ADCI HYD 13 SEZ
Technology
BIEngineerII,DataAnalytics,GlobalDataAnalytics(GDA)
Neural analysis suggests this role is
optimal for Mid candidates.
“BI Engineer II, Data Analytics, Global Data Analytics (GDA) at ADCI HYD 13 SEZ. Skills: Business Intelligence, Data Analytics, AI-assisted insights. Partner with Finance Operations leaders. Frame business problems”
What You'll Achieve.
Deliver analytics that drive decisions; Automate repetitive analyst tasks; Improve efficiency
Industry & Context.
Translate ambiguous business problems; Answer business questions with data
What They're Looking For.
Must Have
5+ years analyzing data with Redshift, Oracle, NoSQL, 5+ years Tableau Desktop, Quicksight or visualization software, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience writing complex SQL queries, Experience using SQL to pull data, Scripting experience (Python) to process data
Nice to Have
Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field, Experience in data mining, Experience in ETL, Experience using databases in a business environment with large-scale, complex datasets
What You'll Do.
Partner with Finance Operations leaders
Frame business problems
Deliver analytics that drive decisions
Own the insight layer end-to-end
Build Amazon QuickSight dashboards
Maintain Amazon QuickSight dashboards
Design AI-assisted analytics experiences
Ship AI-assisted analytics experiences
Build self-serve analytics products
Define metric definitions
Enforce metric definitions
Provide technical input on upstream data models
Identify automation opportunities
Apply AI to reduce manual effort
Apply AI to improve quality
Measure efficiency gains
How You'll Work.
Team & Collaboration
Partner with Finance Operations leaders; Partner with process owners; Work with Data Engineering peers; Work with Data Science peers
Communication Scope
Business presentations
Full Job Description
Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Accounts Payable departments through advanced data capabilities and near real-time, actionable insights. Global Data Analytics (GDA) is the trusted analytics partner for Finance Operations, delivering data-driven solutions across global service centers and functions. We are looking for an exceptional Business Intelligence Engineer to own a high-visibility area within GDA. You will be a deeply analytical, business-obsessed BIE who translates ambiguous business problems into crisp analytical questions, answers them with data, and turns the answers into decisions. You will build dashboards, self-serve analytics, and AI-assisted insight products that are consumed by Finance Operations leaders across geographies. This is a role for someone who wants to sit close to the business, influence outcomes, and use AI as a force multiplier on traditional analytics. Key job responsibilities - Partner with Finance Operations leaders and process owners to frame business problems, define the right metrics, and deliver analytics that drive decisions. - Own the insight layer end-to-end: write advanced SQL against curated Finance Operations data, build and maintain Amazon QuickSight dashboards. - Design and ship AI-assisted analytics experiences, for example, natural-language Q&A over curated metrics, LLM-generated narratives for business reviews, anomaly summaries, and agentic workflows that automate repetitive analyst tasks. - Build self-serve analytics products so that business teams can answer their own "what" and "why" questions without a ticket queue, using Amazon's internal GenAI tooling (Amazon Quick or Bedrock-backed assistants) layered on top of governed data. - Define and enforce metric definitions as a custodian of the "single source of truth" in partnership with Data Engineering; provide technical input on upstream data models without owning the pipelines. - I
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