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Senior Analytics Engineer
Отличная вакансия в стабильной финтех-компании с сильной корпоративной культурой и широким пакетом льгот. Высокий балл за удаленный формат работы в США и возможность влиять на архитектуру данных глобального лидера.
Сложность вакансии
Высокая сложность обусловлена требованием к опыту работы более 8 лет и экспертному владению стеком Snowflake и dbt. Роль предполагает не только техническую реализацию, но и стратегическое управление архитектурой данных и оптимизацию затрат.
Анализ зарплаты
Предлагаемая роль Senior Analytics Engineer в США со стажем 8+ лет обычно оплачивается в диапазоне $160,000 - $210,000. Вакансия соответствует рыночным ожиданиям для опытных специалистов в сфере финтех-аналитики.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Analytics Engineer position at Octus. With over 8 years of experience in data engineering and a deep specialization in Snowflake and dbt, I have a proven track record of transforming complex raw data into high-performance, reliable models that drive strategic business decisions. My background in financial data and SaaS analytics aligns perfectly with Octus's mission to provide world-class credit intelligence.
In my previous roles, I have successfully optimized Snowflake environments to reduce costs while improving query performance, and I have led the implementation of robust dbt testing frameworks to ensure data integrity. I am particularly drawn to Octus's action-oriented culture and the opportunity to bridge the gap between data engineering and business stakeholders. I am confident that my technical expertise and analytical mindset will allow me to contribute significantly to your BI team's roadmap and the overall scalability of your data platform.
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Откликнитесь в octus уже сейчас
Присоединяйтесь к лидерам кредитной аналитики и станьте ключевым архитектором данных в Octus!
Описание вакансии
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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Навыки
- Tableau
- Data Architecture
- Python
- SQL
- dbt
- Snowflake
- Power BI
- Data Modeling
- Sigma
- SaaS Analytics
Возможные вопросы на собеседовании
Проверка глубоких знаний dbt и умения работать с масштабируемыми проектами.
Расскажите о вашем опыте использования макросов и инкрементальных моделей в dbt для оптимизации обработки больших объемов данных.
Важная часть обязанностей — контроль расходов компании на облачную инфраструктуру.
Какие конкретные стратегии вы применяли для мониторинга и оптимизации затрат в Snowflake?
Оценка навыков проектирования архитектуры данных.
Как вы подходите к проектированию архитектуры хранилища данных, чтобы обеспечить баланс между гибкостью для аналитиков и производительностью системы?
Проверка способности решать проблемы качества данных на всех этапах.
Опишите случай, когда вы обнаружили критическую ошибку в данных. Как вы отследили её до источника и какие меры приняли для предотвращения повторения?
Роль требует взаимодействия с нетехническими отделами.
Как вы переводите сложные технические ограничения или требования к данным на язык, понятный бизнес-стейкхолдерам?
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