Senior Quantitative Insights Analyst - Remote Contract

UXr Guild

Northern (KY)

Hybrid

USD 88,000 - 118,000

Full time

11 days ago

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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.