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Marketing Data Analyst

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Senior Marketing Data Analyst – Driving Data-Driven Marketing Success


Are you passionate about transforming data into actionable insights? Join our client's dynamic digital marketing team as a Senior Marketing Data Analyst and play a crucial role in driving revenue-generating strategies today


What You’ll Do:

Dive Deep into Data: Use advanced techniques to collect and analyze customer, marketing, and web behavioral data. Your insights will shape the future of marketing campaigns.


Master Statistical Methods: Apply statistical techniques to understand user behavior, campaign performance, and conversion rates. Conduct A/B tests to optimize marketing efforts.


Predict the Future: Develop predictive models to forecast user engagement, customer lifetime value, and campaign success. Utilize machine learning for segmentation and personalization.


Optimize Attribution: Explore multi-touch attribution models to accurately allocate credit across marketing channels and understand the impact of touchpoints on conversions.


Visualize and Inspire: Create compelling data visualizations using tools like Tableau or PowerBI. Present findings to stakeholders, translating complex data into actionable insights.


Optimize the Marketing Mix: Collaborate with cross-functional teams to analyze the impact of various marketing channels. Help optimize budget allocation for maximum performance.


Segment for Success: Use clustering techniques to segment customers based on behavior, demographics, and preferences. Tailor marketing strategies for each segment.


Ready to elevate your career with your data expertise? Message Kristen Lee on LinkedIn or apply directly to this posting today

What You Bring:


Education:

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a big plus


Experience:

5 years of industry experience, preferably with exposure to financial products.

2-3 years of direct experience in Marketing Analytics, including web, social media, and campaign performance.


Skills:

Proficiency in statistical software (R, Python, or similar).

Understanding of NLP techniques for analyzing customer feedback and sentiment analysis.

Experience with data visualization tools (Tableau, PowerBI).

Expert knowledge of marketing analytics tools

Strong SQL skills for data extraction and manipulation.

Familiarity with cloud platforms (AWS, Google Cloud Platform, Microsoft Azure).