Collect, clean, and analyze large volumes of structured and unstructured data from multiple sources. Design and maintain dashboards and reports using tools such as Tableau, Power BI, or Looker to visualize key business metrics. Partner with product and engineering teams to define data requirements, implement tracking frameworks, and ensure data accuracy. Conduct ad-hoc analyses to support business decisions, including A/B testing evaluation, user behavior analysis, and performance benchmarking. Develop and automate data pipelines using SQL, Python, or other scripting languages to improve data accessibility and efficiency. Monitor data quality and integrity; identify anomalies and implement corrective measures. Translate business questions into data queries and deliver clear, concise insights to stakeholders at all levels. Stay current with industry trends in data analytics, machine learning, and data visualization tools. Requirements Bachelors degree in Computer Science, Statistics, Ma...