Business Intelligence Engineer, AIM
4 weeks ago
The Automated Inventory Management team (AIM) within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems. The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and highly ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements.
Responsibilities include:
- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
-Partnering with global business, product, tech and finance teams to identify issues and build solutions
- Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
- Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
- Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms)
- Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
- Developing dashboards and insight products
- Fostering culture of continuous engineering improvement through mentoring, feedback, and metrics
Key job responsibilities
- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
-Partnering with business, product, supply chain and tech teams to identify issues and build solutions
- Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms)
- Developing dashboards and insight products
- Fostering culture of continuous engineering improvement through mentoring, feedback, and metrics
We are open to hiring candidates to work out of one of the following locations:
Bengaluru, KA, IND
BASIC QUALIFICATIONS
- - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- - Experience with data visualization using Tableau, Quicksight, or similar tools
- - Experience with data modeling, warehousing and building ETL pipelines
- - Experience in Statistical Analysis packages
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- - Experience with AWS solutions such as S3, and Redshift- - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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