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Benefits offered by this job
Competitive salary
Performance-based bonuses
Comprehensive health and dental insurance
401(k) retirement plan with company matching
Generous paid time off policy
Opportunities for professional development
Job summary
A leading retail company is seeking a Senior Analyst in Marketing Analytics in New York City. The ideal candidate will utilize their analytical skills to enhance marketing strategies through data insights. The position offers a salary between $90,000 and $120,000 annually, along with comprehensive benefits including health insurance and a 401(k) plan. Candidates should have a strong background in data analysis and be proficient in SQL and Python. This dynamic role promotes a diverse work environment with opportunities for professional growth.
Qualifications
Minimum of 5 years of hands-on experience building and implementing multi-touch attribution (MTA) models.
Familiarity with marketing platforms such as GA4, Google Ads, Meta Ads, Klaviyo, and affiliate networks.
Strong problem-solving skills with meticulous attention to detail.
Responsibilities
Perform comprehensive analyses of marketing data to uncover trends.
Partner with cross-functional teams to assess marketing requirements.
Evaluate the effectiveness of marketing campaigns.
Create and maintain dashboards tracking KPIs.
Employ statistical techniques to refine marketing strategies.
Skills
SQL
Python
Data analysis
Attention to detail
Communication skills
eCommerce analytics
Education
Bachelor’s degree in Marketing, Business, Statistics, or related discipline
Master’s degree
Tools
Tableau
Looker
Power BI
Snowflake
Excel/Google Sheets
Job description
A leading retail company is seeking a Senior Analyst in Marketing Analytics in New York City. The ideal candidate will utilize their analytical skills to enhance marketing strategies through data insights. The position offers a salary between $90,000 and $120,000 annually, along with comprehensive benefits including health insurance and a 401(k) plan. Candidates should have a strong background in data analysis and be proficient in SQL and Python. This dynamic role promotes a diverse work environment with opportunities for professional growth.