BIE Manager, BI & Analytics Team

BIE Manager, BI & Analytics Team

Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide Analytical Capabilities to fulfil all customer processes in the IN-ECCF regions.
The Business intelligence engineer Manager would support the analytical requirements of the IN-ECCF Operations Analytics team. Candidate will be responsible for leading a team of BAs, BIEs, DEs to conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. They will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires exceptional managerial skills, statistical knowledge, superior analytical abilities, knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a stakeholder manager as they will have to work closely with senior Ops 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 attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.

Key job responsibilities

Responsibilities:
* Design, write, and drive detailed specifications for development and maintenance of robust reporting and other analytical systems
* Drive development of quantitative models necessary for evaluation and implementation of metrics
* Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
* Working with partner tech teams to deliver an integrated roadmap
* Managing a team of BAs, BIEs, DEs and Data Scientists to delivery roadmap projects while also delivering their personal learning goals and growth
* Building OP plans by working closely with senior leadership and stakeholders

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500
companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home,
there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations
on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional

Basic Qualifications

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL and ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Preferred Qualifications

- 4+ years of working with very large data warehousing environment experience
- Past Data Engineering experience is preferred.
- Knowledge of building production pipelines using AWS Services (such as NAWS, Lambda, Kinesis, Firehose, S3 etc.).
- 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT
- Experience in reporting/analytic tools and environments, data structures
- Hands-on SQL coding experience