Accelerating growth in the Mid Market organization by enhancing customer segmentation, optimizing targeting strategies, and improving demand generation effectiveness across acquisition, conversion, and retention.
Requirements
- Advanced skills in SQL and Python (or R) for data extraction, modeling, and analysis.
- Proficiency with data visualization platforms (e.g., Tableau, Power BI) to communicate insights clearly.
Responsibilities
- Develop and refine advanced segmentation frameworks to identify, prioritize, and engage high-value Mid Market customers.
- Build predictive models (e.g., propensity, churn, LTV) to inform targeting strategies across sales and marketing channels.
- Analyze the full GTM funnel to identify drivers of acquisition, conversion, and retention.
- Provide insights into marketing campaign performance, sales pipeline health, and channel effectiveness to maximize ROI.
- Design and execute experiments to test GTM hypotheses, validate strategies, and optimize initiatives.
- Apply causal inference methods to measure the true impact of marketing and sales efforts.
- Build measurement frameworks that provide visibility into acquisition, conversion, and retention outcomes.
Other
- 4+ years of experience in data science, analytics, or related quantitative fields, ideally in GTM, marketing analytics, or growth-focused roles.
- Proven track record applying segmentation, targeting, and experimentation to drive acquisition, conversion, and retention improvements.
- Experience analyzing demand generation, funnel performance, and marketing/sales effectiveness.
- Strong communication and storytelling skills with experience influencing business and technical stakeholders.
- Ability to quickly understand new business areas and translate complex analyses into actionable strategies.
