Job Description

We are looking for a Senior Business Analyst to support intelligence reporting for our global Retail Services Finance team. This rapidly growing team serves a vital role in Amazon’s commitment to offering customers the best product selection, top notch customer experience and the lowest possible prices through global management of photo and imaging studios, creative services, retail business services, and competitive intelligence.

You will own a key role delivering financial and operational analyses, surfacing opportunities to reduce cost and innovate, manage projects, improve processes and help take the business and the finance team to the next level. As a member of this team, you will leverage strong data extraction skills to drive worldwide reporting deliverables, engineer ad hoc financial analysis, support business planning and implement ideas for process improvement. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards.

Duties will include:

– Building and improving existing finance processes to ensure data integrity and efficient analyses

– Support the development of continuously-evolving automated forecast models and methodologies, owning the quantitative analysis of the performance

– Manage and develop scalable financial tools or reports that align, and simplify, monthly business reviews, annual planning, and forecasting processes

– Sourcing, analyzing, and reporting quantitative data; perform ad hoc analyses

– Analyzing trends, formulating projections, and evaluating savings initiatives

– Assist in developing monthly/quarterly financial reporting (actual and forecast) and annual budgeting

– Provide fact-based insights into variances and trends

– Presentation of findings and recommendations to Senior Leaders

 

The ideal candidate will demonstrate the following abilities and characteristics:

– Be highly analytical and detail oriented

– Quickly build credibility and trust with internal customers

– Demonstrate work ethic based on a strong desire to exceed expectations

– Strong leadership, communication, and persuasion skills

– Advanced communication skills, both verbal and written

– Building scalable financial processes and metrics by working with functional leaders and other finance functions

– Developing new ideas and creative solutions

– Successful in an ambiguous environment

– Comfortable with tight deadlines and prioritize workload

– Work regularly with remote teams

– Work on cross-functional teams

– Focus on customers and work backwards

 

Basic Qualifications

– 5+ years of financial analysis, based on large volumes of data

– Experience with SQL, PostgreSQL, Oracle, Cognos and SharePoint

– Proficiency in statistical modeling (ideally using R or Python Pandas)

– BS/BA degree in a quantitative field (Mathematics, Engineering, Sciences, Operations Research)

– Ability to consistently meet deadlines, and provide well-vetted reporting and business recommendations

– Experience communicating results to business leaders

– Motivated self-starter, proactive and action-oriented, requiring limited supervision

 

Preferred Qualifications

– Advanced problem-solving skills for difficult and complex issues

– Highly organized and detail focused, have multi-tasking skills, and efficient in ambiguous situations owning full cycle software development / change efforts

– MBA or advanced degree in a quantitative field preferred

– Experience designing simulation and optimization models in for business decisions (e.g., staff scheduling, vehicle routing, and facility location) and/or feedback and/or predictive control

 

How to Apply

you can apply on our careers page by clicking here or by emailing me directly at [email protected]  

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Job Tags: Cognos, oracle, PostgresSQL, python, r, and SQL. Salaries: More than $100,000.

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