Marketing Analytics - Vice President
$140,000 - $185,000 per year
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Posted yesterday
SENIORITY
Manager
SALARY
$140,000 - $185,000 per year
About the role
- Serve as the strategic lead for marketing analytics, partnering with senior insurance marketing stakeholders to develop data-driven strategies, KPIs, and measurement frameworks
- Lead full-funnel marketing analytics, connecting campaign performance to conversion, pipeline, and revenue impact
- Design and analyze multi-channel campaigns (email, web, paid media, events, CRM, sales) to drive ongoing optimization
- Identify opportunities to improve marketing efficiency and ROIDevelop and refine lead scoring models and segmentation strategies to improve targeting and conversion in a B2B context
- Align with cross-functional teams, including marketing Centers of Excellence, on reporting standards and performance tracking
- Translate analytics into scalable data requirements in partnership with data engineering teams
- Drive executive-level reporting and insights, translating complex data into clear, actionable recommendations that inform strategic decisions
- Build and maintain dashboards to track key marketing metrics and communicate insights
- Mentor and guide junior team members and contribute to building a high-performing analytics team
- 7-10 years of experience in marketing analytics, including multi-channel, full-funnel analytics, and B2B marketing analytics (e.g., lead scoring and funnel performance), preferably in insurance or financial services
- Experience with brand marketing and paid media analytics, including measurement of brand campaigns, media performance, and optimization across paid channels
- Deep expertise in marketing measurement, attribution, and ROI analysis, with the ability to connect marketing activity to business outcomes
- Experience with Salesforce CRM, B2B marketing analytics, and marketing automation platforms (e.g., Marketo, Salesforce Marketing Cloud)
- Strong understanding of web and digital analytics tools (e.g., Google Analytics, Adobe Analytics, or similar platforms)
- Proficiency in SQL and experience analyzing large datasets from CRM and marketing platforms
- Experience using Python and working with cloud data platforms such as Snowflake and/or AWS Redshift
- Experience partnering with data engineering and technology teams to enable scalable analytics solutions
- Experience with segmentation and customer targeting strategies
- Strong analytical and problem-solving skills with a demonstrated ability to generate actionable insights
- Experience building dashboards using Tableau, Power BI, or similar tools
- Strong communication skills and the ability to work effectively with cross-functional stakeholders
- Bachelor's degree in Analytics, Statistics, Engineering, Business, or a related field
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
