About the Role 

We are looking for a talented and experienced Data Analyst to design, evaluate, and implement experiments that drive data-driven decision-making and growth. In this role, you will collaborate with cross-functional teams to design robust experiments, prioritize them based on business impact, resource availability, and feasibility, and ensure the successful implementation of actionable findings.

What You’ll Do 

• Experiment Design & Evaluation: Design A/B tests and other experimental frameworks to test hypotheses and evaluate new initiatives. Collaborate with cross-functional teams to define goals, metrics, and success criteria for experiments.
• Experiment Prioritization: Develop a systematic approach to prioritize experiments based on business needs, potential impact, resource constraints, and feasibility. Work closely with stakeholders to align experimental priorities with organizational goals.
•  Data Collection & Analysis: Collect, clean, and analyze data generated from experiments. Use statistical techniques to derive meaningful insights and provide actionable recommendations.
•  Stakeholder Collaboration: Communicate experiment results and insights effectively to both technical and non-technical stakeholders, ensuring findings are understood and utilized in decision-making processes.
•  Implementation & Execution: Oversee the implementation of successful experimental findings. Work closely with teams to ensure the results of experiments are properly executed and translated into real-world applications.
• Continuous Improvement: Monitor the long-term effects of implemented findings to ensure continuous improvement and refinement of business strategies. Identify areas for optimization and future experiments.
• Data Visualization & Reporting: Create and maintain dashboards to track the progress of experiments and visualize key findings. Provide regular reports on experimental outcomes and business performance.
• Documentation & Knowledge Sharing: Document the design, methodology, and results of experiments to build a knowledge base for future experiments. Ensure that successful frameworks and findings are shared across teams.

Desired Candidate Profile 

• Bachelor’s in Statistics, Economics, Data Science, or any related quantitative field.
•  3-5 years of experience as a Business Intelligence/Data Analyst, with a focus on designing and evaluating experiments.
• Proven experience in A/B testing, RCTs (Randomized Controlled Trials), and other experimental methodologies.
• Proficiency in SQL and R or Python for data analysis.
• Experience with data visualization tools like Tableau or Power BI (Tableau is preferred).
• Strong analytical and problem-solving skills, with the ability to prioritize and manage multiple experiments simultaneously.
• Excellent written, verbal, and presentation skills to communicate complex findings to diverse audiences.
• Ability to work in a fast-paced environment and manage projects across multiple teams.