Data Analyst

Analyze Data:

• Lead analysis of user engagement metrics, conversion rates, and retention statistics to uncover insights and improvement opportunities.
• Conduct deep-dive analysis and A/B testing to evaluate product changes and guide future iterations.
• Track market trends, competitive landscape, and industry best practices to inform product strategy.

Define and Measure KPIs:

• Collaborate with product managers and Marketing to track and report on key performance metrics.
• Develop measurement strategies for new feature releases.
• Create and maintain dashboards and reports to monitor product performance.
• Work with engineering and design teams to define data requirements and ensure high-quality data for analysis.

Present Insights:

• Use statistical analysis and data visualization tools to communicate findings to product teams and senior leadership.

Collaborate on Strategic Initiatives:

• Partner with cross-functional teams to develop and execute data-driven strategic initiatives.

Qualifications:

Educational Background & Experience:

• Bachelors degree in Mathematics, Statistics, Economics, Computer Science, or a related field. Master s degree preferred.
• 5 years of data analysis experience, ideally in a product-focused role within a tech company.

Technical Skills:

• Proficient in SQL, Python, R, or other programming languages for data analysis.
• Proficient in Google Analytics and Google Tag Manager.
• Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Familiarity with statistical analysis techniques and experimental design.

Analytical and Problem-Solving Skills:

• Ability to translate complex data into actionable insights.
• Ability to create compelling data visualizations.

Communication Skills:

• Strong ability to convey technical concepts to non-technical stakeholders.

Collaboration and Leadership:

• Proven ability to work in a fast-paced, cross-functional environment.
• Ability to influence and drive change through data-driven insights.

Passion for Data:

• Enthusiasm for using data to drive product innovation and improve user experiences.