Quantitative-Insights-Analyst

UXr Guild; Northern (KY); Hybrid; USD 88,000 - 118,000; Full time

Job summary

UX Researchers' Guild is seeking a Quantitative Insights Analyst for a 6-month contract, remote in the US. Senior level with 5+ years of experience; compensation at $75/hr as an Independent Contractor based in the US.

The role embeds within a customer experience insights practice at a large software company, focusing on turning qualitative findings into quantified decisions and measurable impact across journeys and personas.

Qualifications

• 5+ years in quantitative research, product analytics, insights analytics, or a comparable applied analysis role.
• Demonstrated experience translating mixed qualitative and quantitative evidence into recommendations that leadership acted on.
• Strong working knowledge of AI tools and workflows.
• SQL and at least one analysis environment such as Python or R.
• Experience with survey design and analysis, including sampling, weighting, and honest treatment of uncertainty.
• Familiarity with experience measurement constructs including NPS, CES, CSAT, and funnel and retention analysis.
• Ability to build clear data views and dashboards for non-technical audiences.
• Comfort operating in a federated environment where data ownership is distributed and no single source is authoritative.

Responsibilities

• Opportunity sizing and business impact: Size key customer journey moments in terms of addressable volume, revenue exposure, and effort reduction.
• Produce business-impact assessments for research and design recommendations that hold up under Finance and leadership scrutiny.
• Score and rank opportunities against a consistent framework for cross-vertical prioritization.
• Prepare quantified inputs for senior leadership decision forums.
• Journey performance measurement: Build KPI frameworks for critical journeys and tie to CES, NPS, funnel, retention.
• Develop persona-level and segment-level insight models.
• Support in-production experience monitoring by turning signals into interpretable trends.
• Evidence and AI infrastructure: Establish a single integrated evidence repository with traceability.
• Maintain AI workflows, data pulls, and dashboard inputs; prepare clean data views for leadership readouts.
• Build data views usable by AI retrieval workflows in partnership with AI insights lead.
• Survey and VoC analytics: Design and analyze validation surveys; analyze NPS, CES, VoC data.
• Partner with the Voice of Customer team to analyze data at journey, persona, segment levels.
• Apply appropriate statistical treatment and state confidence and limitations plainly.

Skills

Quantitative research

Insights analytics

AI tools workflows

SQL

Python or R

Survey design

NPS CES CSAT

Dashboarding

Data storytelling

Tools

Snowflake

Qualtrics

FullStory

Job description

Quantitative Insights Analyst – Contract

Length: 6-month contract, full-time, 30-40 hrs./wk.
Location/time zone: Remote, US-based
Level: Senior, 5+ years
Compensation: $75/hr
Status: Independent Contractor based in the US

About the Engagement

This is a quantitative insights role embedded within a customer experience insights practice at a large software company. The practice has deep expertise in qualitative research and journey management, and is now building out rigorous quantification so its recommendations carry further in executive decision-making.

The scope centers on putting numbers behind experience findings — sizing customer journey moments in terms of customer volume, revenue exposure, and effort reduction, and building the measurement frameworks that make prioritization comparable across the organizations the practice serves. Quantifying a qualitative finding is what turns it into a funded decision, and that is the core contribution of this role.

Responsibilities

Opportunity sizing and business impact

• Size key customer journey moments, friction points, opportunities, and solutions in terms of addressable customer volume, revenue exposure, and effort reduction
• Produce business-impact assessments for research and design recommendations that hold up under Finance and leadership scrutiny
• Score and rank opportunities against a consistent, documented framework so prioritization is comparable across verticals and personas
• Prepare quantified inputs for senior leadership decision forums

Journey performance measurement

• Build and maintain journey performance scorecards and KPI frameworks for critical customer and growth journeys
• Connect qualitative findings to measurable signals including CES, NPS, behavioral friction, funnel performance, conversion, retention, and customer effort
• Develop persona-level and segment-level insight models
• Support in-production experience monitoring by turning behavioral signal into interpretable trend rather than raw telemetry

Evidence and AI infrastructure

• Establish and maintain a single integrated evidence repository, so a claim in a readout can be traced back to its source without reconstruction
• Maintain traceability from source evidence to recommendation to business impact across active workstreams
• Maintain and improve recurring AI workflows, automations, data pulls, survey cuts, and dashboard inputs
• Prepare clean, self-explanatory data views for stakeholder readouts and leadership decisions
• Build data views usable by AI retrieval workflows, in partnership with the team's AI insights lead

Survey and VoC analytics

• Design and analyze validation surveys that test hypotheses emerging from qualitative research
• Partner with the Voice of Customer team to analyze NPS, CES, and VoC data at journey, persona, and segment level
• Apply appropriate statistical treatment and state confidence and limitations plainly, including sample size, sampling frame, and instrument

Partnership and enablement

• Partner with researchers, service designers, and journey owners so recommendations are supported, defensible, and prioritized
• Work with analytics and data engineering counterparts to specify what the governed data substrate needs to deliver
• Coach the wider practice on quantitative reasoning, so basic sizing and signal interpretation do not always require this role

Minimum Qualifications

• 5+ years in quantitative research, product analytics, insights analytics, or a comparable applied analysis role
• Demonstrated experience translating mixed qualitative and quantitative evidence into recommendations that leadership acted on
• Strong working knowledge of AI tools and workflows
• SQL and at least one analysis environment such as Python or R
• Experience with survey design and analysis, including sampling, weighting, and honest treatment of uncertainty
• Familiarity with experience measurement constructs including NPS, CES, CSAT, and funnel and retention analysis
• Ability to build clear data views and dashboards for non-technical audiences
• Comfort operating in a federated environment where data ownership is distributed and no single source is authoritative

Preferred Qualifications

• Experience with journey management practice or journey analytics, ideally with a journey platform such as TheyDo
• Exposure to Snowflake or a comparable enterprise data warehouse, and to a semantic or metrics layer
• Experience with behavioral analytics tooling such as FullStory, and with survey platforms such as Qualtrics
• Background in SaaS or subscription business measurement, including ARR, conversion, and expansion mechanics
• Familiarity with causal inference methods and with the limits of observational data
• Experience contributing to AI-assisted or retrieval-grounded analysis workflows

Environment and Tooling

The role operates across a journey management platform as system of record, an enterprise data warehouse as the evidence store, a qualitative research repository, a survey platform, a behavioral analytics tool, and standard enterprise documentation tools. MCP-based integration across these systems is in development, and this role is a primary consumer and specifier of that fabric.

Contract offered through the UX Researchers' Guild: https://uxrguild.com.
If you are selected, company information will be provided for you to decide whether to be submitted for the role.