Analytics Engineer

Jobtailor; Broomfield (CO); On-site; USD 70,000 - 103,000; Full time

Benefits offered by this job

401(k) Retirement Plan and company match

Flex Time Off

Company Events

Training/Development

Tuition reimbursement

Commuter benefits

Volunteer opportunities

Job summary

Recurly is looking for a dedicated Data Analyst in Broomfield, Colorado, to join the Business Analytics team. The ideal candidate thrives on analyzing data to deliver insights and will work closely with various stakeholders. Responsibilities include building data models, maintaining analysis tools, and leveraging AI resources for efficient workflow.

Successful applicants should have a strong analytical background, excellent SQL skills, and the ability to communicate findings effectively. Recurly offers competitive compensation and a comprehensive benefits package, aimed to support the well-being of employees and their families.

Qualifications

• Strong analytical skills to find insights from complex data.
• Fluent in SQL for data manipulation and analysis.
• Experience with data validation and troubleshooting.

Responsibilities

• Analyze raw data to deliver insights to stakeholders.
• Collaborate with teams on analytics projects.
• Utilize AI tools to enhance productivity and analysis.

Skills

Analytical thinking

SQL proficiency

Dimensional data modeling

Data validation

Customer-facing communication

Tools

BigQuery

dbt

Looker/OMNI

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.

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

Benefits and Compensation

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.