Join Our Team as a Senior Analytics Engineer
Remote is seeking a talented Senior Analytics Engineer to join our growing Data Team. This is an exciting opportunity to be part of a team that is driving business value through impactful decision-making. Our team consists of over 15 Data Engineers, Analytics Engineers, and Data Analysts spread across 10+ countries. We are in a transformative period, laying the foundations for scalable company growth across our data platform, which serves every part of the Remote business.
What You'll Do
- DBT Modelling: Design, develop, and maintain dbt (Data Build Tool) models for data transformation and analysis. Provide clean and reliable data to end users, enabling them to get accurate and consistent answers by self-serving on BI tools.
- Collaboration: Work closely with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models.
- Data Quality: Ensure data quality and consistency by implementing data testing, validation, and cleansing techniques.
- Monitoring: Implement monitoring solutions to track the health and performance of the data present in our warehouse.
- Training: Train business users on how to use data visualization tools.
- Documentation: Create and maintain data documentation & definitions, including data dictionaries and process flows.
- Knowledge Sharing: Share knowledge and provide guidance to peers, creating an environment that empowers collective growth.
What You Bring
- Experience in analytics engineering; high-growth tech company experience is a plus.
- Strong experience using data transformation frameworks (e.g., dbt) and data warehouses (e.g., Redshift), with strong proficiency in SQL.
- Strong knowledge in data modeling techniques (Kimball, Data Vault, etc.).
- Solid experience with data visualization tools (e.g., Metabase).
- Strong affinity towards well-crafted software - testing, knowledge of best practices, experience with CI/CD (e.g., Gitlab, Github, Jenkins).
- A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment.
- Proven collaboration and communication skills.
- Experience in dealing with ambiguity, working together with stakeholders on taking abstract concepts and turning them into data models that can answer a variety of questions.
- Fluent in English.
Benefits
- Work from anywhere.
- Unlimited personal time off (minimum 4 weeks).
- Quarterly company-wide day off for self-care.
- Flexible working hours (we are async).
- 16 weeks paid parental leave.
- Mental health support services.
- Stock options.
- Learning budget.
- Home office budget & IT equipment.
- Budget for local in-person social events or co-working spaces.
How to Apply
If you are passionate about data and want to make a significant impact in a global company, we encourage you to apply. Please submit your application and CV in English. If you don’t have an up-to-date CV but are still interested in talking to us, feel free to add a copy of your LinkedIn profile instead.
Remote is an equal employment opportunity employer. We prioritize a sense of belonging and encourage individuals from all backgrounds, identities, and experiences to apply.
Benefits Extracted with AI
- Work from anywhere
- Unlimited personal time off (minimum 4 weeks)
- Quarterly company-wide day off for self care
- Flexible working hours
- 16 weeks paid parental leave
- Mental health support services
- Stock options
- Learning budget
- Home office budget & IT equipment
- Budget for local in-person social events or co-working spaces
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