Business Intelligence Engineer - Business Intelligence Engineer V

Job Description :

Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made Earth's most customer-centric company.

This would not be possible without the tools and expertise we use to understand customer behavior. The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science.

We provide the key insight into customer behavior necessary to guide the evolution of business strategy.

You will be helping Ads Client the data foundation for internal readiness tracking across a diverse range of stakeholders.

You will meet with business owners to formulate key questions, leverage existing data to extract and analyze relevant findings, and present your findings and recommendations to management in a way that is actionable.

If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity by helping build an accurate and resilient data foundation.

We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key Responsibilities :

• Evaluate current data architecture and assess how we can make reporting digestible and self-serve for customers
• Statistical testing of how to best drive user adoption
• Design, build and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussions

Job Qualifications :

• years of experience working with large-scale complex datasets
• Experience laying the foundational data requirements necessary to stand up a business for scale
• Ability to communicate business needs to engineers to support to delivery of scalable data systems
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL
• Background (academic or professional) in statistics, programming, and marketing
• Excellent communication skills, equally adept at working with engineers as well as business leaders.

Top must have hard skills :

Large-scale complex datasets

Excel, SQL

Design mind mapping Data