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We’re seeking a Senior Product Analyst who sits at the intersection of product strategy and call center operations. You’ll play a pivotal role in shaping Lendbuzz’s future by ensuring that both what we build and how our customer interactions are handled are guided by robust, accurate insights. Collaborating closely with product managers, engineers, operations, and customer experience teams, you’ll turn product and call center metrics into actionable recommendations that improve performance, enhance efficiency, and elevate customer experience.
Please note - The salary range is listed in Argentine Pesos (ARS).
Please apply directly at - https://jobs.lever.co/lendbuzz/65263a02-263b-4578-928a-c461fd68bc53?lever-origin=applied&lever-source%5B%5D=snaphunt
The Role
Key Responsibilities
Product Analytics:
- Conduct deep-dive exploratory analyses to understand user pain points, “ah-ah” moments, and product usage insights.
- Collaborate with product teams to build reusable or ad hoc data views, influencing strategy, design, and development.
- Design, develop, and maintain dashboards and reports using SQL (CTEs, window functions, etc.) or scripting languages, offering real-time visibility into product performance.
- Track and evaluate the success of product launches and A/B experiments; monitor system and product performance post-launch.
- Conduct quality checks on analytics events and recommend enhancements to amplify product performance.
- Participate actively in agile processes, from design through implementation and deployment.
- Analyze performance metrics (call volumes, handle times, abandonment, NPS/CSAT, agent productivity) to uncover trends and opportunities.
- Partner with Operations, Product, and CX teams to translate call data into process and product recommendations.
- Develop dashboards and KPI frameworks to drive decisions around call routing, workforce optimization, and automation.
- Run root-cause analyses to pinpoint inefficiencies and improve customer journeys.
- Influence product roadmaps and automation initiatives with thoughtful data insights.
- Lead A/B tests and other experiments to measure outcomes in call center performance.
- 5+ years of experience in data/product analysis, including call center analytics.
- SQL expertise; comfortable with complex queries, including CTEs and window functions.
- Proficiency in BI tools like Sigma, Tableau, or Power BI; experience with DBT is a plus.
- Basic knowledge of Python and Git.
- Strong data experimentation and statistical analysis background.
- Expertise in call center platforms and KPIs; Genesys experience is a plus.
- Excellent around cross-functional collaboration (Product, Engineering, CX, Ops).
- Strong problem-solving, critical thinking, and business acumen.
- Creative, proactive, organized, and growth-minded.
- Fluent in English (written and verbal).
- Flexible working options
- Work alongside & learn from best in class talent
- Work within a company with a solid track record of success
Key Skills
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