شرکت توسعه تجارت و فناوری تارا
شرکت توسعه تجارت و فناوری تارا

Customer Intelligence Lead

Tehran/ Saei-Tavanir
Full Time
شنبه تا چهارشنبه
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-
51 - 200 employees
Finance / Investment
Iranian company dealing only with Iranian entities
Privately held
توضیحات بیشتر

key Requirements

5 years experience in similar position
Sql Server - Intermediate
Python - Intermediate

Job Description

We're a fintech company built on data, offering digital wallet services alongside credit products like loans and BNPL, plus micro-investment options. As we scale and push into new territory, we're looking for a senior leader to own how we understand and grow our customer base. We are seeking a Senior Customer Intelligence Lead to build and lead the function that turns customer data into growth.

The Role

You will own our customer intelligence strategy end to end — understanding who our customers are, what they're worth, when they're at risk, and what they want next. Your work will help shape how we spend our marketing budget, design retention strategies, and launch new products. This is a leadership role: you'll set the roadmap, grow a team, and be the go-to partner for marketing.

What You Will Do

  • Predict customer value. Shift the business from backward-looking metrics to predictive forecasts of each customer's long-term value.
  • Prevent churn. Build early-warning capabilities that identify customers at risk of disengaging, and deliver the underlying drivers of that risk so retention teams can act with precision.
  • Personalize customer experience. Develop recommendation capabilities that connect users with relevant merchants, offers, and content — deepening engagement across our product ecosystem.
  • Demonstrate impact. Establish measurement frameworks that quantify the incremental value of intelligence-driven initiatives, separating genuine growth from organic outcomes.

Requirements

  • 5+ years of experience in customer analytics, data science, or CRM/growth intelligence, ideally in fintech, payments, consumer lending, or a high-volume consumer app.
  • Experience leading data scientists and analysts, and comfort setting direction for a small team.
  • Strong commercial instincts — you translate models into revenue, retention, and ROI, not just accuracy metrics.
  • Hands-on background in predictive modelling, segmentation, personalization, and experimentation.
  • Excellent stakeholder management: you can explain complex analytical ideas to executives and marketers in plain language.
  • Fluency in SQL and Python.

Job Requirements

Age
25 - 36 Years Old
Gender
Men / Women
Software
Sql Server| Intermediate Python| Intermediate

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