Data Analyst

Key Responsibilities • Develop and maintain business reporting solutions & reports, providing clear, actionable insights to stakeholders across the company. • Conduct data analysis and present insights that drive decisions for product features and business strategy. • Design and execute A/B tests to evaluate product changes and optimize program performance. • Use SQL and Python (including libraries like Pandas and NumPy) to manipulate and analyze large datasets. • Collaborate with product managers, engineers, and other stakeholders to define data needs and deliver insights that improve business outcomes. • Identify trends, patterns, and opportunities through data and communicate findings in clear, accessible reports and presentations. Minimum Qualifications • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field. • Proven experience in business reporting and data analysis, ideally in a fast-paced environment. • Strong knowledge of SQL for data manipulation and reporting and Python for data analysis and automation • Hands-on experience building dashboards and visualizations with Tableau • Strong understanding of A/B testing and experimentation • Strong understanding of statistics and statistical analysis • Solid problem-solving skills and the ability to translate business needs into data-driven solutions. • Excellent communication skills, with the ability to present complex insights to both technical and non-technical audiences. • Business acumen with a focus on driving strategic decision-making through data insights. Bonus Qualifications • Experience working with cloud data platforms such as Snowflake or AWS. • Experience with experimentation or web analytics platforms (e.g.,Split.io, Heap). • Familiarity with data science concepts such as machine learning or predictive analytics.