This team plays a central role in shaping the direction of our most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the companys core solutions.
The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.
What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across our core products.
Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.
What you have:
3-5 years of experience as a Data Analyst, preferably in a big data or SaaS company.
Hands-on experience with BI tools such as Looker, PowerBI, Tableau, or similar.
Bachelors degree in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.
Strong proficiency in SQL and experience working with large-scale datasets.
A proactive attitude with a passion for problem-solving and product optimization.
Bonus Points:
Experience working with cloud data services such as Amazon AWS (Athena, S3, Redshift) or Google BigQuery.
Technical approach with a deep understanding of data pipelines and ETL processes.
Experience applying AI or machine learning techniques to generate product insights, automate analyses, or enhance user-facing features.
Being introduced by our team member.
