TAWANTECH

Financial Services

DataAnalytics/CustomerIntelligenceSpecialist

$175–275k ~AI est. Riyadh, Riyadh Province, Saudi Arabia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analytics / Customer Intelligence Specialist at TAWANTECH. Skills: Data analytics, Customer intelligence, Predictive modeling, Business intelligence. Build and validate advanced propensity models. Predict customer churn”

What You'll Achieve.

Measure marketing ROI; Measure portfolio performance; Provide automated, real-time metrics

Industry & Context.

Financial Services
Problems you'll solve

Data transformation; Predictive modeling; Behavioral analytics

What They're Looking For.

Must Have

3 to 7 years of specialized professional experience, Prior exposure to banking analytics, Prior exposure to customer intelligence divisions, Prior exposure to predictive statistical teams, Prior exposure to commercial analysis environments, Hands-on experience building dashboards in Power BI or Tableau, Direct experience applying predictive modeling techniques, Direct experience executing behavioral analytics tracks

Nice to Have

Deep, demonstrable proficiency utilizing SQL, Proficiency utilizing Python for statistical modeling

What You'll Do.

Build and validate advanced propensity models

Predict customer churn

Predict upgrade behaviors

Predict product affinity

Perform granular behavioral analytics

Uncover hidden patterns

Uncover journey friction points

Uncover engagement lifecycle stages

Own design of commercial analytics frameworks

Own deployment of commercial analytics frameworks

Own optimization of commercial analytics frameworks

Develop corporate dashboards

Maintain corporate dashboards

Refresh corporate dashboards

Extract transactional records

Extract profile records

Clean transactional records

Clean profile records

Manipulate transactional records

Manipulate profile records

Convert data findings into commercial recommendations

How You'll Work.

Team & Collaboration

Analytical business partner; Product development departments; Marketing departments

Full Job Description

**JOB PURPOSE & SUMMARY** The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial strategies. The successful candidate will design robust predictive frameworks and build self-service visualization assets to guide corporate decision-making. **KEY RESPONSIBILITIES** * Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product affinity. * Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey friction points, and engagement lifecycle stages. * Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly measure marketing ROI and portfolio performance. * Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated, real-time metrics for executive leadership. * Extract, clean, and manipulate heavy transactional and profile records from central enterprise data warehouses. * Act as an analytical business partner, converting data findings into commercial recommendations for product development and marketing departments. **Requirements** **JOB REQUIREMENTS & QUALIFICATIONS** *** Experience** : 3 to 7 years of specialized professional experience in an analytics-focused capacity. *** Domain Background** : Prior exposure to banking analytics, customer intelligence divisions, predictive statistical teams, or sophisticated commercial analysis environments. *** Technical Exposure** (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/ data manipulation and Python for statistical modeling. *** Visualization Stack** : Strong hands-on experience building structured, production-ready interactive visual dashboards in Po

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