Senior Business Analyst - CRM Strategy & Data Modeling

Оплата: По договоренности
Удаленно
Full-time

As a Senior Business/CRM Analyst, you'll collaborate with cross-functional teams to decode complex customer behaviors, evaluate marketing performance metrics, and analyze product analytics. You'll develop comprehensive dashboards and reports that guide strategic decision-making and drive measurable business outcomes. This full-time remote position is designed for analytics professionals who excel in dynamic environments where results matter.


Key Responsibilities

- Design and implement robust analytics frameworks to monitor and evaluate marketing campaigns and product performance metrics.

- Develop and maintain sophisticated ETL processes ensuring data integrity and accessibility across platforms.

- Create detailed customer segmentation models enhancing personalization strategies and targeted communications.

- Build and optimize interactive dashboards using visualization tools like Power BI, Tableau, or Superset for stakeholder consumption.

- Partner with marketing and product teams to identify high-impact growth opportunities through data analysis.

- Analyze customer lifecycle patterns and recommend evidence-based strategies to improve retention rates.

- Perform complex SQL queries to extract meaningful insights from diverse datasets.

- Utilize Python or R for statistical analysis, predictive modeling, and automated reporting solutions.

- Monitor and analyze KPIs to track progress toward business objectives and identify performance trends.

- Present analytical findings to stakeholders in clear, actionable terms that drive strategic decisions.


Required Skills and Experience

- 3+ years of progressive experience in product, marketing, or CRM analytics at a senior level.

- Demonstrated expertise working with CRM systems and performing multi-dimensional customer data analysis.

- Comprehensive understanding of digital marketing channels and online conversion funnels.

- Advanced knowledge of ETL processes specifically in marketing and product analytics contexts.

- Proficiency with modern analytics platforms including Amplitude, Firebase, Mixpanel, Google Analytics 4, and AppMetrica.

- Expert-level SQL skills with experience working with enterprise databases (Oracle, Hadoop, Vertica, PostgreSQL).

- Hands-on experience creating impactful visualizations using Power BI, Tableau, Superset, or equivalent tools.

- Working knowledge of Python (3.x) or R for data manipulation, statistical analysis, and automated reporting.

- Experience with attribution platforms such as Appsflyer or myTracker for marketing performance analysis.

- Strong analytical thinking with the ability to transform complex problems into structured solutions.

- Excellent communication skills for translating technical findings into business recommendations.