This role is responsible for solving complex analytical problems within the CRM function by applying advanced statistical and modeling techniques. This role delivers data‑driven recommendations to inform management decisions across customer lifetime value, product configuration, campaign planning, telesales support, and other CRM‑related areas.
- Develop and implement statistical models (e.g. CLV forecasting, churn prediction) to drive retention and growth
- Conduct ad‑hoc analyses to identify trends, opportunities, and risks across customer segments.
- Provide ongoing analysis of campaign effectiveness and ROI, recommending adjustments in real time.
- Help to define pricing strategies based on data‑driven insights
- Map and optimize customer journeys
- Translate complex analyses into clear, actionable recommendations for non‑technical stakeholders
Requirements:
- Bachelor's degree in Statistics, Economics, Mathematics, Data Science, or related field (Master's is a plus)
- Minimum of 5 years in a senior analytical role, preferably within CRM, marketing analytics, or e‑commerce.
- Advanced proficiency in SQL.
- Solid grounding in statistics and predictive modeling techniques (e.g. regression, clustering, time‑series).
- Strong analytical thinking with a focus on driving measurable business outcomes.
- Excellent communication skills: able to translate data insights into clear narratives.
- High-stress tolerance and ability to manage multiple, shifting priorities under tight deadlines.
- Results‑oriented mindset with a commitment to continuous improvement.
