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Senior Analytics Engineer Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models ... Model, structure, and optimize data for use by analysts, developers, researchers, and other ...

Senior Ballistics Analyst

Berthoud, CO · On-site

$107K - $134K/yr

As a Senior Ballistician, you will provide technical analysis results, inputs to design ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field * 4+ years ...

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Showing results 21-40

Senior Analytics Engineer information

See Colorado salary details

$62.6K

$133.1K

$193K

How much do senior analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior analytics engineer in Colorado is $133,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $150,900.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Analytics Engineer jobs in Colorado?

The most popular types of Analytics Engineer jobs in Colorado are:

What job categories do people searching Senior Analytics Engineer jobs in Colorado look for?

The top searched job categories for Senior Analytics Engineer jobs in Colorado are:

What cities in Colorado are hiring for Senior Analytics Engineer jobs?

Cities in Colorado with the most Senior Analytics Engineer job openings:

Infographic showing various Senior Analytics Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $133,077 per year, or $64 per hour.

Senior Energy Market Analyst - Natural Gas

East Daley Analytics

Greenwood Village, CO • On-site

$85K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Job description

Description:

We are using Predictive Index in our hiring practices, please use this link to take the two PI assessments:
Click to take assessments


East Daley Analytics is a fast-paced, leading provider of North American energy infrastructure and commodity market insights, offering data-driven solutions to help clients navigate investment decisions, M&A transactions, and financial market opportunities.


Our Mission: At East Daley, we move the market. We deliver insights that shape real decisions for the most influential leaders in energy and finance and we do it with speed, rigor, and conviction. We’re building the next generation of energy analytics in a culture that values transparency, innovation, and a true play-to-win mindset. If you join East Daley, you won’t just support the future you’ll help create it, alongside a team that works hard, holds a high bar, and genuinely enjoys winning together.


We are looking for an experienced, disciplined, and detail-oriented analyst who thrives on independent work and critical thinking. This role requires both technical depth and creative problem-solving to navigate complex systems and abstract concepts. Success depends on the ability to balance speed and precision – knowing when to move fast and when to ensure accuracy, even in challenging situations.


Role Responsibilities:

· Analyze Natural Gas volumes, production, prices, contract data, and flow dynamics

· Prepare monthly reports detailing regional supply & demand dynamics

· Create unique and insightful data visualizations for complex systems

· Communicate both technical and non-technical information to external and internal clients

· Support senior analysts in product development and maintenance

· Develop price hub forecasts and methodologies

· Develop new products and tools for data analysis and manipulation


Compensation:

· Salary range is $85,000 - $100,000 plus bonus opportunities

· This is a full-time, exempt position based in Greenwood Village, Colorado, and reports to Natural Gas Team Lead


Benefits:

· Medical (with multiple plan options), Dental, and Vision Coverage with Company contributions

· 401K with a 3% Company contribution

· Flexible and Health Savings Account Options with Company contribution

· EAP and Wellness Program

· Life and Accidental Death, Short- and Long-Term Disability Coverage

· Unique opportunity for rapid development in energy markets, working directly with senior analysts to build next-generation Natural Gas analytic products

· Meaningful ownership of projects with real-world application; contributing directly to client-facing research and market insights

· Exposure to live energy infrastructure data, modeling, and analytics used by institutional investors and industry participants

· Hands-on learning and professional development in a fast-paced, collaborative environment with direct mentorship from experienced market professionals

· Opportunity to build technical, analytical, and industry knowledge within the oil, gas, NGL, and financial sectors

Requirements:

Minimum Qualifications:

· Two years of experience or familiarity with natural gas markets, including:

o Regional flow dynamics, including flows and pipeline informational postings

o Supply and demand fundamentals, including basis prices and regional hub dynamics

o Lower 48 infrastructure development

o Recent market trends

o Familiarity with FERC and DOE filings and regulations

· Bachelor’s Degree required: Technical/quantitative fields strongly preferred (Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering or related)

· Strong critical thinking skills and attention to detail, with the ability to break down complex problems into tactical actions

· Strong ownership mentality: able to work in ambiguous situations and propose solutions

· Ability to learn quickly, prioritize, and adapt to new assignments in a fast-paced environment

· Introductory experience with SQL or relational databases

· Introductory experience with Python or similar programming languages

· Proficiency with the Microsoft office suite, including Excel and PowerPoint

· Strong written and verbal communication skills


Preferred Qualifications:

· Three to five years of experience with natural gas markets, including:

o Regional flow dynamics, including flows and pipeline informational postings

o Supply and demand fundamentals, including basis prices and regional hub dynamics

o Lower 48 infrastructure development

o Recent market trends

o Familiarity with FERC and DOE filings and regulations

o Supply and demand model creation

o Price hub forecasting

o Production modeling

· Master’s of Science in Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering, or related field

· Demonstrated ability to work with large datasets, automate repetitive workflows, and build clean, reliable systems.

· Experience in client-facing roles presenting analytical findings, including regular discussions on market fundamental and dynamics

· Advanced experience with Python and SQL

· Advanced experience with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Plotly, Tableau)

· Strong proficiency in MS Excel (automation, VBA, Power Query)

· Experience with Machine Learning methodology



Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


East Daley Analytics is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.