Talent Pro is a leading B2C product company revolutionizing the [Industry Name - e.g., e-commerce, ed-tech, fintech] space with its innovative platform. We connect millions of users with [briefly describe the product/service] through data-driven insights and a user-centric approach. Our fast-paced, collaborative environment fosters creativity and empowers individuals to make a significant impact.

Role Overview :

As a Data Analyst at Talent Pro, you will play a crucial role in transforming raw data into actionable intelligence that drives product development and business strategy. You will collaborate closely with product managers, engineers, and marketing teams to identify key trends, uncover hidden opportunities, and optimize user experiences. Your insights will directly influence product roadmaps and contribute to the company's continued growth and success.

Key Responsibilities :

- Analyze large datasets to identify trends, patterns, and anomalies that inform product decisions and marketing campaigns.

- Develop and maintain data models to support reporting and analysis needs across various business functions.

- Design and implement dashboards and visualizations to communicate key performance indicators (KPIs) to stakeholders.

- Conduct A/B testing and other experiments to evaluate the effectiveness of product features and marketing initiatives.

- Collaborate with engineers to ensure data quality and integrity across all systems.

- Provide data-driven recommendations to product managers and marketing teams to improve user engagement and conversion rates.

- Proactively identify opportunities to leverage data to improve business processes and outcomes.

Required Skillset :

- Demonstrated ability to extract, clean, and analyze large datasets using SQL.

- Proven experience in data modeling and database design principles.

- Expertise in data visualization tools such as Tableau, Power BI, or similar platforms.

- Strong analytical and problem-solving skills with a focus on delivering actionable insights.

- Excellent communication and presentation skills with the ability to effectively convey complex information to both technical and non-technical audiences.

- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related area.

- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.