Data Analyst

About Us:

Job Summary:

Key Responsibilities:

Data Analysis:

• Perform in-depth analysis using statistical techniques like impact, pre-post, funnel analysis to identify insights and optimize to drive growth
• Evaluate product and feature performance, providing insights to inform product development and enhancements
• Analyze and understand customer behavior and segment customers to tailor marketing and product strategies based on their needs and preferences

Reporting:

• Develop and maintain comprehensive dashboards and reports that provide visibility into key metrics and self-serve reports to various teams

Insights Generation:

• Translate complex data into clear and actionable insights that drive business decisions and strategic initiatives

Collaboration:

• Work closely with cross-functional teams, including growth, sales, and product, to understand their data needs and provide analytical support
• Own and build the analytics roadmap from vendor and tool selection to dashboards and long-term projects

Data Quality:

• Ensure data accuracy and integrity by performing regular data validation and cleansing activities
• Identify opportunities to streamline data processes and improve efficiency through the implementation of automation tools and techniques

Core Analytics:

• Work end-to-end on projects like buyer attribution, campaign scoring model, optimal pricing strategy, lead funnel optimization, etc., using a data-driven approach
• Collaborate with the growth team to optimize ROAS by designing incrementality tests and campaign optimization and perform RCA

Skills Required:

1. Minimum 2-3 years of experience in the analytics domain.
2. Proficiency in data analysis tools and languages, such as SQL and Excel.
3. Strong business acumen with the ability to connect data insights to business goals.
4. Strong understanding and experience of statistical methods and advanced analytical techniques.
5. Sound understanding of data architecture and its implementation.
6. Experience with data visualization tools, such as Tableau, Power BI, or Looker.
7. Self-motivated, proactive, and highly accountable.
8. Strong communication skills, with the ability to present complex data insights to non-technical stakeholders