Amazon

DESCRIPTION

Business Intelligence Engineer at Ring AI Data Management to support the team in creating insights, dashboards and reports that help leadership to make data-driven decisions in the area of business process automation and workforce performance management. This person will create self-service dashboards and work closely with data engineers on reporting automation.

Key job responsibilities

• Use data to create insights to Ring AI Data Management leaders which include detailed business analysis, outlining problems, opportunities and solutions recommendations.
• Write compelling narratives to share data stories to stakeholders and equip them to make informed decisions and future plans.
• Provide data for weekly and monthly business reviews, which includes business process optimisation indicators, workforce performance indicators, capacity planning recommendations.
• Take a proactive approach to defining new metrics, reports, and dashboards.
• Develop self-service dashboards using Tableau, Quicksight.
• Browse available data sources in order to understand the business processes and enhance analytics events logging.
• Work closely with the data engineering team to design, execute and maintain reporting modules, lead automation of recurring reports.

A day in the life

The successful candidate will be on the lookout for ways to optimize the information flow process, superior communications skills and the ability to deliver analysis in a clear and actionable format, analytical ability and technical skills to come up with data-driven proposals on ways how to optimize employee’s efficiency.

About the team

The Ring AI Data Management team owns tools and services for Ring's growing ML-based Research & Development needs. The portfolio of services managed by the team comprises of centralized R&D data ingestion, aggregation and building standardized data models for the performance management. We collaborate in teams dedicated to customer needs. We lean towards bias for action and quick data-driven decision making.

BASIC QUALIFICATIONS

• Experience analyzing and interpreting data with relational databases
• Experience with writing complex SQL queries
• Experience with data modelling, warehousing and designing ETL pipelines
• Experience using scripting languages Python, Java Script in order to process data for modelling
• Experience with AWS, including Redshift, S3, Athena.
• Experience in statistical and root cause analysis techniques
• Experience with data visualization using Tableau, QuickSight, or similar tools

PREFERRED QUALIFICATIONS

• Proficient in handling big data volumes, composition of advanced SQL and query performance tuning skills.
• Experience in data mining in a business environment with large-scale, complex datasets.
• Experience in workforce performance management or business process automation analysis or system analysis would be a plus.

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