We are seeking a Data Scientist . This individual will partner with marketing stakeholders to define and measure key business metrics and identify and execute opportunities to improve performance and positively impact business results.
Duties:
- Performs business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, and data mining
- Determines best practices and develops actionable insights and recommendations for current business operations
- Works directly with internal or external clients to identify analytical requirements
- Produces ad hoc data analyses and reports
- Assist in implementing or developing systems to capture business operation information
- May occasionally guide less experienced business data analysts
Requirements
- Bachelor’s degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or a related quantitative field; Master’s degree in Data Analytics, Business Intelligence, or Marketing Analytics is a plus
- Equivalent work experience in data analysis or marketing reporting may be considered in place of formal education
- Segmentation & Personalization: Experience with audience segmentation, customer targeting, personalization strategies, and dynamic content to improve campaign performance
- CRM Performance Metrics: Knowledge of KPIs such as open rate, click-through rate (CTR), click-to-open rate (CTOR), conversion rate, unsubscribe rate, churn, retention, customer lifetime value (LTV), and engagement metrics
- ETL Knowledge: Familiarity with data pipelines and tools (e.g., Superglue, Alteryx, Informatica, dbt, Airflow)
- Statistical Analysis: Understanding of statistical methods, A/B testing, regression analysis, and forecasting
- Customer Journey Analytics: Understanding of customer behavior, funnel analysis, cohort analysis, and journey performance to identify opportunities for improving engagement and retention
- CRM Strategy & Lifecycle Marketing: Understanding of customer lifecycle stages, retention strategies, customer journeys, and lifecycle campaign optimization
- Data Visualization Tools: Expertise in tools like Qlik Sense for building dashboards and reports
- SQL Proficiency: Writing complex queries to extract, join, and transform data from relational databases
- Scripting Languages: Python or R for advanced data analysis and automation (nice-to-have)
- Campaign Measurement & Optimization: Ability to measure, analyze, and optimize CRM campaigns across email, push notifications, SMS, in-app messaging, and other owned channels
-
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#AlbionarcJobs#FintechJobs
#AsiaJobs#MiddleEastCareers
#TechTalent#FintechRecruitment
#FinanceOpportunities#
