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Product Analytics & UX Insights Manager

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Role Purpose

Bridge data and design by owning behavioural analytics and UX insights. This role “lives” in Mixpanel / equivalent to this tool and session tools (Hotjar/Clarity), turning user and merchant behaviour into concrete UX hypotheses, A/B tests, and prioritised recommendations that reduce friction, boost activation, and grow TPV across all Thawani products.


Key Responsibilities

Behavioural Analytics Ownership

  • Own the configuration and usage of Mixpanel (or equivalent):
  • Event taxonomy and naming
  • Funnels across key journeys (onboarding, KYC, funding, payments, remittance, Sama, Athar, merchant flows)
  • Cohorts, retention charts, and usage patterns.
  • Own session analytics tools (Hotjar / Clarity):
  • Heatmaps, scroll maps, and session recordings
  • Journey visualisation to detect friction, confusion, or bugs.

Insights, Hypotheses & Experimentation

  • Identify UX and product friction points and opportunities across:
  • Thawani Pay app (consumer side)
  • Mojab card & Mojab Go usage
  • Merchant solutions (Tajer, Merchant Portal, Payment Gateway, Payment Link).
  • Turn findings into clear UX hypotheses and problem statements, with quantified impact potential.
  • Partner with UI & UX Manager and Product to design and run A/B or multivariate tests; track test metrics and draw statistically sound conclusions.

Reporting & Communication

  • Produce regular “UX & Behaviour Insights” reports summarising:
  • Key trends, issues, and quick wins
  • Experiments results and learnings
  • Recommendations for backlog priorities.
  • Collaborate closely with the Senior Growth & Product Data Analyst to ensure UX findings are reflected in broader KPI and board-level narratives.


Qualifications & Experience

  • 6–10+ years in Product Analytics, UX Research, or Growth roles, preferably in FinTech, payments, or consumer apps.
  • Hands-on experience with Mixpanel (or similar product analytics), Hotjar / Clarity, GA4/Firebase, and experimentation tools.
  • Strong analytical skills; SQL and comfort with querying the data warehouse are a plus.
  • Proven ability to turn behavioural data into UX and product changes with measurable impact.
  • Excellent communication skills; able to translate complex behavioural patterns into simple stories and priorities for designers, product managers, and leadership.


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