Data Analyst

We are seeking a Data Analyst skilled in A/B testing to design experiments, analyze results, and optimize products and marketing strategies. The role involves collaborating with product and marketing teams to generate actionable insights and drive data-informed decisions. Strong SQL, statistical analysis, and data visualization skills are essential. Key responsibilities include designing and executing A/B tests, collecting and interpreting data, developing dashboards, and recommending data-driven improvements.

Must Have

• Design, execute, and analyze A/B tests to evaluate product features, marketing campaigns, and user experience changes.
• Collect, clean, and interpret data from multiple sources to generate actionable insights.
• Develop dashboards, reports, and visualizations to communicate results effectively to stakeholders.
• Collaborate with product, marketing, and engineering teams to define test hypotheses and metrics.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization.
• Monitor ongoing experiments and ensure statistical rigor in test design and analysis.
• Recommend data-driven improvements based on test results and analytics.
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience in data analysis, preferably with A/B testing and experimentation.
• Strong proficiency in SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Knowledge of statistical methods, hypothesis testing, and experimental design.
• Experience with analytics platforms like Google Analytics, Mixpanel, or similar tools.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present findings to technical and non-technical audiences.
• Experience with Python for data analysis.
• Familiarity with product analytics and user behavior metrics.

Good to Have

• Experience with R

We are looking for a Data Analyst skilled in A/B testing to design experiments, analyze results, and optimize our products and marketing strategies. You will work closely with product and marketing teams to generate actionable insights and drive data-informed decisions. Strong SQL, statistical analysis, and data visualization skills are required, with experience in Python/R preferred.

Key Responsibilities:

• Design, execute, and analyze A/B tests to evaluate product features, marketing campaigns, and user experience changes.
• Collect, clean, and interpret data from multiple sources to generate actionable insights.
• Develop dashboards, reports, and visualizations to communicate results effectively to stakeholders.
• Collaborate with product, marketing, and engineering teams to define test hypotheses and metrics.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization.
• Monitor ongoing experiments and ensure statistical rigor in test design and analysis.
• Recommend data-driven improvements based on test results and analytics.

Required Skills & Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience in data analysis, preferably with A/B testing and experimentation.
• Strong proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Knowledge of statistical methods, hypothesis testing, and experimental design.
• Experience with analytics platforms like Google Analytics, Mixpanel, or similar tools.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present findings to technical and non-technical audiences.
• Experience with Python for data analysis.
• Familiarity with product analytics and user behavior metrics.