Data Analyst & Marketing Intern

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About ChoreRelief
ChoreRelief is designed for people like you, who are always on the go and too busy to do daily and tedious chores of house cleaning, landscaping, grocery shopping, and running errands. Because there’s more to life than work, work, work.
Managing our time and life in this current time has become an art form. We’re juggling family, business, and home responsibilities such as errands, cleaning and meal preparations; balancing them within the limited time we have. When you need a little help easing the burden of this juggling act, let ChoreRelief do the “juggling” for you


Conducts secondary research/internet searches on given industry topics Uses Search Engines tools to pull information.

Pulls industry information and industry contacts for use by analysts and project managers.

Conducts interviews with industry professionals to gather data and trend information.

Tests consumer and operator surveys for quality, routing, timing and ease of use.

Codes open-end responses from online survey data.

Assists R&I team members with data entry from field-research.

Summarizes information gathered through research .

Communicates with the group manager on an ongoing basis regarding workflow, timelines and schedule conflicts.


The Research Intern will work within ChoreRelief Research & Insights division, supporting both proprietary studies and syndicated research programs. The individual will coordinate research requests, conduct secondary research and information gathering, participate in both qualitative and quantitative research, and create written deliverables based on research findings.

Knowledge, Skills and Education Requirements
Able to communicate in a professional manner (both written and verbal)
Exhibits professionalism and attention to detail
Working knowledge of qualitative and quantitative research methodologies
Strong analytical skills
Experience with PowerPoint and Excel
Working towards Bachelor’s degree in marketing, economics, psychology, sociology, hospitality management or other business or social science fields
Culinary background or knowledge of foodservice or restaurant industry a plus
Experience with social listening data and tools also a plus


Required - Data Analysis, Data Acquisition, Search Analysis

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