Senior CRM & Business Intelligence Analyst
Key Responsibilities:
- Develop comprehensive analytics frameworks to evaluate marketing campaigns, customer journeys, and product performance metrics.
- Design and implement robust CRM strategies to enhance customer retention, engagement, and lifetime value.
- Create advanced data visualization dashboards to communicate insights effectively to stakeholders.
- Optimize customer segmentation models to improve targeting and personalization efforts.
- Analyze user behavior patterns to identify opportunities for product enhancement and feature development.
- Collaborate with cross-functional teams to translate business questions into analytical frameworks.
- Monitor key performance indicators and provide data-driven recommendations to optimize business processes.
- Lead ETL process improvements to ensure data accuracy, consistency, and accessibility.
- Develop automated reporting solutions to streamline analytical workflows.
- Identify trends and patterns in customer data to inform strategic business decisions.
- Conduct cohort analyses to understand user retention and churn factors.
- Evaluate marketing channel efficiency and recommend optimal budget allocation strategies.
Required Skills & Experience:
- 3+ years of demonstrable experience in product, marketing, or CRM analytics.
- Proven expertise working with CRM systems and implementing data-driven customer relationship strategies.
- Advanced SQL proficiency with experience querying large-scale databases like Oracle 19c, Hadoop 3.3+, and Vertica 12.0+.
- Strong working knowledge of contemporary analytics platforms including Appsflyer, myTracker, Amplitude, Firebase Analytics, Mixpanel, Google Analytics 4 and AppMetrica.
- Experience with modern data visualization tools such as Power BI, Apache Superset, Tableau 2023, DataLens, Google Looker Studio, or QlikSense.
- Proficiency in statistical analysis and data processing using R (4.2+) and/or Python (3.11+) with pandas, NumPy, and scikit-learn libraries.
- Comprehensive understanding of ETL processes in digital marketing and product analytics environments.
- Demonstrated experience with customer personalization tools and internal CRM communication platforms.
- Strong analytical thinking with the ability to transform complex data into clear, actionable insights.
- Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
- Experience with attribution modeling and multi-touch attribution analysis.
- Proficiency in implementing tracking solutions and defining appropriate event structures.