Jobs
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, WA, Bellevue - 20.00 - 22.00 USD hourly
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About Amazon

Amazon
PublicAmazon.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
$1.5T
Valuation
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
4 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0 reports
$181,968
total per year
Base
-
Stock
-
Bonus
-
$154,672
$209,264
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
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