Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global technology organization is advancing AI-powered customer relationship management and workplace transformation through intelligent technologies, data, and automation. Its collaborative environment brings together engineers, researchers, business leaders, and data professionals to develop innovative solutions that improve customer experiences and business outcomes.
Key Responsibilities
- Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions.
- Apply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth.
- Develop predictive models, segmentation frameworks, and forecasting methodologies that improve GTM planning and execution.
- Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives.
- Conduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity.
- Build scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision-making.
- Partner with Data Engineering teams to develop trusted datasets and scalable analytical foundations for advanced modeling and experimentation.
- Collaborate with Product and Sales Strategy teams to develop intelligence solutions connecting account health, product usage, customer engagement, and seller actions to actionable recommendations.
- Translate complex analytical findings into compelling narratives, executive presentations, dashboards, and written recommendations for technical and non-technical audiences.
- Champion evidence-based decision-making by improving access to trusted metrics, analytical methodologies, and strategic insights across the GTM organization.
- Collaborate with engineers, business leaders, and researchers to identify opportunities and influence strategic direction.
- Contribute to a culture of data-driven and evidence-based decision-making.
Required Qualifications
- 6+ years of industry experience applying data science, statistics, or quantitative analysis to complex business problems.
- Advanced proficiency in SQL and at least one programming language used for data science, such as Python, R, or Scala.
- Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem-solving.
- Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
- Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.
- Experience partnering with Product, Sales, Finance, or other Go-to-Market organizations to influence strategic decisions.
- Bachelor’s degree in Computer Science, Statistics, Economics, Mathematics, Engineering, another quantitative field, or equivalent practical experience.
Preferred Qualifications
- Master’s degree or PhD in Statistics, Computer Science, Economics, Mathematics, Operations Research, or a related quantitative discipline.
- Experience supporting Sales, Marketing, Customer Success, Finance, or other Go-to-Market organizations through advanced analytics.
- Expertise in experimental design, A/B testing, causal inference, forecasting, or machine learning.
- Experience developing production-quality analytical models and partnering with engineering teams to operationalize data science solutions.
- Deep understanding of Go-to-Market operating models and experience collaborating with Sales Strategy and Sales Programs teams.
- Demonstrated ability to independently define ambiguous business problems, develop rigorous analytical approaches, and influence executive-level strategy.
- Experience applying AI and machine learning techniques to improve business decision-making, operational efficiency, or customer experiences.
- Knowledge of workflow orchestration tools such as Apache Airflow.
- Strong ability to work collaboratively in cross-functional and multidisciplinary environments.
- Curiosity, creativity, adaptability, and a commitment to continuous improvement.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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