Business Intelligence Engineer I, FinOps FP&A

2 weeks ago

Bengaluru, Karnataka, India ADCI - Karnataka Full time

About the Organization:
Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington.

started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online.


About the role:


Amazon is looking for an outstanding Business Intelligence Engineer to join the FOAA's(Finance Operations, Accounting & Analysis) Production Planning Team.

Are you passionate about big data and analytics? Does working in one of the world's largest data environment excite you? Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? Rapidly increasing data volume and complexity makes this a constant challenge and therefore an exciting place to work in

The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers.

Moreover, a successful candidate will possess superb business judgment, is highly detail oriented, and is comfortable dealing with multiple priorities in a fast-paced environment.

Business Intelligence Engineers also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics.


Responsibilities include:

  • Simplify and automate reporting, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
  • Improve back-end data sources for increased accuracy and simplicity.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use.
  • Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
  • Support business with time-critical tactical data analyses.

KTLO activities include:

  • supporting the analyst community with efficient queries for data retrieval
  • addressing bugs identified in production tools/reports/
  • analyst education regarding data sources

Tools used include:

  • SQL, Python
  • ETL tools (internal)
  • Excel, VBA
  • Quicksight for visualization
Key job responsibilities
A Business Intelligence Engineer in this job is expected to:

  • create data pipelines where data is available but not easily accessible by the business analyst team
  • generate new KPIs to help solve business problems
  • build user friendly reporting solutions
  • analyze and clean data
A day in the life
Your day will be split between longer term project work and Keep The Lights On (KTLO) activities.

Project work is focused on:

  • continuous improvement projects targeted and increasing automation and reducing churn for the analysts we support
  • Report/Tool generation to meet new business needs
  • Data pipeline creation aimed at increasing analyst data access.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND

BASIC QUALIFICATIONS

  • Bachelor's Degree in Computer Science, Statistics, Finance, or in a similar field
Relevant experience in finance, business intelligence, engineering consulting or related highly-analytical field

Highly proficient in Structured Query Language (SQL)

Highly proficient in Microsoft Excel · Knowledge & experience using OLAP technologies and BI Analytics, hands-on experience building and managing data tables

PREFERRED QUALIFICATIONS

Experience with BI tools: OBIEE, SAP BW, Cognos, Business Objects, Hyperion, BPM, Tableau, Microstrategy

Experience designing and driving basic statistical analysis (distribution, hypothesis testing, etc.)

Japanese communication skills in workplace setting

Solid communication skills and team player

Experience leading small to medium sized process improvement projects

Strong organizational and multitasking skills with ability to balance competing priorities

Experience in a Manufacturing, Distribution Center or Logistics processes

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