
501 - 1000 employees
Founded 2014
âď¸ SaaS
đ Compliance
đ¤ Artificial Intelligence
SaaS ⢠Compliance ⢠Artificial Intelligence
Optro is an enterprise software company (formerly AuditBoard) that provides an AI-powered Governance, Risk, and Compliance (GRC) platform for large organizations. Its cloud-based system connects audits, controls, risk assessments, third-party risk, and compliance frameworks into a unified operational model that continuously monitors evidence, surfaces control failures, and automates assurance workflows. Optro targets enterprises and regulated organizations seeking to scale risk programs, improve visibility and compliance, and leverage domain-trained AI to move from reactive oversight to proactive risk management.
đ October 6
đşđ¸ United States â Remote
đľ $129.6k - $178.2k / year
â° Full Time
đ Senior
đ Analytics Engineer
đť Ghost score 2%
Where this job comes from
Posted on Optro's careers page, not through a job board
First seen by Remote Rocketship October 6
Still open on Optro's site. Checked 4 hours ago.

501 - 1000 employees
Founded 2014
âď¸ SaaS
đ Compliance
đ¤ Artificial Intelligence
SaaS ⢠Compliance ⢠Artificial Intelligence
Optro is an enterprise software company (formerly AuditBoard) that provides an AI-powered Governance, Risk, and Compliance (GRC) platform for large organizations. Its cloud-based system connects audits, controls, risk assessments, third-party risk, and compliance frameworks into a unified operational model that continuously monitors evidence, surfaces control failures, and automates assurance workflows. Optro targets enterprises and regulated organizations seeking to scale risk programs, improve visibility and compliance, and leverage domain-trained AI to move from reactive oversight to proactive risk management.
⢠Own the Commercial Strategy & Analytics function's roadmap and deliver on it ⢠Build tested, documented dbt models for ARR, bookings, and pipeline ⢠Build analytical models for upsell, whitespace, ICP fit, and account scoring ⢠Build semantic layers for analyst and business-user self-service ⢠Build AI-powered tools and automations ⢠Set standards for data architecture, QA, version control, code review, CI/CD, and monitoring ⢠Own data governance covering ownership, access, naming, lineage, and change management ⢠Keep documentation current, including reporting guidance for core metrics ⢠Partner with Sales, Marketing, and Finance stakeholders to define problems and solutions ⢠Collaborate 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 discussions ⢠Evaluate and recommend improvements to data tooling and infrastructure ⢠Develop analysts' dbt and data modeling skills ⢠Help build a culture of high-quality data and data-backed decisions ⢠Report directly to the Director of Commercial Strategy & Analytics
⢠8+ years in data or analytics roles, with 3+ years in analytics engineering ⢠Experience building analytical models for GTM teams, including account scoring, ICP, propensity, or whitespace analysis ⢠Deep, hands-on expertise in data modeling ⢠End-to-end ownership of production data models in Snowflake or a similar enterprise warehouse ⢠Expert-level SQL and solid Python ⢠Fluency with Fivetran, dbt, and Snowflake ⢠Experience building semantic layers in dbt or Snowflake semantic tables ⢠Experience maintaining and improving inherited data models and ETL/ELT pipelines ⢠Experience with Git, code review, CI/CD, and automated testing ⢠Ability to learn booking definitions, sales motions, and product portfolio quickly ⢠Ability to break large projects into well-scoped pieces while managing conflicting priorities ⢠Excellent communication skills ⢠Background checks required ⢠Qualified applicants with arrest or conviction records will be considered in accordance with applicable fair-chance laws
⢠Bonus offered ⢠Fair and competitive salary based on role scope, relevant skills, experience, certifications, and physical location ⢠Opportunity for future career growth and merit-based increases within the role over time
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