ADCI
Business Intelligence, Business Intel Engineer, operations
SeniorBusinessIntelligenceEngineer,AOP
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optimal for Senior candidates.
“Senior Business Intelligence Engineer, AOP at ADCI. Skills: Business Intelligence, Data Engineering, Analytics. Apply multi-domain/process expertise. Own end to end roadmap”
What You'll Achieve.
Increase visibility into data; Enable data driven decision making; Unearth insights from data; Drive process excellence
Industry & Context.
Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
10+ years of professional experience, 8+ years of SQL experience, Experience programming to extract, transform and clean large data sets, Experience with theory and practice of design of experiments and statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills
Nice to Have
Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership
What You'll Do.
Apply multi-domain/process expertise
Own end to end roadmap
Translate business problem statements into analysis requirements
Maintain high bar throughout execution
Define analytical review
Vet analytical approach with stakeholders
Proactively work with stakeholders to construct use cases
Construct standardized outputs
Write queries clients can update
Lead work with data engineering for automation
Have working knowledge of data available
Pull data using efficient query development
Pull data from multiple similar sources
Triangulate on data fidelity
Actively manage timeline and deliverables
Focus on interactions in the team
Provide program communications to stakeholders
Communicate roadblocks to stakeholders
Represent team on analytical projects
Effectively communicate across teams
Solve ambiguous analyses
Drive to the heart of the problem
Handle large data sets in analysis
Derive recommendations from analysis
Change existing processes
Understand basics of test and control
Provide insights through basic statistical measures
Identify and implement optimal communication mechanisms
How You'll Work.
Team & Collaboration
Work with stakeholders; Interactions in the team; Communicate across teams
Communication Scope
Program communications; Communicate complex analytical insights; Business implications
Process & Methodology
Roadmap planning
Full Job 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 would support the analytical requirements of the IN-ECCF Operations Analytics team. Candidate will be responsible for conducting deep dive analyses to solve complex business problems. He/ she will also be responsible for creating robust/automated reporting frameworks to increase visibility into data 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 excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE will also be a good stakeholder manager as he/she will have to work closely with Ops stakeholders. 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 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardiz
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