Product Manager/Marketing Data Analytics
SNI Financial - Chicago, IL, United States![SNI Financial](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
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Overview
We are seeking a dynamic and detail-oriented Marketing Data Analytics / Product Manager to join our team
This hybrid role combines expertise in marketing data analysis with strong product management skills
The ideal candidate will leverage data-driven insights to shape and drive marketing strategies and product decisions, enhancing both customer engagement and product performance.
Key ResponsibilitiesMarketing Data Analytics:
- Data Analysis & Reporting:
- Collect, analyze, and interpret marketing data from various sources including core systems, CRM, social media, and web analytics platforms
- Develop and deliver actionable insights through regular and ad hoc reports to support marketing campaigns, research, and business decisions
- Utilize data visualization tools to present findings in a clear and concise manner
- Collect, analyze, and interpret marketing data from various sources including core systems, CRM, social media, and web analytics platforms
- Campaign Performance Monitoring:
- Track and evaluate the effectiveness of marketing campaigns and initiatives using key performance indicators (KPIs)
- Identify trends, patterns, and anomalies in campaign performance to optimize strategies and tactics
- Track and evaluate the effectiveness of marketing campaigns and initiatives using key performance indicators (KPIs)
- Market Research:
- Conduct market research to understand customer needs, preferences, and behaviors
- Analyze competitive landscape to inform marketing strategies and product positioning
- Conduct market research to understand customer needs, preferences, and behaviors
- Data-Driven Decision Making:
- Collaborate with marketing teams to develop data-driven marketing strategies
- Provide recommendations for improving ROI based on data insights
- Collaborate with marketing teams to develop data-driven marketing strategies
- Product Strategy & Development:
- Define and drive the product roadmap based on market needs, customer feedback, and business objectives
- Work with cross-functional teams including engineering, design, and marketing to develop and launch new products or features
- Define and drive the product roadmap based on market needs, customer feedback, and business objectives
- Market and User Research:
- Gather and analyze customer feedback and market trends to identify product opportunities and challenges
- Conduct competitive analysis to inform product positioning and differentiation
- Gather and analyze customer feedback and market trends to identify product opportunities and challenges
- Product Lifecycle Management:
- Oversee the entire product lifecycle from concept through launch and post-launch performance
- Manage product backlog, prioritize features, and ensure alignment with overall business goals
- Oversee the entire product lifecycle from concept through launch and post-launch performance
- Stakeholder Communication:
- Serve as the primary point of contact for all product-related matters
- Communicate product vision, strategy, and updates to stakeholders and ensure alignment with marketing and business objectives
- Serve as the primary point of contact for all product-related matters
Education:
- Bachelor’s degree in Marketing, Business Administration, Data Analytics, or a related field
Advanced degree (MBA or Master’s) preferred
- 7-10 years of experience in marketing data analytics and/or product management
- Proven track record of managing data-driven marketing campaigns and product development projects
- Strong analytical skills with proficiency in data analysis tools and software (e.g., Google Analytics, SQL, Tableau, Excel)
- Solid understanding of marketing principles and digital marketing channels
- Experience with product management tools and methodologies (e.g., Agile, Scrum)
- Excellent communication and presentation skills
- Ability to work collaboratively with cross-functional teams