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Data Analyst Data Science Jobs in Colorado (NOW HIRING)

Education • Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field required; Master's degree preferred. Compensation Sand ...

Education · Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field required; Master's degree preferred. Compensation Sand Cherry ...

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Role Summary We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to ...

Data Analyst

Boulder, CO · On-site

$100 - $150/hr

Role Summary We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to ...

New

Data Analyst

Lakewood, CO · On-site

$20.08/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts, buildings and contact information with various systems. Their primary purpose is the information ...

The Data Analyst performs technical efforts including creating and modifying alarm accounts, buildings and contact information with various systems. Their primary purpose is the information ...

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Bachelor's degree in Computer Science, Cyber Security, Information Systems, Data Science, or ...

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Bachelor's degree in Computer Science, Cyber Security, Information Systems, Data Science, or ...

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Bachelor's degree in Computer Science, Cyber Security, Information Systems, Data Science, or ...

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Bachelor's degree in Computer Science, Cyber Security, Information Systems, Data Science, or ...

Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts ...

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

Showing results 41-60

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Colorado?

For Data Analyst Data Science jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Data Analyst Data Science jobs?

Cities in Colorado with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Denver, CO • On-site

$110K/yr

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
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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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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