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 sits inside the company's digital and e-commerce organization and produces customer and user experience intelligence used across multiple business units.
The team is deep in qualitative research, journey management, and program management, and thin on rigorous quantification. That gap limits how far their recommendations travel in executive decision-making. This role closes it: sizing the moments that matter most in the customer journey, scoring opportunities, and establishing one evidence framework used consistently across the organizations the practice serves. Qualitative findings without a number attached are treated as directional — this role is what makes them fundable.
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
- Direct, plain communication skills
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.
