Analytics Engineer

Smeetz; España; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A dynamic SaaS startup is seeking an Analytics Engineer to enhance their data infrastructure and analytics capabilities. This fully remote position requires expertise in SQL, experience with Google BigQuery, and proficiency in BI tools. The ideal candidate will collaborate with stakeholders to provide actionable insights based on data analysis and contribute to a vibrant team culture. Competitive salary and growth opportunities offered.

Servicios

Competitive salary

Fully remote work

Professional development opportunities

Inclusive team culture

Formación

• 2+ years in data analytics or analytics engineering.
• Expert-level proficiency in SQL for data manipulation.
• Experience with dbt for building data models.

Responsabilidades

• Design and maintain scalable data models in Google BigQuery.
• Develop key business intelligence dashboards using BI tools.
• Analyze large datasets to identify trends and insights.
• Ensure data integrity and quality through validation tests.

Conocimientos

SQL expertise

Data modeling with dbt

Experience with Google BigQuery

BI tools proficiency (Looker, Tableau, Metabase)

Analytical mindset

Communication skills

Herramientas

Python

Git

Descripción del empleo

About Us

At Smeetz, we are dedicated to revolutionizing the way visitor attractions manage their sales and optimize their revenue. As a unified commerce Software-as-a-Service (SaaS) platform powered by AI, we provide attractions such as theme parks, museums, and theaters with an all-in-one solution to effectively manage, market, and price their products.

We are looking for a passionate and detail-oriented Analytics Engineer who thrives on transforming raw data into actionable insights. This is an exciting opportunity to join a fast-growing SaaS startup and play a pivotal role in shaping our data infrastructure and analytics capabilities from the ground up.

Responsibilities

Design, build, and maintain scalable and reliable data models within our data warehouse (Google BigQuery) using dbt to power business intelligence and analytics.

Develop and own key business intelligence dashboards and reports in our BI tool (e.g., Looker, Tableau, Metabase), providing actionable insights to stakeholders across sales, operations, and product teams.

Collaborate with business stakeholders to understand their needs, translating complex questions into technical requirements and analytical projects.

Analyze large, complex datasets to identify trends, opportunities, and performance drivers, delivering clear and compelling findings.

Ensure data integrity and quality by developing data validation tests, documentation, and monitoring our core data pipelines and models.

Build the foundational data infrastructure that empowers self-service analytics and prepares Smeetz for future data science and AI initiatives.

• Experience: 2+ years in a data analytics, business intelligence, or analytics engineering role.
• Core Technical Skills:
  • SQL: Expert-level proficiency in SQL for complex querying and data manipulation.
  • Data Modeling & Transformation: Proven, hands‑on experience with dbt (or a similar data transformation tool) for building modular and tested data models.
  • Data Warehousing: Experience working with a modern cloud data warehouse, preferably Google BigQuery (experience with Snowflake, Redshift, etc., is also valuable).
  • Business Intelligence: Proficiency in creating insightful dashboards and reports using a BI tool like Looker, Tableau, Power BI, or Metabase, etc.
• Programming & Workflow:
  • Familiarity with Python (especially Pandas) for data analysis and scripting is a strong plus.
  • Experience with version control systems, particularly Git, is required.
• Analytical Mindset: Strong analytical and problem‑solving skills, with experience in statistical analysis and A/B testing methodologies.
• Communication: Excellent ability to communicate complex data insights clearly and concisely to both technical and non‑technical audiences.
• Bonus Points for:
  • Experience with data pipeline orchestration tools (e.g., Airflow, Dagster, Prefect).
  • Prior experience in a SaaS, e‑commerce, or a fast‑paced tech environment.

• Competitive salary based on experience.
• Fully remote position, allowing you to work from the comfort of your own space.
• Opportunities for professional development and career growth.
• Collaborative and inclusive team culture.