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Senior Analytics Engineer Jobs in Colorado (NOW HIRING)

Ursa Major

Senior Fluids Analyst

Berthoud, CO · On-site

$112K - $140K/yr

Role Overview As a Senior Fluids Analyst, you will be responsible for performing high-fidelity ... Identify potential design improvements and collaborate with other engineering teams to develop our ...

Leapspace

Senior Thermal Analyst

Broomfield, CO · On-site

$135 - $165/hr

As our Senior Thermal Analysis Engineer, you will play a pivotal role in bringing our rocket systems to life. This role will focus on taking parts from concept to production with detailed component ...

New

IPL (Indiana)

Senior Analyst, M&A

Louisville, CO · On-site

$89K - $111K/yr

It will broaden the Sr Analyst's network to a range of developers selling projects in the U.S. and provide the Associate exposure to AES Clean Energy's investment opportunities that enable it to ...

Industrious Ventures

Senior Fluids Analyst

Berthoud, CO · On-site

$112 - $140/hr

Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field. * 5+ years of experience in fluids analysis of aerospace components. * Experience in Computational Fluid ...

New

Pwc

Data Engineer - Senior Associate

Denver, CO · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Colorado

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 are popular job titles related to Senior Analytics Engineer jobs in Colorado?

For Senior Analytics Engineer jobs in Colorado, the most frequently searched job titles 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:

Senior Analytics Engineer jobs near you
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.

Sr. Engineer, Machine Learning/Artificial Intelligence

Starz

Greenwood Village, CO • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Job Description
STARZ is seeking a technically deep and analytically driven Senior Engineer, AI/ML to find the signals that matter from our data. This role is for someone who thrives on navigating large, complex datasets, applying AI, machine learning, and advanced analytics to surface the patterns, anomalies, and insights that engineering teams need to act on. You will work across STARZ's Snowflake data warehouse, applying platform intelligence and streaming analytics expertise across video platform playback telemetry, customer care interactions, device & authentication events, and many other domains, as the analytical engineer who converts data into competitive advantage.
Essential Duties and Responsibilities:
  • Proactively explore a wide and growing range of technology data domains including video operational playback and workflows, customer care interactions, device lifecycle, and authentication events surfacing hidden signals that go well beyond standard dashboards
  • Continuously audit the STARZ technology ecosystem for new data sources from network infrastructure and CDN telemetry to workforce and operational systems, evaluating their potential to enrich technology insights and driving their onboarding
  • Own a repeatable signals framework, defining which KPIs and metrics to monitor, at what thresholds, and why they matter
  • Apply machine learning and statistical techniques to detect emerging issues, degradation patterns, and risk trends before they appear in operational metrics
  • Define platform health indicators and alert thresholds ensuring signals are routed to the right teams at the right time with clear escalation paths
  • Apply ML models including anomaly detection, classification, clustering, and time-series forecasting as analytical tools to uncover insights
  • Leverage generative AI and LLMs to accelerate insight generation, automate summarization of logs and telemetry, and augment root-cause analysis across technology domains
  • Explore and apply emerging AI capabilities to enhance the speed, depth, and accessibility of insights
  • Apply AI responsibly by implementing guardrails, grounding, and output validation to ensure insights generated are trustworthy and actionable
  • Serve as a strategic analytical partner to Engineering, Customer Care, Product/UX, and Executives embedding technology signals into planning, incident response, and prioritization
  • Establish a signals review cadence with technology leadership and mentor junior analysts to build a broader culture of signal-driven thinking

Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field
  • 5-8+ years of hands-on experience in data science, analytics engineering, or a closely related technical discipline
  • Strong background in SQL and large-scale cloud data warehouses; Snowflake experience preferred
  • Hands-on experience across the ML lifecycle: feature engineering, data quality, anomaly detection, classification, clustering, and time-series forecasting applied to operational or telemetry data
  • Familiarity with generative AI, LLMs, and emerging AI techniques (Agents, RAG, Prompt Engineering) in applied analytical contexts
  • Demonstrated ability to identify signals in noisy operational or telemetry datasets, distinguishing meaningful patterns from statistical noise
  • Experience in media, streaming, or digital content businesses strongly preferred

Technology & Domain Knowledge:
  • Data Platforms & Analytics: Snowflake, transformation frameworks, advanced SQL, BI tooling
  • ML Frameworks & Libraries: scikit-learn, TensorFlow, Keras, or equivalent applied to classification, clustering, anomaly detection, and time-series forecasting on operational and telemetry data
  • AI & Generative AI: experience with AI Agents, Prompt Engineering, RAG, MCP, AI safety and security practices (guardrails, grounding, output validation)
  • Streaming & Operational Data: Video streaming telemetry (playback events, error taxonomies, CDN logs, QoE/QoS), Kafka / Kinesis or equivalent, pipeline orchestration frameworks, AWS (S3, Lambda, CloudWatch)
  • Statistical Methods: change-point detection, statistical hypothesis testing, exploratory data analysis

Compensation:
$150,000 - $180,000
About STARZ
STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning "We're All Adults Here." Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.
Our Benefits
  • Full Coverage - Medical, Vision, and Dental
  • Annual discretionary bonus and merit increase
  • Work/Life Balance - generous sick days, vacation days, holidays, and wellness days
  • 401(k) company matching
  • Tuition Reimbursement (up to graduate degree)

EEO Statement
Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.
Starz logo

About Starz

Sourced by ZipRecruiter

Industry

Arts, entertainment, and recreation

Company size

501 - 1,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1994

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