Key Facts

Remote From:

United States

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Action Oriented
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Communication
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Teamwork
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Analytical Thinking
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Detail Oriented
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Problem Solving

Roles & Responsibilities

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 macros, tests, snapshots, and incremental models
Familiarity with data visualization and BI tools such as Sigma, Tableau, or Power BI

Requirements:

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

Octus

About Octus

Founded in 2013, Octus, formerly Reorg, is the essential credit intelligence and data provider for the world’s leading buy side firms, investment banks, law firms and advisory firms. By surrounding unparalleled human expertise with proven technology, data and AI tools, Octus unlocks powerful truths that fuel decisive action across financial markets. Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle. Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle.

Founded: 2018

Company size: 501 - 1000

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Job description

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: https://octus.com/

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.

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