Mid/Senior Data Engineer/Analyst

Hi!

Our client is a fast-growing American startup that has developed an innovative collaboration tool for graphic designers. Their product combines the functionalities of Google Docs, Photoshop, and Miro, enabling teams to work efficiently in one place. In response to the increasing demand for creative content, especially in industries like gaming and entertainment, the company focuses on streamlining the creative process. Their browser-based platform allows seamless access to drawings, animations, 3D tools, and videos from anywhere. With over 2 million registered users and 70,000 active daily accounts, their client portfolio includes industry leaders such as Riot Games, Wooga, and Wildbrain. Additionally, top studio artists from Netflix and Disney Animation rely on their product.

Localization: 100% Remote (Austin, Texas)

Salary: $5000 - $7500 (B2B)

What You'll do

• Define and track key product success metrics.
• Analyze user engagement, reduce churn, and optimize conversion.
• Identify trends, opportunities, and issues to inform product strategy.
• Develop and maintain predictive models and recommendation algorithms.
• Present a weekly “Weather Report” with key metrics, trends, and insights
• Build and optimize data pipelines (ETL) using a modern tech stack.
• Improve Python and C++ analytics models and contribute to TypeScript analytics.
• Create dashboards and reports for leadership and investors.
• Support GTM strategy and collaborate with CPO & CEO on key metrics.
• Future growth: Role can evolve into a more technical (ML-focused) or strategic (Head of Data) direction.

What You’ll need

• Proven track record in a startup or product-focused company that successfully scaled thanks to data-informed strategy.
• Wide experience of working closely with the product and having a deep understanding of product development.
• Proven experience in product analytics, defining success metrics, measuring feature impact, and generating insights.
• Strong understanding of user retention and conversion, diagnosing churn, optimizing funnels, and boosting engagement.
• Proficiency in data engineering, including data structures, modeling, and scalable ETL pipelines.
• Experience with databases and querying, including SQL (PostgreSQL, Clickhouse) and NoSQL (MongoDB).
• Hands-on experience in building executive-level dashboards and investor-ready data visualizations.
• Ability to use or willingness to learn AI and automation tools to optimize workflows.
• Fluent written and spoken English.
• Availability for daily standups, scrum rituals, and at least 2 hours overlap with CET & CT time zones.

Nice to have

• Predictive Modeling: Hands-on experience with algorithms that drive recommendations or personalization.
• Machine Learning: Familiarity with machine learning concepts, hypothesis testing, and user segmentation.
• A/B Testing & Growth: Familiarity with growth hacking principles and experimentation frameworks.
• Data Governance & Security: Understanding of compliance, data privacy, and best practices.
• Docker: Comfort with containerization for data science workflows.

Tech Stack

• Databases: MongoDB, PostgreSQL, Clickhouse
• Visualization & BI: Metabase, Posthog, Google Analytics
• Languages:
• Core analytics: Python/SQL
• Supporting (nice-to-have or willing to learn): C++ and Typescript
• Cloud Services: We tend to rely on self-hosted software, but we do use cloud services when applicable.
• Bonus: Docker for containerizing data science workflows

What You’ll get

• Future growth: Role can evolve into a more technical (ML-focused) or strategic (Head of Data) direction.
• Autonomy – Ability to shape the role according to your needs and full independence in your work.
• Competitive Salary: Based on experience and skillset.
• Equity: Stock options that make you a co-owner in the company’s success.
• Work-life Balance: Unlimited vacation and unparalleled Work Flexibility
• Remote Flexibility: Work from anywhere, with annual global off-sites and periodic regional gatherings.
• Professional Growth: A chance to shape the future of art collaboration, driving product and strategy through data.
• Dynamic Culture: Join an ambitious, diverse team committed to evolving how visual art is created and shared.
• Around-the-world kick-off’s: A fully paid company-wide global offsite once a year and a regional offsite (Europe/US/Asia) every half a year.