Seeking a talented and motivated Data Analyst to join our team, who will be responsible for ensuring the collection, analysis, and presentation of strategic data for decision making. The candidate should have strong analytical skills and experience with data tagging tools and metrics visualization.

Analytics engineers turn vast amounts of data into insightful, easy-to-use, automated reports. They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that inform better business decisions. This role requires 5 years of experience with SQL, data modeling, ELT process, Git, and BI tools.

We are looking for a Product Data Engineer to maintain and optimize data pipelines in AWS for product analytics and decision-making. This role focuses on ensuring data flow, availability, and performance while optimizing costs. Responsibilities include developing scalable data pipelines using Python and AWS services.

An experienced Data Project Manager is needed to lead and manage data projects with a focus on PySpark and Delta Lake technologies. The ideal candidate will oversee the planning, execution, and delivery of data-related projects while providing technical expertise in data architecture. This role requires a combination of project management skills, technical knowledge, and strong leadership abilities to ensure successful outcomes.

We're seeking a Data Engineer with MySQL experience to join our growing team. Responsibilities include designing a scalable data lake architecture, mapping ONIX data to MySQL, developing data ingestion pipelines, writing efficient stored procedures and queries, and designing RESTful APIs. You'll also act as a consultant, test data solutions, create documentation, and provide training to the client’s team.

As an Analyst, you’ll resolve critical data problems that drive marketers' strategic decisions, ensuring the platform delivers accurate, actionable insights. You will investigate issues, engage with customers via Helpdesk (Jira) & video calls (Google Meet), collaborate with Engineering, Product, & Customer Success teams, master Improvado’s tools (SQL) & marketing APIs (Facebook, Reddit), and document recurring cases.