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Data Collection Associate, V-CARE

Amazon

Data Collection Associate, V-CARE

Amazon

Arlington, VA, USA

·

On-site

·

Full-time

·

1w ago

Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads.

Key job responsibilities

  • Key job responsibilities
  • Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives
  • Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met
  • Support day-to-day operations of collection projects including reporting, moderating, etc
  • Own defined tasks within projects focused on improving parts of the data collection processes
  • Deliver high quality work under tight deadlines
  • Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes
  • Support several projects at one time and accept re-prioritization as required
  • Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed
  • Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role)
  • Lift up to 30lbs when needed

Basic Qualifications

  • Knowledge of Microsoft Office products and applications
  • A good sense of humor, a positive attitude and great team work skills
  • Reliable transportation

Preferred Qualifications

  • Experience in research or data collection
  • Experience using Confluence, Quip, Jira, Salesforce
  • End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting)
  • Experience moderating a 1:1 session with users independently in the field
  • Experience moderating sessions with users of different age and demographics is a big plus
  • Consumer electronic research experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, VA, Arlington - 15.00 - 21.00 USD hourly

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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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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