Analytics Engineer | Mid-Senior

Join the AI revolution. We’re building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We’re looking for problem-solvers to turn powerful AI into an easy, no-code tool for teams everywhere.

We are looking for an Analytics Engineer to help us build a reliable, scalable analytics layer on top of our data. In this role, you will take ownership of the full data lifecycle: owning ingestion into Google BigQuery, modeling raw data into clean, well-documented tables, and enabling self-serve reporting via Looker Studio.

You will act as a key Individual Contributor, guiding our team toward better data practices and ensuring our business stakeholders can trust the numbers they use every day.

What You’ll Do:

Data Pipeline & Modeling (The "Build")

- Own the Pipeline: Build and optimize ETL/ELT pipelines for efficient data ingestion (using custom scripts or additional tools if needed).

- Model the Data: Develop and maintain robust data models using advanced SQL. You will model complex data across multiple sources, specifically Salesforce (SFDC), Stripe, and product event data.

- Transformation Logic: Transform raw data into analytics-ready datasets.

Data Quality & Governance (The "Trust")

- Ensure Accuracy: Implement data quality checks, validation, and testing to ensure trusted reporting. You will be the first line of defense against bad data.

- Document Everything: Create and maintain documentation for data models, definitions, and key metrics to ensure the business understands exactly what the data represents.

- Define Metrics: Work to define a consistent metrics layer, ensuring KPIs are calculated uniformly across the company.

Business Intelligence (The "Insights")

- Enable Self-Serve: Create and maintain interactive dashboards and reports in Looker Studio.

- Drive Usability: Partner with business stakeholders to define metrics, improve data usability, and ensure dashboards answer the right questions.

Cross-Functional Collaboration

- Partner with the Business: Work closely with Sales, Marketing, and Revenue Operations to understand their specific reporting needs.

- Translate Requirements: Act as a bridge between technical data and business strategy—translating vague business questions into concrete data models and metrics.

- Educate: Guide the team on data best practices and ensure business users understand what the metrics mean.

Core Requirements:
• 3+ years of experience as a Data Engineer, Analytics Engineer, or similar Data Developer role.

• Strong SQL skills are essential. You must be comfortable writing complex queries and optimizing for performance.

• Proven experience building dashboards in Looker Studio (or similar BI tools like Tableau/PowerBI, provided you can adapt quickly).

• SaaS Domain Knowledge. Familiarity working with business systems data, specifically Salesforce (SFDC), Stripe, and Product Events.

• Strong ability to translate business needs into technical solutions and work independently as an Individual Contributor.

Tools You Will Use:
• Data Warehouse: Google BigQuery

• Transformation & Logic: SQL, dbt

• Ingestion: Custom Scripts if there is a need additional tool Like Fivetran

• Visualization: Looker Studio

• Platforms: GA4/google analytics

Salary Ranges:
• Gross Salary 4100 - 6000 eu/month.

What We Offer

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.
• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.
• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.
• More free time. Stay with us and additional vacation days will be added to your calendar.
• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
• Flexibility. Flexible working time arrangement.

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