Operations Technology Solutions- DataTech Team is looking for an technically astute analytical data manager to join our team and deliver on behalf of our customers. This position will be responsible for realizing business value from the use of statistical methods to gather, review, and interpret data to solve real-business problems. They will collaborate with cross functional teams and partner with data leaders to drive and deliver business value for OTS across the globe. This leader will have a primary focus in the EMEA/APAC/INIDA regions leading team members across the globe.
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
Candidate will be responsible for leading a team of BIEs partnering with the central engineering team and business stakeholders and conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. He/she will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. This position requires exceptional managerial skills, excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions.The BIE Manager will also be a good stakeholder manager as he/she will have to work closely with senior stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.
Key job responsibilities
• Supporting OTS Data as a Product data strategy and building solutions tailored for our customers needs through data.
• Define and utilize statistical methods to solve OTS business and industry specific problems
• Research problems and identify the data required to answer specific questions, identifying trends and inter-relations in data
• Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry
• Compare provided statistical information to identify patterns, relationships and problems
• Prepare detailed reports for management and other departments by analyzing and interpreting data, communicating findings to OTS business partners and stakeholders
• Train the analytical team how to properly organize findings and read data collected
• Help influence OTS Wide Data strategy and business partners.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
DataTech is a centralized organization with OTS under the FTR umbrella. DataTech provides data solutions for OTS like OTS Data Marketplace that is part of the Data as a Product(DaaP) data strategy.
BASIC QUALIFICATIONS- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- Business intelligence and analytics experience
- Experience delivering results managing a business intelligence or analytics team, including employee development and performance management
PREFERRED QUALIFICATIONS- Experience working with very large data warehousing environment
- Data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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