Help leadership develop new and existing analytical work products including identifying project deliverables and timelines, defining the business problem, generating hypotheses, developing the analytic methodology, summarizing findings, compiling business recommendations and presenting findings to leadership team
Develop data visualizations and BI (Business Intelligence) dashboards (including self-service BI for non-technical colleagues) by leveraging software development life cycle for designing new analytical models, data marts, reports, and dashboards
Collaborate 3+ Years of relevant work experience (Business Intelligence tools, Data Analysis) and Preferred Prior experience with Looker
Minimum 1 year of hands-on experience required in looker
Play crucial role in implementing, improving, and maintaining Looker based solutions
Design and develop scalable turnkey ETL pipelines
Be responsible for maintaining security and data access models within Looker
Create data model for BI/Analytics needs that will help the customer answer business questions for identified use case
Assist with design and build of scalable/reusable data models and ETL (Extract Transform Load) processes to support analysis and reporting on platforms like Teradata, SQL Server, Oracle, Hadoop, performing routine maintenance, and address special requests
Conduct appropriate testing of analytic solutions to ensure results are consistent with business requirements or defined needs
Qualifications
Master's or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
3-5 years of experience in business intelligence solution creation within analytics or strategy function and an entrepreneurial, hands-on approach
In depth knowledge of Looker & Google Cloud Platform strongly preferred
Experience with Apache Airflow is a major plus
Solid understanding and hands-on experience with SAS, SQL, Python, R, Tableau and/or other data, statistical, and data visualization tools (Tableau, Power BI, Qlikview, etc.) and techniques, and ability to investigate and adapt emerging analytic tools and solutions into the analytic standard operating procedures
Preferred domain expertise in Sports, Media & Entertainment
Prior experience in management consulting and/or analytics based consulting is desirable