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Customer Insights Analyst

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PAY: 33/hr.
3 month contract on-site at client location

**Please note that candidates should be prepared to start ASAP.**

Customer Insights Analyst
40-hours a week
70% research execution, analysis and reporting
30% project management and CI-related infrastructure tasks (e.g., building a wiki of customer and marketplace knowledge, handling contracts, documenting ongoing changes to the product surveys, etc.)

Description:
Nest is looking for a talented and hands-on Customer Insights Analyst to join the Business Analytics Team. The ideal candidate is insanely curious about consumer motivation and behavior and is technically adept to collect and analyze the right information to satiate that curiosity.

This is a generalist role, so the Analyst must have a broad acumen of modern research methodologies. Studies may include satisfaction trackers, AAUs, concept testing, message testing, packaging and out-of-box research, shop-alongs, website usability, and video diaries.

Top Responsibilities:
1. Under the guidance of the Head of Customer Insights, the Customer Insights Analyst will execute customer research studies to drive the business with sound, customer-centric recommendations.
2. He or she will be responsible for all aspects of the research project: sample design, writing and programming surveys, field and project management, data cleaning and analysis, and report preparation.
3. Although the majority of the data used for each study will come from marketing research studies, the Analyst should be comfortable using data from other sources like syndicated research, SQL databases, web traffic, and trends to tell a complete story.

Required Qualifications:
Bachelor’s degree in marketing, business, psychology, or statistics
2+ years of primary marketing research experience, preferably supplier side
Hands-on experience managing quantitative and qualitative marketing research projects from start to finish, including design, fielding, analysis, and reporting
Deep understanding of consumer behavior concepts (e.g., behavioral economics, funnel diagnostics, consumer decision making models, etc.)
Strong mastery of inferential and descriptive statistics
Ability to visualize complex data and ideas and in concise and compelling ways using tools like Google Slides, Powerpoint, Tableau, and Illustrator.
Equally good at writing and math, creativity and analysis, and big pictures and small details

Nice to have:
A mix of supplier-side and client-side research experience
Experience in the tech, retail, energy, or security industry
Advanced SPSS, R, Tableau, and/or SQL skills
Experience programming surveys in Qualtrics, Confirmit, Sawtooth, etc.
Understanding of advanced analytical techniques like TURF, conjoint, key driver analysis

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