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Data Specialist LMS and L&D, GSF Learning and Development

Amazon

Data Specialist LMS and L&D, GSF Learning and Development

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

Required Skills

Excel

The Learning and Development Team seeks a dedicated Data Specialist to join our dynamic, analytics-focused environment. In this role, you will serve as the primary data expert responsible for transforming LMS data into actionable insights to enhance training effectiveness.
As a Data Specialist, you will collaborate with diverse stakeholders to understand data requirements, perform comprehensive analysis of learning metrics, and create compelling reports that inform strategic decisions.

  • Key job responsibilities
  • Design, develop, and maintain comprehensive reporting solutions using Learning Management System (LMS) data
  • Extract, transform, and analyze large datasets to identify learning trends, completion rates, and training effectiveness metrics
  • Create automated dashboards and recurring reports that provide real-time visibility into learning program performance
  • Develop ad-hoc analytical reports to support strategic initiatives and operational decision-making
  • Partner with Learning and Development teams, training managers, and business leaders to understand analytical requirements
  • Translate complex data findings into clear, actionable recommendations for non-technical audiences
  • Identify opportunities to enhance LMS reporting capabilities and data collection processes
  • Thrive in ambiguous situations by quickly adapting to evolving priorities and finding solutions with limited guidance.
  • Implement data quality controls and validation processes to ensure accuracy and reliability
  • Perform root cause analysis on data discrepancies and resolve technical issues
  • Document analytical processes and create user guides for reporting tools

About the team
The Learning and Development team is dedicated to designing evidence-based training programs that follow adult learning principles to maximize knowledge retention and minimize cognitive overload. We focus on delivering comprehensive learning experiences including onboarding programs, refresher trainings, assessments and continuous development initiatives that directly impact organizational effectiveness and employee growth.

Basic Qualifications

  • Experience with written and verbal communication and presentation
  • Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook)

Preferred Qualifications

  • Knowledge of Excel skills to be able to refine data and prepare business reports

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