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Data Analyst, Vendor Flex

Amazon

Data Analyst, Vendor Flex

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

Job summary
Amazon Worldwide Operations is the underlying fulfillment and customer service engine that ensures Amazon creates the same consistent, world-class customer experience every time. We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join our India Operations team.

In our effort to support this rapid growth around the world, we are looking for a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.
In this role, you will be responsible for data mining and data reporting activities pertaining to ops processes and speed. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights.
With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.

Key job responsibilities

  • Key job responsibilities
  • Driving critical metrics to monitor and optimize the business
  • Generating actionable Insights through Analysis of Key metrics across functions
  • Identify the root cause through deep analysis of data to reach a point where actionable solutions can be designed.
  • Track, measure and report various initiatives to improve defects leading to reimbursements and improve selling partner experience
  • Define, track Key metrics that need to be monitored to improve defects leading to reimbursements and improve selling partner experience
  • Devise mechanisms for control, performance monitoring, and reporting to internal stakeholders.
  • Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives,
  • Working cross-functionally with business teams to ensure development and implementation of programs as per timelines.
  • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
  • Developing basic scripts to process data to support business analysis, benchmarking, and optimization efforts

A day in the life
Day in the life
This role provides opportunities to influence high impact / high visibility projects within the organization. To perform your daily tasks, one requires high attention to details, proven ability to manage multiple and competing priorities simultaneously.

About the team
About the team
Analytics is responsible for providing analytics support to 3P carrier operations teams. The scope of this team includes shipment reconciliation and managing weekly/monthly review decks, formulating new metrics, provide visibility to operations on the daily performance through automated reports and dashboards, building optimization tools, building features in existing solutions and achieving parity with other geographies in terms of supply chain tools and features. This is done through our strong team of BIEs/BAs/Product managers and by liaising with local and global technology teams to get things done through influence and/or with their support. Our roadmap includes long term projects that have quarterly deadlines and sprint projects that are executed in biweekly sprints.

Basic Qualifications

  • 1+ years of data analytics or automation experience
  • 1+ years of capacity planning, operations planning, business analysis or similar experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred Qualifications

  • 2+ years of business analysis (dealing with large complex data) experience

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge