2 дня назад
Senior Analytics Engineer (Snowflake/dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Snowflake/dbt): Building production-quality analytics models, certified metrics, dashboards, and semantic data products for a global materials marketplace with an accent on metric precision, reusable data models, and trusted reporting. Focus on designing Snowflake and dbt models, resolving metric inconsistencies, building Tableau dashboards, and automating analytics workflows that support internal teams and brand partners.
Location: London, UK; hybrid with 2 days in the office
Company
operates a global material marketplace connecting architecture and design professionals with manufacturers and material samples.
What you will do
- Own analytics engineering for assigned business domains, from metric definitions and data models through dashboards and insights.
- Design, build, document, test, and maintain production-quality dbt models in Snowflake.
- Resolve inconsistencies in metric logic and maintain a certified source of truth.
- Build high-value dashboards in Tableau and contribute to the evolving Sigma stack.
- Develop semantic-layer definitions, embedded analytics, and data products for internal teams and brand partners.
- Automate recurring analytics work and add monitoring and validation to keep outputs reliable.
Requirements
- 5+ years of experience in analytics engineering, data analytics, or a similar technical analytics role.
- Expert SQL skills with large and complex datasets.
- Strong hands-on experience with Snowflake and dbt, including dimensional modeling, incremental models, testing, and documentation.
- Strong Tableau skills and sound judgment around metric grain, denominators, filters, time zones, and deduplication.
- Ability to manage work across multiple domains, work directly with stakeholders, and explain technical concepts to non-technical audiences.
- Ability to work in a hybrid arrangement in London with 2 days in the office.
Nice to have
- Python for automation and data validation.
- Experience with marketplace, e-commerce, or B2B SaaS analytics.
- Experience with Segment, GA4, semantic layers, Snowflake Cortex, embedded analytics, or customer-facing data products.
- Experience with A/B testing, cohort analysis, or difference-in-differences.
Culture & Benefits
- Small, empowered, fast-paced teams focused on efficiency, automation, and rapid execution.
- Inclusive and supportive workplace with internal communication and corporate events.
- Flexible PTO, sick days, and paid national holidays.
- Medical, dental, vision, disability, and employee assistance benefits.
- 401(k) eligibility after the first 90 days of employment.
- Career growth opportunities and support for creative, independent initiative.
Hiring process
- Submit a resume and cover letter describing relevant qualifications and experience.
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