Quantitative Research Specialist

Location:

Hybrid in Dearborn, MI- 4 days onsite. Seeking a research specialist to join our digital product team. This person will play a crucial role in translating our digital product NPS scores into actionable insights that continuously improve our products. They should be passionate about team collaboration, maintaining an extremely high standard for data integrity, and delivering high-confidence metrics that drive better product decisions and customer experiences.

OVERVIEW

The Digital Product Research Team is seeking a lead Quantitative Research Specialist who is highly analytical and operationally minded to scale our NPS program. We are looking for an expert who has maintained similar processes for reporting metrics to all levels of leadership in an enterprise. You will partner closely with our internal teams on the "How, What, and Why" of this program. Ultimately, your goal is to build a streamlined, automated research engine that our internal teams can easily maintain and expand upon contract completion.

RESPONSIBILITIES

Process Automation & Scaling:

Implement automated and repeatable data processing that easily and efficiently scales for current and future digital products.

Quantitative Leadership:

Oversee the collection, cleaning, and synthesis of NPS and UMUX-Lite data. Reduce the margin of error by successfully scaling Q2 data collection.

Data Pipeline Management:

Manage complex data sets (experience with Excel queries and formulas, R, Python, or advanced SQL preferred) to ensure scores are rigorously vetted, verified, and free of collection bias.

Cross-Functional Alignment:

Act as the quantitative liaison between D&R, the Quality team (Medallia), and DPD Research (CSAT) to ensure data taxonomies align and leadership receives a unified "Source of Truth."

Executive Reporting:

Translate raw data into highly confident, executive-ready dashboards and reports. These metrics will directly influence product roadmaps and executive decision-making.

ResearchOps Handoff:

Document all workflows, scripts, and methodologies to ensure a seamless transition of the automated system back to the internal D&R team at the end of the contract.

Executive Decision Making:

Requires self-starter mentality with minimal supervision in a fast-paced environment.

BASIC QUALIFICATIONS

Bachelors degree. Proven track record of establishing and scaling enterprise-level NPS, CSAT, or UMUX-Lite measurement programs. Analytical mindset with a quick adaptability to learn new technologies. Strong technical proficiency in survey platforms and data analysis/visualization tools. Experience building automated tracking and reporting dashboards. Ability to thrive in an Agile environment and translate complex statistical data into clear, actionable business metrics. Proven track record of goal achievement in a fast-paced environment with aggressive timelines.

PREFERRED QUALIFICATIONS

MBA or equivalent 5+ years of experience in Quantitative UX Research, Research Operations, or Data Science within a product-driven environment. Seniority Level Mid-Senior level Industry Staffing and Recruiting Employment Type Full-time Job Functions Information Technology Skills Scalability Python (Programming Language) R (Programming Language) SQL User Experience (UX) Customer Satisfaction (CSAT) Qualitative & Quantitative Research Methodologies Excel #LI-BP1