Why us?

Join our dynamic team as a Data Analyst, where you will play a critical role in supporting our product teams to make data-driven decisions. Your work will directly impact the direction and success of our products, ensuring that our decisions are informed and strategically sound. You will be responsible for gathering, analyzing, and interpreting complex data, and translating your findings into actionable insights that will guide our product strategies and business decisions.

Your Impact

• Utilize your proficiency in SQL to query databases, extract relevant data, and provide actionable insights.
• Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar to communicate key metrics and trends.
• Leverage your expertise in Excel and familiarity with Python or R to manipulate large datasets, perform advanced data analysis, and create predictive models.
• Apply your solid understanding of statistical methods to conduct rigorous data analysis and ensure the accuracy and relevance of insights.
• Work hands-on with relational databases such as My SQL, Postgre SQL, or similar to manage, organize, and optimize data storage.
• Convert complex data findings into clear, actionable insights for non-technical stakeholders, enabling informed decision-making across the organization.
• Design, implement, and analyze A/B tests to support product teams in making data-driven decisions and optimizing product performance.
• Effectively communicate your findings and recommendations to various stakeholders, ensuring that data insights are understood and utilized effectively.

What can you bring

• Proficiency in SQL for database querying and analysis.
• Experience with visualization tools like Tableau, Power BI, or similar.
• Advanced Excel skills and familiarity with data manipulation tools like Python or R.
• Strong understanding of statistical methods and their application in real-world scenarios.
• Hands-on experience with relational databases such as My SQL, Postgre SQL, or similar.
• Analytic mindset with a keen ability to solve complex problems.
• Ability to translate complex data into actionable insights for non-technical stakeholders.
• Experience with A/B testing to drive product decisions.
• Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Adaptability to work in a fast-paced environment, where priorities can shift quickly.

Lacking experience in some of the areas mentioned? No need for concern – we are committed to providing you with the necessary support for learning, training, and on-the-job coaching

Our Benefits

About us