Senior Data Analytics Engineer, Optro
$125-140k
+ Offers Bonus
Governance, risk, and compliance software
Be an early applicant
Governance, risk, and compliance software
501-1000 employees
Be an early applicant
$125-140k
+ Offers Bonus
501-1000 employees
Company mission
To transform the way enterprises manage their audit, risk, and compliance programs.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering, analytics engineering, or similar role within a SaaS environment
- Strong expertise in SQL and modern data stack technologies (Snowflake, dbt and Tableau)
- Experience building scalable ETL/ELT pipelines and data models across multiple business systems
- Familiarity with CRM (Salesforce), CS tools (Gainsight), and product telemetry environments (Amplitude / Pendo), Support (Zendesk)
- Strong cross-functional collaboration skills with the ability to translate business requirements into technical solutions
- Experience working in high-growth SaaS environments
- Understanding of SaaS metrics including NRR, GRR, ARR, retention forecasting, and customer health scoring
What the job involves
- We are seeking a Senior Data Analytics Engineer to build and scale the enterprise data foundation that powers our Post-Sales organization and Product Engineering teams
- This role sits at the center of Customer Success, Renewals, Professional Services, Support, Customer Education, and Product, ensuring that trusted, well-governed data enables smarter decisions across the entire customer lifecycle
- You will design and own scalable data pipelines, optimize data models, and establish governance standards that improve retention forecasting, risk identification, operational efficiency, product telemetry insights, and AI enablement
- This is a high-impact opportunity to shape how Optro leverages customer and product data to drive growth, protect revenue, and accelerate innovation
- Design, build, and maintain scalable data pipelines that ingest and transform data across Salesforce, Gainsight, Rocketlane, Zendesk, Snowflake, product telemetry, and other core systems
- Strategic partner with Customer Ops & Analytics, Enterprise Data Engineering and Product Operations teams to be a thought leader to design scalable data solutions
- Develop reliable data models that power renewal forecasting, churn prediction, customer health scoring, professional services metrics, support performance, and product usage
- Implement CI/CD, data testing, and documentation best practices to ensure scalable, secure, and auditable transformations
- Optimize warehouse performance and data architecture for speed, cost efficiency, and reliability
- Partner with Product and Engineering to design telemetry schemas and ensure meaningful product instrumentation, while building pipelines that translate product usage data into actionable insights for both Product teams and Post-Sales teams
- Architect data structures that support AI/ML use cases including churn prediction, renewal forecasting, workflow automation, and sentiment analysis
- Implement monitoring and validation frameworks to proactively detect data inconsistencies
- Familiarity with using Python for basic to advanced data processing tasks
- Develop and document data or system models, flow diagrams and architecture guidelines
- Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset
- 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
Our take
Optro provides risk and compliance software for large businesses. The company's founders spent years working at the Big Four and other global enterprises, and realised that many audit activities were still taking place in Excel sheets, or using legacy software like IBM's OpenPages, which hadn't kept up to date with the latest reporting requirements.
The result was an end-to-end platform for managing risk, helping enterprises to streamline internal audit, SOX compliance, controls management, risk management, and security compliance. It's a top-rated cloud-based platform and has won numerous awards, with the company being consistently named the market leader in Audit Management.
The company's current client list of 2000+ includes Boeing, Activision, and Priceline, and nearly half of the Fortune 500. It continues to experience rapid customer growth, with revenues exceeding $100 million and a 60% annual growth rate. The company has been ranked as one of the fastest-growing tech companies in North America for the last three years in a row, and was acquired by private equity firm Hg in 2024 for a reported $3 billion.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (2 rounds)
Aug 2018
$40m
SERIES B
Apr 2017
$3.6m
SERIES A
Total funding: $43.6m
Company benefits
- Vision and dental insurance
- 8-16 weeks paid parental leave
- Company equity
- Work from home opportunities
- Health insurance
Company HQ
Cerritos, CA
Leadership
Daniel Kim
(Co-Founder & Senior Advisor)Co-founded AuditBoard in 2014, and served as co-CEO until July 2020. Former Global Director of Internal Audit at Quiksilver and Executive Director, Corporate Audit and Compliance at International Rectifier.
Jay Lee
(Co-Founder, Co-Chair of the Board & Senior Advisor)Co-founded AuditBoard in 2014, and served as co-CEO until July 2020. Former VP of CounterPoint, and was SVP & CFO at Tomich Brothers Seafood.
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