Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon Manager BIE in Bengaluru, India

Description

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. He/she 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, excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a good stakeholder manager as he/she 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 strong 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

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND

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

  • Experience with 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

  • 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

  • Past Data Engineering experience is preferred. Knowledge of building production pipelines using AWS Services (such as NAWS, Lambda, Kinesis, Firehose, S3 etc.).

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