Description

FlexShopper is the largest online lease-to-own marketplace stocked with an incredible selection of products from top brands. When people don’t have the cash or credit available, FlexShopper provides the solution — affordable weekly payments so you can rent-to-own your products in 12 months or less.

As a Senior Marketing Analyst, you will play a pivotal role in driving data-driven insights to enhance our marketing strategies. You will leverage your analytical expertise to uncover opportunities, optimize campaigns, and contribute to the overall success of our marketing

Responsibilities:

• Use SQL / python / R / excel to query, manipulate, augment and analyze marketing data in general to identify trends, patterns, and key insights
• Utilize statistical methods to design and analyze A/B tests in the marketing channels and on the ecommerce website, providing valuable insights for campaign optimization
• Support acquisition efforts on platforms like Google and Facebook, providing data-driven insights and contributing to campaign optimizations through response models, customer NPV modeling, lift studies, marketing mix modeling, etc.
• Support retention efforts by digging into customers purchasing behaviors in general or with regard to specific campaigns / segments, and going through the subsequent hypothesis generation, testing, and learning process
• Dig into raw Google Analytics event data, discover browsing patterns and contribute to site personalization and optimization ideas
• Collaborate with cross-functional teams to develop and refine marketing strategies based on data insights
• Establish key performance indicators (KPIs) and regularly monitor marketing campaign performance
• Generate insightful reports and dashboards to communicate the impact of marketing activities and initiatives
• Communicate complex analytical findings in a clear and understandable manner to non-technical stakeholders
• Foster a collaborative and data-driven culture within the marketing department
• Other Duties may be assigned based on business and department need.

Qualifications

Requirements:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as Statistics, Data Science, Computer Science, or a related discipline
• Minimum of 5 years of experience in a data science or analytics role, with a focus on marketing analytics
• Background in ecommerce or fintech a big plus
• Proficiency in programming languages such as Python or R
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Ability to work collaboratively in a cross-functional team environment