Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer experience? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for business intelligence engineer to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience.
If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
Design structured, multi-source data solutions to deliver the dashboards and reports that make data actionable
Drive the collection of new data and the refinement of existing data sources to continually improve data quality
Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery
Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Bachelors or Master’s Degree in Computer Science, Systems Analysis, or related field
3+ years’ experience in data modeling, ETL development, and Data Warehousing
3+ years’ experience with BI/DW/ETL projects.
Strong background in data relationships, modeling, and mining
Technical guru; SQL expert and God in one of these Python/ Spark/ Scala/ Tulia
Strong communication and data presentation skills
Strong problem solving ability
Experience working with large-scale data warehousing and analytics projects, including using AWS technologies – S3, EC2, Data-pipeline and other big data technologies.
Distributed programming experience is highly recommended
2+ years of industry experience in predictive modeling and analysis
Technically deep and business savvy enough to interface with all levels and disciplines within the organization.