Senior Analytics Engineer

Octus Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: Working at Octus Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more. Role The Role Octus' Business Intelligence team is seeking a Senior Analytics Engineer to help unlock the power of data-driven decision-making across the business. In this role, you will take ownership of our dbt models and Snowflake data warehouse, ensuring the reliability, scalability, and performance of the data infrastructure that shapes company strategy. You'll serve as a critical bridge between our data engineering and analytics teams, translating complex business requirements into clean, well-documented data models that analysts and stakeholders can trust. Responsibilities Develop a deep understanding of our data tech stack, key data sources, and business domain to become a go-to resource for data questions across the organization Own and evolve our dbt project — improving model structure, documentation, testing coverage, and overall warehouse architecture Write performant, scalable SQL that integrates complex data from multiple sources into reliable tables and views that power critical business decisions Monitor and optimize Snowflake costs through query optimization, warehouse tuning, clustering strategies, and proactive recommendations Partner with analysts, data scientists, and business stakeholders to translate business requirements into well-modeled, reusable data assets Establish and enforce best practices for data modeling, code review, testing, and documentation across the BI team Identify and resolve data quality issues, building robust testing frameworks to ensure data accuracy and consistency Contribute to the roadmap for our data platform, evaluating new tools and technologies as the business scales Requirements 8+ years of experience in data analytics, analytics engineering, or data engineering Expert-level SQL skills with proven ability to model complex, high-volume datasets in a cloud data warehouse (Snowflake strongly preferred) Hands-on experience with dbt (Core or Cloud), including advanced features such as macros, tests, snapshots, and incremental models Familiarity with data visualization and BI tools such as Sigma, Tableau, or Power BI Experience with Python for data transformation, scripting, or pipeline work is a plus Background in financial data, pipeline modeling, or SaaS/fintech analytics strongly preferred Strong analytical thinking and attention to detail — you can trace a data problem from a dashboard all the way back to source systems Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders and translate business needs into data solutions Comfortable working autonomously in a fast-paced, remote-first environment while collaborating closely with cross-functional teams US-based; ability to work from our New York office is a plus Equal Employment Opportunity Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.