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Data Analytics Engineer Jobs in Colorado (NOW HIRING)

EchoStar

Data Analytics Manager

Englewood, CO · On-site

$96K - $137K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Align marketing analytics with broader departmental OKRs to ensure all data initiatives contribute ...

Averna

AI Savvy Data Analyst

Denver, CO · On-site +1

... data analytics, hardware manufacturing, quality & reliability engineering, and digital ... transformation . As an AI-savvy Data Analyst, you will generate value-driven insights from fleet ...

Averna

AI Savvy Data Analyst

Denver, CO

... data analytics, hardware manufacturing, quality & reliability engineering, and digital ... transformation . As an AIsavvy Data Analyst, you will generate valuedriven insights from fleetscale ...

Averna

AI Savvy Data Analyst

Denver, CO

... data analytics, hardware manufacturing, quality & reliability engineering, and digital ... transformation . As an AI‑savvy Data Analyst, you will generate value‑driven insights from ...

Apex Systems

Integration/Data Engineer

Denver, CO · Hybrid

The VA EMACS data, analytics, and AI teams accelerate action through data and insights to enhance the experiences of Veterans and their families, caregivers, survivors, and advocates through turning ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Colorado

Data Analytics Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data analytics engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analytics engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Colorado? The most popular types of Data Analytics Engineer jobs in Colorado are:
What are popular job titles related to Data Analytics Engineer jobs in Colorado? For Data Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
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What cities in Colorado are hiring for Data Analytics Engineer jobs? Cities in Colorado with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Data Analytics Manager

Data Analytics Manager

EchoStar

Englewood, CO • On-site

$96K - $137K/yr

Full-time

Medical, Retirement

Posted 13 days ago

EchoStar rating

7.0

Company rating: 7.0 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

51st of 78 rated telecommunications companies

Job description

Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.
Job Duties and Responsibilities
The streaming landscape faces the challenge of fragmented customer data across web, mobile, and living room devices, making a unified view of the subscriber journey difficult to achieve. This role solves that complexity by bridging technical datasets with actionable business strategy to optimize marketing spend and conversion efficiency. You will address the critical need to correlate playback quality and content affinity with long-term retention, transforming raw behavioral signals into executive-level intelligence that drives growth.
What Success Looks Like (Objectives)
  • Deliver a unified view of customer interactions across all streaming platforms using Adobe Analytics to drive integrated business growth
  • Improve conversion rates within the sign-up flow by identifying and resolving UX friction points in both organic and paid marketing channels
  • Reduce churn by establishing clear correlations between playback quality (QoE), viewing behaviors, and long-term customer value
  • Provide senior leadership with high-impact investment recommendations based on synthesized attribution outputs and cross-platform dashboards
  • Leverage AI-driven predictive modeling to forecast subscriber trends and automate anomaly detection within marketing datasets
  • Align marketing analytics with broader departmental OKRs to ensure all data initiatives contribute directly to subscriber scale and profitability

Skills, Experience and Requirements
Core Skills and Competencies (What you'll bring)
  • Advanced expertise in Adobe Analytics and Customer Journey Analytics (CJA) to architect complex data environments
  • Deep proficiency in video telemetry tools like Conviva to evaluate Quality of Experience and viewer engagement
  • Strategic influence and communication skills necessary to align cross-functional stakeholders and senior executives on data-driven goals
  • Analytical problem-solving abilities focused on attribution modeling and marketing channel optimization
  • AI Literacy and the capacity to apply machine learning insights to enhance data interpretation and marketing automation
  • Critical experience leading or mentoring team members and fostering a culture of analytical excellence
  • Critical experience managing end-to-end data strategies for large-scale streaming or subscription-based platforms

Additional Qualifications
  • Hands-on experience with Adobe CJA is highly preferred

Minimum Requirements
  • Minimum Education: Bachelor's Degree in Marketing, Data Science, Business, or a related field
  • Minimum Experience: 8 years of experience in digital analytics
  • Required Technical Skills:
    • Adobe Analytics
    • Conviva or similar video telemetry tools
    • Multi-platform attribution modeling

Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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