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Manager Data Analytics Engineer Jobs in Colorado

Recurly

Analytics Engineer

Broomfield, CO · On-site

$70K - $103K/yr

We're looking for a great data analyst. Not good at SQL - good at analysis. SQL is the tool ... You'll work with raw data ingested by our data engineering team, building and maintaining the ...

Munich Re

Technical Architect - Data, Analytics & AI

Aurora, CO · Hybrid

$64.75 - $83.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Orchard

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

Orchard customers manage the entire experience through a personalized online dashboard, while also ... Take new data sources from raw ingest to production gold-tier dbt models that the rest of the ...

CoorsTek, Inc.

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering ... Ability to manage multiple initiatives, prioritize by business value, work in ambiguity, and travel ...

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Manager Data Analytics Engineer information

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
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 Manager Data Analytics Engineer jobs in Colorado? For Manager Data Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Colorado look for? The top searched job categories for Manager Data Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Manager Data Analytics Engineer jobs? Cities in Colorado with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Colorado as of June 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Analytics Engineer

Analytics Engineer

Recurly

Broomfield, CO • On-site

$70K - $103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

We're looking for a great data analyst. Not good at SQL - good at analysis. SQL is the tool; analytical thinking is the talent. Candidates who can't demonstrate sharp, independent analytical thinking will not advance
THE ROLE
Recurly's Business Analytics team delivers critical insights to internal and external stakeholders - and we need someone sharp to help us do it better. You'll work with raw data ingested by our data engineering team, building and maintaining the models and views that power ad-hoc analysis and dashboard reporting across the business.
This is a grow-from-the-ground-up investment. You'll start by doing great data analysis - clean, well-reasoned, fast - and expand into the full analytics engineering lifecycle over time. It's hands-on and high-visibility: you'll collaborate directly with stakeholders, own your outputs, and be expected to deliver.
We're also an AI-forward team. Recurly provides a generous Anthropic token budget, and we expect this person to use it. You should already be comfortable using LLMs to accelerate your workflow - writing better SQL faster, exploring unfamiliar datasets, drafting documentation. Knowing how to prompt well is now part of the job.
WHO YOU ARE
Above all else, you are a data analyst. Not someone who runs queries - someone who genuinely thinks analytically. You get handed a vague question and you know how to decompose it, find the right data, spot what's wrong with it, and surface an insight that actually matters. That part isn't something we can train. Either you have it or you don't, and we're looking for someone who has it.
Beyond the analytical core: you're sociable, curious, and energetic. You ask good questions, listen well, and can walk a non-technical stakeholder through your findings without losing them. You already use AI tools to work faster and smarter - not because someone told you to, but because you figured out they were useful. You take ownership, communicate proactively, and want to build a real career in this craft.
Requirements
YOU MUST HAVE
  • Innate analytical ability - you see patterns others miss, ask the question behind the question, and know when a number doesn't smell right
  • The instinct to frame a problem correctly before ever touching data, and the discipline to sanity-check your own conclusions
  • Strong SQL - CTEs, window functions, aggregations; fluent enough that the tool never slows down the thinking
  • Foundational knowledge of dimensional data modeling and data warehouse best practices
  • The ability to write and execute data validation tests and actually resolve what you find
  • Customer-facing poise - comfortable collaborating with business stakeholders and translating between technical and non-technical
  • Energy, initiative, and hunger to learn

NICE TO HAVE (WE'LL TEACH THE REST)
  • BigQuery, dbt (CLI in a git-based workflow), or Looker / OMNI experience
  • Python or R for data work
  • Exposure to payments or subscription data
  • Familiarity with git and version control

THE STACK
  • BigQuery - cloud data warehouse
  • dbt - transformation and modeling layer
  • OMNI / Looker - BI and dashboards

WHO YOU AREAbove all else, you are a data analyst. Not someone who runs queries - someone who genuinely thinks analytically. You get handed a vague question and you know how to decompose it, find the right data, spot what's wrong with it, and surface an insight that actually matters. That part isn't something we can train. Either you have it or you don't, and we're looking for someone who has it.
Beyond the analytical core: you're sociable, curious, and energetic. You ask good questions, listen well, and can walk a non-technical stakeholder through your findings without losing them. You already use AI tools to work faster and smarter - not because someone told you to, but because you figured out they were useful. You take ownership, communicate proactively, and want to build a real career in this craft.
Benefits
As a full-time employee, Recurly offers competitive benefits programs, perks and options designed to fit your needs and the needs of your family. We offer medical, dental and vision benefits and a menu from which to choose options that work best for you and eligible dependents. We also offer life insurance, short and long-term disability, hospital indemnity, critical illness coverage, employee accident protection, health savings account (HSA) with company contribution & flexible spending account (FSA) options, employee assistance program, Legal and Pet Insurance.
Compensation range: $70,000 to $103,000 per year
Other perks may include:
401(k) Retirement Plan and company match
Flex Time Off
Company Events
Training/Development
Tuition reimbursement
Commuter benefits
Volunteer opportunities
Recurly is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law. Recurly is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

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