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Analytics Implementation Engineer Jobs in Colorado

.Net Developer

Denver, CO · On-site

$49.75 - $65.50/hr

Must be based in Colorado - its Remote work Creates and designs new software by analyzing, testing, assessing and implementing programming applications. Supports and installs applications and ...

Senior Controls Engineer

Denver, CO

$99K - $131K/yr

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... analysis. * Implement automation solutions to improve production efficiency and reduce costs.

Senior Controls Engineer

Denver, CO · On-site

$99K - $131K/yr

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... analysis. * Implement automation solutions to improve production efficiency and reduce costs.

Controls Engineer

Denver, CO · On-site

$85K - $111K/yr

Interpret engineered drawings and specifications to guide design, implementation, and field activities. * Analyze technical data and problems, evaluate options, and identify optimal solutions for ...

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Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable ... Collaborate with data scientists to implement and deploy machine learning models and analytical ...

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Analytics Implementation Engineer information

See Colorado salary details

$28

$54

$84

How much do analytics implementation engineer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for analytics implementation engineer in Colorado is $54.06, according to ZipRecruiter salary data. Most workers in this role earn between $40.43 and $64.18 per hour, depending on experience, location, and employer.

What is an Analytics Implementation Engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

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

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What are some common challenges faced by Analytics Implementation Engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.
What are popular job titles related to Analytics Implementation Engineer jobs in Colorado? For Analytics Implementation Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Analytics Implementation Engineer jobs in Colorado look for? The top searched job categories for Analytics Implementation Engineer jobs in Colorado are:
What cities in Colorado are hiring for Analytics Implementation Engineer jobs? Cities in Colorado with the most Analytics Implementation Engineer job openings:
Expert Algorithm Engineer (5273) (Broomfield, CO)

Expert Algorithm Engineer (5273) (Broomfield, CO)

Outside Analytics

Broomfield, CO

$80K - $108K/yr

Other

Posted 28 days ago


Job description

Outside Analytics has recently become a proud subsidiary of SMX, marking an exciting collaboration that enhances our collective capabilities to deliver cutting-edge digital transformation solutions. Are you interested in the next generation of Space Force Remote Sensing capabilities? At Outside Analytics we're on the ground floor of helping across the future remote sensing ecosystem across all orbital regimes (LEO, MEO, HEO, and GEO)! We build, integrate, and operationally support our customer's emerging space-ground systems to include real-time data processing frameworks, sensor data processing, and data visualization. We are teamed with the most passionate companies in industry, dedicated to bringing best-of-breed capabilities to address our customers most pressing needs.
 
The remote sensing world is expanding and we're building our team to grow with it. We have an immediate opportunity for a highly skilled Algorithm Developer and State Estimation Engineer who is excited to apply their talents to our customers' challenging needs and who will thrive in a collaborative environment. This position will generally support a combination of direct customer programs as well as internal research and development efforts. The ideal candidate will have a strong background in signal processing, sensor data fusion, and filtering techniques. Experience with real-time embedded systems, C++/Python implementations, and Department of War (DoW) projects is highly desirable.
 
Position is Hybrid - ~3 days a week onsite in Broomfield, CO (schedule may flex depending on customer needs). Infrequent travel to customer sites may be required.

Essential Duties & Responsibilities

  • Design, develop and implement guidance, navigation, and control algorithms for various remote sensing applications, including kinematic tracking, data fusion.
  • Design, develop, and implement state estimation algorithms including Kalman Filters, Extended Kalman Filters (EKF), and Unscented Kalman Filters (UKF)
  • Develop sensor fusion algorithms to integrate data from multiple sensors of varying phenomena Analyze observability, stability, and convergence properties of estimation algorithms 
  • Design and develop tools and simulations for data generation and algorithm development
  • Participate in technical discovery to understand and translate customer desires and requirements
  • Work closely with software and systems engineering teams using an Agile development process
  • Work with senior systems engineers to discover requirements and shape program execution kickoff
  • Ability to leverage technical expertise to generate a Basis of Estimate (BOE) for a scope of work
  • Create technical documentation and help refine how the organization communicates its technical capabilities to potential customers

Required Skills & Experience 

  • This position requires the ability to obtain a US DoW Secret Clearance. Due to the clearance requirement, U.S. Citizenship is required
  • BS or advanced degree in Computer Science, Mathematics, Physics, Engineering, or similar relevant field
  • 10+ years of experience with relevant application design and development
  • Strong understanding of estimation theory, including ABG Filter, Kalman filter, Madgwick filter, Bayesian estimation
  • Strong understanding of 6 DoF concepts and frame transformations
  • Expertise in sensor fusion and multi-sensor integration techniques
  • Ability to identify, research, and implement sensor data processing and tracking algorithms to meet customer needs.
  • Proficiency in Python
  • Ability to clearly communicate with development team members via verbal and written methods. 

Desired Skills & Experience 

  • Interim DoW Secret clearance or higher is preferred
  • Proficiency in C++ for algorithm implementation 
  • Experience with real time processing and embedded systems
  • Experience with FPGA development and deployment
  • General knowledge of Systems Engineering practices, Product Management, and Agile development methodologies

Application Deadline:  July 13, 2026

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