
Lead - UX Research / Analytics (Customer Experience,App/Web)
at Talent Pro
Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.
Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

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2+ years of experience working in any backend programming language.
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Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
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Basic understanding of Kubernetes & docker is a must.
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Experience in data processing (ETL, ELT) and/or cloud-based platforms
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Working proficiency and communication skills in verbal and written English.
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