Develop a strong understanding of video-on-demand data warehouse and pipeline in order to provide the right data to business users.
Build reports, ad-hoc queries and dashboards as needed by the organization in order to monitor business health and deep dive into data to solve business problems.
Be a driver of action within the team to identify valuable business insights to further grow our operations.
Build internal report via BI tools and automated process (E.g. PowerBI, Tableau ... ) to reduce time spent by the team to solve ad-hoc requests.
Be a trusted business advisor to the business and technology in terms of how to use data in the most effective manner to solve problems, and not just being reactive to requests.
You should have a keen eye for patterns in data. You should engage in hypothesis driven problem solving & build processes / tooling that makes it easy for your teammates to do the same.
You should be able to suggest A / B tests and experimentation for product features, analyse how the key metrics respond and evaluate, whether to increase exposure or stop the experiment.
You will engage and partner with various teams in product and business to conduct research and gather information from various sources and tools.
You have 1+ years of experience administering data analysis tools such as QlikSense, Tableau, PowerBI, Google Analytics, Facebook Analytics, etc
Experience in start-ups or ecommerce is a plus. You enjoy working in a startup and are able to adapt to changing business needs
Strong quantitative ability, problem solving and excellent analysis skills.
Experience with data modelling, data processing / ETL implementation, and supporting data warehouses (E.g. Redshift, BigQuery, etc) is a plus
Strong understanding and implementation of predictive / analytical modelling techniques (SQL, R, and Python), theories, principles, and practices is a plus.
You are a quick learner with regards to both new businesses and technologies