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Crm Data Analyst
130 000 - 150 000$
Описание вакансии
Текст:
TL;DR
Crm Data Analyst (Data Analytics): Analyze customer and transactional data to drive acquisition, engagement, and retention with an accent on CRM, email marketing, and lifecycle optimization. Focus on designing A/B tests, building segmentation frameworks, and visualizing marketing KPIs to inform strategic decisions.
Location: New York, United States, onsite 2 days per week
Salary: $130,000–$150,000
Company
is a premier global destination for art and luxury, operating auctions, private sales, e-commerce, and retail supported by a leading technology platform.
What you will do
- Analyze customer engagement and lifecycle performance to drive personalization and retention.
- Design and interpret A/B and multivariate tests to optimize campaign effectiveness.
- Build and maintain Tableau dashboards visualizing KPIs and customer journey trends.
- Collaborate with Data and Engineering teams to ensure data reliability and actionability.
- Develop advanced segmentation and audience strategies based on behavior and demographics.
- Communicate insights and recommendations to senior leadership through storytelling and visualization.
Requirements
- Location: Ability to work onsite in New York 2 days per week (Tue/Thu).
- Bachelor's degree and 4+ years experience in CRM, marketing analytics, or customer insights.
- Proficiency in SQL (Snowflake), Tableau, Excel, Adobe Analytics, and Segment CDP.
- Strong understanding of email marketing, customer segmentation, personalization, and lifecycle optimization.
- Experience designing A/B tests and marketing attribution approaches.
- Excellent communication and data visualization skills.
Nice to have
- Familiarity with Marketing Mix Models or predictive modeling frameworks.
- Experience with enterprise analytics tools such as Google Analytics.
Culture & Benefits
- Competitive salary with discretionary bonus and benefits package.
- Fast-paced, agile work environment with shifting priorities.
- Strong sense of ownership and accountability across projects.
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