Senior Analytics Engineer @Optro
Data and Analytics
Salary $129,600 – $178..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] Senior Analytics Engineer @Optro

YDay - Optro is hiring a remote Senior Analytics Engineer. πŸ’Έ Salary: $129,600 – $178,200 πŸ“Location: USA

Role Description

Our commercial strategy is only as strong as the data behind it. As a member of the Commercial Strategy & Analytics team, you'll build the data models that power how we measure, understand, and grow our business.

  • Turn data from our revenue systems into trusted, well-documented models that match how the business defines metrics like ARR, bookings, and pipeline.
  • Document how to report on metrics, ensuring consistency across teams.
  • Build models to identify growth opportunities, including upsell and whitespace potential across our account base, ICP fit, and account scoring.

This is a senior, hands-on individual contributor role for someone who leads like an owner. You'll set the roadmap, keep our core data current as our revenue systems evolve, and balance speed with long-term quality. You'll report directly to the Director of Commercial Strategy & Analytics, on a small team focused on helping commercial leadership make data-backed decisions that drive revenue growth.

Key Responsibilities

  • Build and own the data foundation.
  • Own the function's roadmap and deliver on it.
  • Build tested, documented dbt models that match how the business defines ARR, bookings, and pipeline.
  • Build analytical models for upsell, whitespace, ICP fit, and account scoring.
  • Build semantic layers that make self-serve easy for analysts and business users.
  • Build AI-powered tools and automations that enhance team efficiency.
  • Set the standard for data architecture, QA, and engineering practices (version control, code review, CI/CD, monitoring).
  • Own the governance behind our data, including clear rules for ownership, access, naming, lineage, and change.
  • Keep documentation current, including how to report on core metrics.
  • Partner directly with stakeholders across Sales, Marketing, and Finance to define problems and scope the right solution.
  • Work with the enterprise data team and spoke analytics teams on data modeling initiatives.
  • Anticipate future analytics needs and proactively invest in them.
  • Represent the team in technical planning conversations.
  • Evaluate and recommend improvements to our data tooling and infrastructure.
  • Level up analysts’ dbt and modeling skills.
  • Help build a culture where good data and good decisions go hand in hand.

Qualifications

  • 8+ years in data or analytics roles, with 3+ in analytics engineering, ideally at a fast-paced, data-driven company.
  • A leader's instinct for ambiguity β€” you set your own direction, know what good looks like, and build it from scratch.
  • Experience building analytical models for GTM teams, such as account scoring, ICP, propensity, or whitespace analysis.
  • Deep, hands-on expertise in data modeling β€” from raw source data to models people actually want to build on.
  • End-to-end ownership of production data models in Snowflake (or a similar enterprise warehouse).
  • Expert-level SQL and solid Python skills for ad-hoc discovery, data workflows, and automation.
  • Fluency with our stack β€” Fivetran, dbt, and Snowflake.
  • Experience inheriting, maintaining, and improving data models and ETL/ELT pipelines built by others.
  • Experience applying software engineering practices to analytics: Git, code review, CI/CD, and automated testing.
  • Genuine curiosity about the business behind the data.
  • The instinct to break big projects into clean, well-scoped pieces while juggling conflicting priorities.
  • Excellent communication skills β€” able to translate a business question into a data model.

Requirements

  • Compensation Range: $129,600 – $178,200.
  • Salary based on the scope and responsibilities of the role, relevant skills, experience, and certifications, and physical location.
  • Note on Internal Ranges: Reflects current budget for this hire; broader internal salary grades allow for future career growth and merit-based increases.

Benefits

  • Perks may vary based on eligibility/location.

Company Description

  • Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers.
  • Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes.
  • Drive innovation: Create the future. Continuously improve what exists and invent what’s next.
  • Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success.
  • Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve.

Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information.

We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation.

#LI-Remote

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Analytics Engineer @Optro
Data and Analytics
Salary $129,600 – $178..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
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