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Data Analytics Apprentice Jobs in Colorado (NOW HIRING)

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 ...

MILITARY DOD SKILLBRIDGE Biomedical Technician

Denver, CO · On-site

$26 - $34.50/hr

... apprenticeships, or internships during the last 180 days of service. SkillBridge connects Service ... data analytics, applications and services, supported by our Edison intelligence platform. We ...

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 Apprentice information

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

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistics, data manipulation, and basic programming, often supported by foundational coursework or a related degree. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret data and share insights clearly. These skills are vital for transforming raw data into actionable information, supporting decision-making, and learning advanced analytics techniques on the job.

What types of projects and tasks can I expect to work on as a data analytics apprentice?

As a Data Analytics Apprentice, you will typically work on a range of projects such as cleaning and organizing datasets, creating reports and visualizations, and conducting basic analyses to uncover trends or patterns. You'll often collaborate with data analysts, engineers, and business teams to support decision-making processes. Expect to use tools like Excel, SQL, or Tableau, and gradually take on more complex assignments as your skills develop. This hands-on experience is designed to build foundational skills and prepare you for more advanced data roles in the future.

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

AspectData Analytics ApprenticeData Analyst
Required CredentialsOften entry-level, some may have a degree or certification in data-related fieldsTypically requires a degree in data science, statistics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentInternship or trainee position, often in a corporate or consulting settingFull-time role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train and evaluate potential future analystsStandard role for analyzing data, creating reports, and supporting decision-making

The main difference is that a Data Analytics Apprentice is an entry-level trainee position designed for learning and development, while a Data Analyst is a full-fledged professional responsible for analyzing data and providing insights. Apprenticeships often serve as a stepping stone toward becoming a Data Analyst.

What does a data analytics apprentice do?

A Data Analytics Apprentice is an entry-level professional who supports data analysis tasks while learning on the job. They assist with collecting, cleaning, and interpreting data to help organizations make informed decisions. Apprentices often work under the supervision of experienced data analysts, using tools like Excel, SQL, and basic data visualization software. Their responsibilities may include creating reports, identifying trends, and helping with data-driven projects as they develop their skills.
What are the most commonly searched types of Data Analytics jobs in Colorado? The most popular types of Data Analytics jobs in Colorado are:
What cities in Colorado are hiring for Data Analytics Apprentice jobs? Cities in Colorado with the most Data Analytics Apprentice job openings:

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Denver, CO • On-site

$110K/yr

Full-time

Re-posted 25 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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