Marketing Strategist - US

Medius is a global leader in cloud-based spend management solutions, focused on transforming finance with innovative technology. The Marketing Strategist will analyze data to enhance marketing performance, leveraging AI tools and working across various marketing functions to optimize initiatives and improve resource allocation.

Responsibilities:

• Leverage AI tools to analyze touchpoint data to optimize the marketing mix and maximize pipeline and bookings. Improve GTM process efficiency and optimize tech stack configurations
• Manage the marketing programs and initiatives framework, to identify any gaps in our data for measuring performance
• Support all areas of marketing, including brand, demand gen, field, customer, and partner
• Support measurement and process improvements to optimize the hand-off between marketing and sales
• Identify and create KPI performance dashboards to measure progress towards campaign goals and pipeline targets; showcase what’s driving (or impeding) success
• Perform quantitative and qualitative analyses of internal datasets from our MA and CRM to help optimize marketing efforts throughout the customer journey. This would include, but not be limited to, providing actionable insights to help drive brand awareness, prospect engagement, product awareness, MQL quality, and pipeline and bookings
• Cross-channel attribution and impact across all marketing efforts to provide insights and recommendations on tactics, activity, frequency, and behaviors for improved funnel performance, channel efficiency, and ROI
• Review and optimize lead scoring models
• Present findings and recommendations to executive-level stakeholders
• Partner with cross-functional stakeholders to create and optimize standardized reports and dashboards to provide ongoing data and insights for internal stakeholders
• Partner with the MarTech counterparts to evaluate technology and process change impact
• Partner with the Marketing Automation counterparts to manage the marketing database strategy including list segmentation, data cleanliness and integrity; defining a roadmap for data management improvements

Requirements:

• 5+ years of analytics experience in a sales and marketing environment
• 3+ years of experience with fast-growth company
• AI tool and agents experience and curiosity
• Strong data visualization skillset, specifically with PowerBI. This includes both back-end ETL management and front-end dashboard design and best practices
• Thorough understanding, management, and optimization of marketing attribution models, specifically with Adobe Marketo Measure (aka Bizible)
• Relevant experience in key business systems such as CRMs and marketing automation platforms a must
• In-depth knowledge of how data workflows push/update within CRM and MarTech stacks
• Experience leveraging AI to run analysis, summarize insights, write code, improve process efficiency
• Experience working with multiple and large datasets
• Experience in business-to-business marketing of cloud or high technology products or services preferred
• Experience in statistical modeling, experiment design, and A/B testing
• Experience in customer journey analysis and demand funnel analysis
• Experience with data normalization and development using SQL/ other query tools a plus
• Experience with Google Analytics data and web analytics
• In-depth knowledge and best practices for data manipulation and analysis techniques
• Bachelor's Degree or higher in business, computer science, or marketing
• Ability to pass a background check
• Breadth of analytical experience across multiple marketing functions and analytic tools including Adobe Marketo Measure (Bizible), PowerBI, and DOMO
• An understanding of selling cycles and product lifecycles and the pressure they place on the marketing organization to drive demand, pipeline, and revenue
• High level of project management and organizational skills
• Experience with Marketing Operations and various MarTech systems including 6sense and Qualified
• Critical thinking, problem solving and decision-making skills, balancing thoughtful analysis with timeliness
• Strong track record of cross-functional collaboration and ability to present complicated data findings in a clear, concise, and compelling manner
• Ability to identify key insights despite imperfect data
• Ability to think in the abstract and understand the intricacies of a complex system
• Effective communication skills (written, verbal and presentation)