Data Scientist
Skills
Computer ScienceAudience SegmentationBusiness IntelligenceCTRData AnalyticsDatabasesMarketing Analytics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7-10 years of overall experience preferred
- Experience in CRM lifecycle marketing or marketing analytics preferred
- Strong SQL proficiency for complex querying joining and transforming relational data
- Expertise in data visualization tools such as Qlik Sense
- Familiarity with ETL tools and data pipelines such as Alteryx Informatica dbt or Airflow
- Understanding of statistical methods A/B testing regression analysis and forecasting
- Python or R preferred for advanced analysis and automation
- Knowledge of CRM strategy lifecycle marketing and customer journey analytics
- Experience with segmentation personalization and campaign optimization across owned channels
- Ability to connect CRM initiatives to business outcomes such as revenue retention engagement and loyalty
- Bachelor’s degree in a quantitative field or equivalent experience
Nice to have
- Strong communicator
- Collaborative
- Detail-oriented
- Curious
- Business-minded
Day to day
- Partner with marketing stakeholders to define and measure key business metrics and uncover opportunities to improve performance.
- Perform business analysis using statistical analysis predictive modeling and data mining to generate actionable insights.
- Produce ad hoc analyses reports and dashboards that support campaign optimization and business decisions.
- Assist with data capture systems and may guide less experienced analysts when needed.