About UsAt 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.
ResponsibilitiesDesign, 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.
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