignments as your skills progress. This role provides valuable exposure to real-world data challenges and sets a strong foundation for a career in analytics.

How to get into a data analytics apprenticeship with no experience?

To enter a data analytics apprenticeship with no experience, focus on developing foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI. Completing online courses, earning relevant certifications, and gaining basic knowledge of statistics can improve your chances; some programs also accept candidates with strong problem-solving abilities and a willingness to learn.

What is the difference between Data Analytics Apprenticeship vs Data Analyst?

AspectData Analytics ApprenticeshipData Analyst
Required CredentialsOften includes certifications, training programs, or related courseworkBachelor's degree in data-related fields; certifications like Google Data Analytics are common
Work EnvironmentEntry-level, training-focused, often in corporate or tech settingsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train new talent; common in tech and consulting firmsStandard role across industries requiring data analysis skills

The Data Analytics Apprenticeship is a training program designed to develop foundational skills, often with certifications and mentorship, while a Data Analyst is a full-time professional responsible for analyzing data to inform business decisions. The apprenticeship prepares individuals for the analyst role, which typically requires more experience and responsibility.

What are the key skills and qualifications needed to thrive as a data analytics apprentice, and why are they important?

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistical analysis, data visualization, and foundational programming skills, often supported by a relevant degree or coursework in mathematics, statistics, or computer science. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau or Power BI is typically expected, along with any introductory certifications in data analytics. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills that help you interpret and present data insights clearly. These competencies ensure you can support data-driven decision-making and add value to your team from the early stages of your career.
What cities in Colorado are hiring for Data Analytics Apprenticeship jobs? Cities in Colorado with the most Data Analytics Apprenticeship job openings:
Infographic showing various Data Analytics Apprenticeship job openings in Colorado as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Temporary. Highlights an 98% In-person, and 2% Remote job distribution.

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Denver, CO • On-site

$110K/yr

Full-time

Re-posted 28 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
As an OptimusAI Senior Data Science Analyst, you will help leading companies across the Energy and Materials sector unlock their full productivity potential using AI.
Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. You will be working side-by-side with the client's process engineers and analytics specialists and will be communicating your work to executive audiences.
Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs. You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
Along the way, you will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts. You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment. You can seize the opportunity to travel to client sites, locally and around the world.
Please submit a cover letter detailing why you are the perfect fit for our team and how you can contribute to our mission!
You will be based in our Houston or Denver office as part of McKinsey's manufacturing AI solution (OptimusAI), which sits at the intersection of three practices.
Global Energy and Materials advises production and investor companies across chemicals & agriculture, paper & packaging, metals & mining, oil & gas, and power generation on strategic, operational, and growth issues.
QuantumBlack, AI by McKinsey, is the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.
Finally, the Operations Practice which assists our clients in solving complex operational challenges by developing and implementing operational strategies, initiatives, and solutions for their most critical problems, connecting boardroom strategies to the shop floor operators.
At the intersection of these groups, OptimusAI is a team of ~10 expert consultants, data scientists and engineers, focused on improving processing plant productivity through data analytics.
We develop real-time AI advisory systems to support decision making in the plant control room, we assess and optimize process control systems, and we unlock plant bottlenecks through data-driven process changes.
OptimusAI supports a global community of consultants by developing an innovative machine learning toolkit and codifying the approach to deliver significant and lasting client impact.
There is flexibility to hire at the Senior Data Science Analyst or Data Science Specialist level, depending on your experience. Salary range $110,000-$110,000
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
  • Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
  • 3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
  • Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
  • Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
  • Experience working with complex datasets, including time series data, company financial statements, and/or operational market benchmarks
  • Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
  • Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
  • Proficient in rational decision making based on data, facts, and logical reasoning.
  • Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
  • Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)

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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