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Insights Analyst

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Salary:

95 - 95K yearly

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

2-3 years of experience in market research, data analytics or similar roles, Bachelor's degree in Data Analysis, MIS or related field, 1 year of experience writing SQL queries (PostgreSQL preferred), Familiarity with APIs and data workflows, Basic exposure to Large Language Model architectures.

Key responsabilities:

Conduct analyses using advanced Natural Language Processing methodologies
Establish trust-based relationships and deliver critical insights to clients
Collaborate cross-functionally to leverage advanced data tools
Advocate for client needs with product and engineering teams
Prepare and troubleshoot large unstructured datasets for analysis

Quid SME https://www.quid.com/

201 - 500 Employees

See more Quid offers

Job description

Job Title: Insights Analyst
Compensation Range: $85-95K base + Bonus (Depending on Experience)

This role is remote anywhere in the US.
Become one of the change makers. At Quid, you won’t just be joining a team but contributing to a culture of innovation, where every challenge becomes an opportunity to learn and grow. When you join our team, you’re not just stepping into a job, you’re embracing a future where we lead the game with the unmatched advantage of foresight.

Position Overview
Analysts are critical independent contributors on the Insights Delivery team, and you should expect to be an immediate contributor on strategic projects. You will work across multiple project work streams, conducting analysis across a number of clients and verticals. You will establish trust-based relationships, serve senior executives with critical insights, and identify business development opportunities to expand Quid Products and Services into clients’ strategic processes.

Role Objectives

Perform analyses on Insights Delivery projects using some of Quid’s most advanced Natural Language Processing methodologies to provide actionable insights for Enterprise customers
Deliver analysis to customers, answer questions, and facilitate dialogue to ensure insights delivered are valuable to customers.
Work with highly technical customer teams to ensure the process and data transmission is understood and drives business value
Leverage Quid’s latest capabilities and methodologies (and test new ones) to add critical insights to senior client executives.
Build and maintain a trusted relationship with key clients, communicate effectively, and work towards solutions.
Collaborate cross functionally to test new approaches with unstructured data and leverage these advanced tools to transform data.
Identify and foster new ways for clients to leverage Quid to solve strategic questions.
Advocate client needs/issues to the product and engineering team to build an exceptional product
Opportunity to work full-time remotely within US time zone
5% potential travel to customer site

Requirements

2-3 years of experience in market research, consumer insights, data analytics, strategic consulting or similarly analytical roles
Bachelor's degree or its equivalent in Data Analysis, MIS, Data Science, or a related technical field
A minimum of 1 year of experience writing SQL queries (PostgreSQL preferred) and working with JSON, with the ability to query and troubleshoot raw data directly from the database in environments where dashboards are not in use.
Familiarity with working with APIs, particularly common structures like REST and SOAP, to integrate and retrieve data from various platforms and streamline data workflows
Successful team members show initiative, drive, passion for learning, and a curious mind
Familiarity with text analytics and social listening tools
Basic exposure to Large Language Model (LLM) architectures, with an understanding of foundational concepts such as transformer models, tokenization, embeddings.
Experience troubleshooting large unstructured datasets, including data cleaning and preparing data for analysis, with a preference for candidates who have worked with data science teams or retail sector data.
Proven ability to manage technical stakeholder teams against a defined project plan and timeline,
Proficiency in Excel and PowerPoint
The power to take initiative, communicate across teams, and solve problems creatively, both in teams and individually
Excellent communication skills and the ability to explain complex concepts in a clear and concise manner
Valid U.S. work authorization is required

Total Rewards!
We want to make sure our employees feel valued and taken care of. Come join us and see for yourself!

20 Days PTO
12 Holidays
Summer Half-Day Fridays
Company provided equipment.
401K with company match
FSA/HSA options
Paid Parental Leave & Reintegration Program
Employee Wellness Program for personal, financial, emotional, & legal support to help keep our team happy, healthy, and thriving.
Medical, Dental, Vision Coverage
4 Week (1 Month) Sabbatical after five years

Still Not Sure?
We understand many candidates tend to only apply for jobs if they meet every single requirement listed. However, if you happen to be genuinely enthusiastic about this particular position and feel confident in your ability to excel at it, we strongly urge you to submit your application! You might just be the perfect fit for this role, or even another exciting opportunity within our company.

Remote Work!
Remote-first; We're thrilled to say that we've been passionate about remote work since day one! Being remote is simply who we are. At Quid, we're all about connecting with people from all corners of the globe. Our team is made up of individuals who are comfortable working remotely and collaborating with others across different time zones. We’re looking forward to future growth and expansion, however, certain legal restrictions dictate that we are only able to accept candidates who possess eligibility to work in the United States of America.

ABOUT QUID
Our product suite uses advanced artificial intelligence to process billions of indexed resources across all forms of structured and unstructured data, empowering brand, agency, and consulting services customers to make smart, data-drive decisions accurately, quickly, and efficiently.