Apply📍 United States
🧭 Full-Time
💸 165000.0 - 210000.0 USD per year
🔍 Software Development
🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaSEnterpriseSoftware
- Advanced degree in quantitative field and 10+ years of experience (or 12+ years of experience without the degree)
- Exceptional analytical skills for problem solving; descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis
- Expert in SQL and in using data programming languages and visualization tools (ex. R/Python, Tableau)
- Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction, recommender systems, and unstructured text (NLP) analytics
- B2B experience, strong business acumen, and understanding of customer problems and solutions
- Experience operationalizing data to meaningfully impact Sales, Customer Support, and/or Customer Success strategy and execution
- Strong track record of forming effective cross-functional partnerships
- Expert in communicating results, insights and recommendations, leveraging strong narratives and compelling storytelling with data to senior leaders
- Ability to research and learn new technologies, tools, and methodologies
- Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
- Ability to coach and mentor junior data scientists
- Experience advising and leading analytical solutions to increase and optimize business outcomes
- Understand our customer needs, lead and design metrics to analyze how our customers are using product and influence Smartsheet’s go-to-market strategy
- Partner with Customer Outcomes Journey and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
- Develop solution and engagement analytics to identify improvement opportunities and showcase value realization to customers.
- Leverage Applied AI and machine learning techniques to identify growth opportunities, predict churn, understand the overall customer health and drive actionable recommendations
- Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations to Influence and execute company level strategic decisions
- Effectively present work to partner with senior stakeholders and provide data-based recommendations to enable data-driven decisions
- Advise and lead strategy for unique, undefined, work; coordinating activity of project participants
- Research and incorporate machine learning models, NLP techniques, and AI-driven analytics to enhance customer intelligence and predictive insights
- Lead team efforts to research and incorporate new tools and technologies
- Mentor, support and develop other BI team members
- Support other duties as needed
SQLBusiness IntelligenceData AnalysisMachine LearningTableauCommunication SkillsAnalytical SkillsData visualizationStakeholder managementData modelingData analytics
Posted 21 days ago
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