Analytics Engineer

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October 8

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Batmaid

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eCommerce • B2C • Wellness

Batmaid is Switzerland's leading home cleaning company, offering high-quality cleaning services for homes, businesses, and end-of-tenancy situations. Established in 2015, Batmaid employs and insures all its cleaners under permanent contracts, adhering to the sector’s Collective Bargaining Agreement. Their services are customizable through a user-friendly app, allowing clients to book and manage cleanings with ease. Batmaid aims to provide a hassle-free experience, lifting the burden of employer responsibilities from the client, and ensuring all social charges and insurances for cleaners are managed by the company. With excellent reviews and a strong presence across Swiss cities, Batmaid is dedicated to enhancing the quality of life by providing tailored cleaning support for all, including students, new parents, and those recovering from injury.

51 - 200 employees

Founded 2015

🛍️ eCommerce

👥 B2C

🧘 Wellness

📋 Description

• Design, build, and maintain **dbt models** that transform and structure raw data for reporting and analytics. • Write efficient and scalable **SQL** to support modeling and analysis within Snowflake. • Use **Python** for data transformations, automations, and integrations. • Build and maintain **Tableau dashboards** to surface metrics and insights to business users. • Define, document, and standardize **core metrics and KPIs** across the organization. • Partner with the Data Engineer to ensure data pipelines are performant, reliable, and well-maintained. • Conduct data quality checks and maintain documentation to ensure trust in data. • Collaborate with stakeholders to translate business questions into data requirements and deliver clear, actionable solutions.

🎯 Requirements

• 3–5 years of experience in analytics engineering, BI development, or data engineering • Strong proficiency in **SQL**, ideally with Snowflake or a similar cloud data warehouse • Hands-on experience with **dbt (data build tool)** for transformation and data modeling • Proficient in **Python** for data manipulation and process automation • Solid understanding of **data modeling principles** (e.g., star/snowflake schemas, dimensional modeling) • Experience developing dashboards and reports in **Tableau** or another BI tool • Familiarity with **Git-based version control**; experience with CI/CD workflows is a plus • Fluent English skills (spoken and written) • Experience with cloud platforms such as AWS, GCP, or Azure is a plus • Familiarity with dbt Cloud is a plus • Familiarity with Apache Airflow or similar workflow orchestration tools (e.g., Dagster, Prefect) is a strong advantage • Interest in data governance and documentation frameworks (e.g., data catalogs, lineage tracking) is appreciated • Experience with Docker is a plus • Excellent communication skills; ability to translate complex data work into actionable business insights