Data Warehouse / Extract-Transform-Load / Business Intelligence Engineer Offline

Key Responsibilities:

— Define and build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms

— Be the voice of analytics, support in-depth business reviews, and present to senior management

— Discover areas of the customer experience that can be automated through machine learning

— Partner with Product Management teams to drive requirements for new products and integrate data during product development

— Be a thought leader on data systems, data mining and analysis to scale our capabilities, uncover trends and develop insights

— Develop a long-term business intelligence strategy/analytics/tools roadmap and self-service reporting capabilities, and drive the implementation end-to-end

Basic Requirements:

— Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master’s degree

— 4+ years of work experience in data analysis, applied statistics or econometrics

— 4+ years of experience with data querying languages SQL/PL SQL

— 4+ years of experience with large-scale data warehousing and analytics projects, modeling, ETL development

— 4+ years of experience with programming languages: Python/Java/Scala, or

— Experience with statistical/mathematical software R/Weka/SAS/Matlab, data extraction, manipulation, statistical analysis and predictive modeling

— Experience in projects involving cross-functional teams and leaders to build scalable processes and metrics

— Experience articulating business questions and using quantitative techniques to arrive at a solution using available data

— Experience building data products incrementally and integrating and managing datasets from multiple sources

— Experience with hardware provisioning, forecasting hardware usage, and managing to a budget

— Proven track record of sharing analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams

— Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective data strategy

— Nice to have: experience with DWH / ETL using Amazon Web Services technologies (DMS, Glue, Redshift, Athena etc).

Additional Details:

— Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.

— Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data

— Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

— Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences

— Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

— Experience with data visualization software such as Tableau