Data Scanning Associate

RetailData LLC is hiring a Data Scanning Associate to join its on-site data collection team in Rensselaer, New York. The role centers on gathering store data using a company pricing app and completing assignments while stores are open. Training is provided to get you up to speed, and the work is framed around real store hours. This position is a solid fit for someone who likes hands-on field work, pays close attention to detail, and enjoys working in a retail environment. The job is full-time and on-site, based in Rensselaer. It appeals to dependable, capable individuals who can stay focused during long shifts, handle physical tasks such as standing for long periods, and lift up to 40 pounds as needed. The company emphasises a culture built on A.R.T, Accountability, Respect, Trust, and supports growth through development opportunities, with a casual dress code to match the day-to-day vibe. A practical note: this is described as an essential business role that values reliable performance in the field, and the setup includes training and ongoing opportunities to learn and advance.

Scanning the aisles for better data

As a Data Scanning Associate, you’ll begin with a structured training program that clarifies what’s expected and teaches you how to use the company’s pricing app to collect and log data. After training, you’ll visit assigned stores during their open hours, recording findings in the app and submitting completed work once it meets the project criteria. You may move between locations, and drive time along with mileage reimbursement are part of the package. Some projects require you to work in cooler store sections, so be prepared for cold temperatures.

Physically, the role requires you to stand for extended periods and lift up to 40 pounds intermittently. You’ll need to be reliable enough to start and finish assignments on time, keeping the detail level needed to satisfy the project criteria. The work blends travel, data entry, and field observation, all focused on collecting accurate information for each assignment.

What you need to start

• You must be at least 18 years old.
• You need a high school diploma or an equivalent credential.
• You must have a smartphone capable of running the company pricing app and receiving assignments.
• You must hold a valid driver’s license, have a clean driving record, reliable transportation, and valid auto insurance.
• You must be dependable to begin and complete assignments on schedule with careful attention to the project criteria.
• You must be able to stand for extended periods and lift up to 40 pounds intermittently.
• You must be willing to work in cold temperatures associated with grocery store refrigerators and freezers when required.

Nice-to-haves

There are no additional nice-to-haves listed in the posting.

Pay, benefits and practical details

You’ll start with a comprehensive initial training program to ensure you fully understand the expectations of the role. The compensation is productivity-based and includes a guaranteed minimum, with upside as you increase your aptitude and proficiency in completing projects for the company.

In addition, identity theft protection and a 401(k) with match are available for part-time team members, and there are optimized, flexible work schedules to support a healthy work-life balance. Drive time and mileage reimbursement are provided, and there are opportunities for employee learning and development. Dress is casual, and the employer states an equal employment opportunity commitment.

Tips for applicants

Put your must-haves up front on your resume. Lead with your age, education, and the fact you have a smartphone capable of running the pricing app, plus your valid driver’s license, clean driving record, and reliable transportation with auto insurance. If you can, mention that you’re comfortable with standing for long periods and lifting up to 40 pounds, as well as being able to work in cool store areas when required.

Show how you prove you meet the must-haves with concrete examples. Include a line about times you started and finished assignments on schedule, and any prior experience using a smartphone to complete field tasks or data collection. Highlight reliability and attention to detail in past roles or projects.

Be ready for the interview by framing your field experience and how you handle data collection on the go. Be prepared to discuss how you maintain accuracy while moving between locations and managing timelines, including periods spent in cooler areas of stores.

Ask a smart question that ties to this role’s specifics. For example, inquire about how the training program is structured, what growth paths look like as you gain proficiency, or how often routes and assignments change so you can plan your schedule effectively.