Product Analyst (AI & UX Optimization)

Afficiency; York and North Yorkshire; On-site; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Hybrid work arrangement

Health, dental, vision benefits

401k matching

Generous PTO

WFH equipment stipend

Career learning environment

Job summary

Afficiency is seeking a hybrid analyst–builder to dig into usage data, identify friction, and prototype fixes using AI tools like Claude. You’ll move from findings to shipped improvements, collaborating with product, engineering, and underwriting teams to drive measurable impact.

Expect around 2+ years in analytics or product-adjacent roles, with experience in product analytics tools or SQL. A willingness to learn and ship is essential for success in a fast-paced environment.

Qualifications

• 2+ years of business, analyst, operations or product-adjacent work experience.
• Experience with product analytics tools (session replay / funnel analytics) or SQL.
• Hands-on experience using AI tools to build workflows, automations or prototypes.

Responsibilities

• Own ongoing review of product and UX journeys to identify friction and drop-offs.
• Dig into usage data (sessions, support tickets, funnels) to surface root causes.
• Turn findings into prioritized, business-impactful recommendations.
• Prototype or implement fixes using AI tools and collaborate with teams to ship them.
• Partner with product, engineering and underwriting to scope and ship changes.
• Measure changes and iterate based on results.

Skills

Analytical mindset

Communication skills

Problem solving

AI tooling

SQL knowledge

Tools

SQL

Job description

• This is a hybrid analyst/builder role
• You’ll spend part of your time in our products and UX flows like a detective — reading session recordings, walking through application journeys yourself, digging into support tickets and drop-off points — to find where users get confused, stuck, or frustrated
• Then, instead of stopping at a slide deck of recommendations, you’ll use AI tools (Claude and others) to prototype and ship the fix yourself, or work directly with the team that can
• A year in, success looks like a track record of real, shipped improvements you identified, scoped, and drove to completion — not a backlog of tickets someone else implemented
• Own the ongoing review of Afficiency’s product and UX/UI journeys — application flows, agent tools, and consumer-facing experiences — to identify friction, confusion, and drop-off points
• Dig into real usage data: session recordings, support tickets, underwriting outcomes, and conversion funnels, to find where the product isn’t working the way it should
• Turn findings into concrete, prioritized recommendations grounded in business impact, not just “this feels off.”
• Use AI tools such as Claude to prototype, build, or directly implement fixes — copy changes, flow adjustments, small tooling, automation, or reports — rather than only handing off findings
• Partner with product, engineering, and underwriting stakeholders to scope and ship changes, escalating and collaborating when something needs deeper technical work
• Build a repeatable habit of measuring whether a change actually worked, and iterating when it didn’t
• Bring plain business judgment to the table: does this make sense, would a real customer understand this, is this worth fixing now or later

Benefits

• Hybrid work arrangement
• Robust health, dental, and vision benefits for employee and dependents
• 401k matching contributions
• Generous PTO policy
• Stipend to purchase work-from-home equipment
• Environment to learn from other team members, grow a business from the ground up
• Support in developing your skills and accelerating your career quickly

Real ownership instinct: when you find a problem, your instinct is “let me go fix this,” not “let me go tell someone.”A genuinely analytical mind: you notice when something doesn’t add up, and you dig until you understand whyClear written and verbal communication — you can explain what’s broken and why it matters to both technical and non-technical peopleComfort learning and using AI tools (like Claude) as a working tool to move faster on analysis and execution — no coding background required, just curiosity and a willingness to figure it outCandidates not currently living in the NY tri-state area will not be consideredStrong common sense and business judgment about how a product or process should work, and an eye for where it doesn’tA self-starter attitude — you don’t wait to be told what to look at or handed a fully scoped projectAbout 2+ years of business, analyst, operations, or product-adjacent work experience — a non-technical background is completely finePrior exposure to product analytics tools (e.g. session replay tools, funnel/behavioral analytics) or SQLExperience with insurance, fintech, or another regulated/complex-product industryHands-on experience already using AI tools to build something — a workflow, an automation, a prototype — even informally