The ideal candidate will have experience working with large datasets and distributed computing technologies. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, is passionate about data and analytics. He/she should be an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data analysis & engineering. He/she should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.

Key job responsibilities
This role primarily focuses on deep-dives, creating dashboards for the business, working with different teams to develop and track metrics and bridges.

Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
In-depth research of drivers of the Operations teams
Analyze key metrics to uncover trends and root causes of issues
Suggest and build new metrics and analysis that enable better perspective on business
Capture the right metrics to influence stakeholders and measure success
Develop domain expertise and apply to operational problems to find solution
Work across teams with different stakeholders to prioritize and deliver data and reporting
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Maintain BI architecture including our AWS account, database and various analytics tools.