Data Analyst (Part-time)

About the Company : We are a silicon valley based company that is using AI to help businesses improve sales funnel conversions. We have a team of senior product leaders based out of Silicon Valley and India with proven experience in launching successful products. We provide a fast-paced environment, work on many exciting problem areas, opportunity to learn and grow and a very good pay based on performance. Responsibilities: - Take ownership of the analytics dashboard development workload. - Work with the Engineering team to improve, upgrade and manage the data schema. - Work with various functions such as ops, ads and products to provide them with necessary views for data analysis. - Continuously optimize and engineer the visualization data pipeline so that data is getting rendered without any lags or issues. - Handle data analysis ad-hoc activities. - Self manages the tasks and priorities on task management tools such as Jira. - Prompt communication to the team on the progress of the work. Requirements: ● Bachelors or Masters in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Computer Science with a prior background in Data modeling and analysis. ● 5+ years experience as a Data analyst. ● Strong logical and quantitative skills with affinity for mathematics. ● Able to implement ETL layers in analytics platforms and create suitable dashboards. ● Expertise with SQL programming and knowledge over Python, Linux and R environment is an added advantage. ● Knowledge over any BI tools like Chartio, Tableau etc is needed. ● Excellent written and verbal communication skills for both technical and non-technical audiences. ● The ability to work with minimal supervision and take complete ownership of the work. ● Prior experience working in a product development startup is a bonus. ● Ability to prioritize projects, communicate progress, keep feedback loops short, and deliver on time. ● Must be flexible and available to work with US teams on a few days in a month which might be late night India time.