Sales Operations Advanced Analytics Lead

Klaviyo is looking for a Senior Advanced Analyst / Data Scientist to join our Sales Operations team.  The successful candidate will leverage their quantitative and technical skillset, analyze data and build customer journey, archetype and maturity models, and partner closely with Go-to-Market leadership. This role will have a meaningful impact via developing and maintaining models and delivering data driven insights, analyzing prospect and customer behavior & business drivers, and developing strategies and solutions to drive results in support of Klaviyo’s growth objectives.

A successful candidate will be instrumental in driving greater insight into prospect and customer buying signals and purchase behavior, operationalizing the design of various sales strategies into actionable data sets, and clearly communicating complex data insights to non-technical stakeholders, all leading to improved sales strategies and greater growth outcomes for Klaivyo.  The ideal candidate is intellectually curious, strategically and analytically minded, proactive in seeking solutions to challenging problems, and highly focused on solving problems for our customers by leveraging data science methodologies. This role requires a blend of analytical skills with a strategic mindset and a proven ability to communicate effectively with senior leadership.

How you will make a difference:

• Collaborate with senior leaders across Go-To-Market operations and the Sales team to drive strategic analytics and support Global initiatives that shape the growth trajectory of Klaviyo.
• Determine appropriate modeling methodology, and subsequently build, train, deploy, and maintain predictive models (e.g., build model drift monitoring) that can proactively identify prospect/customer opportunities and drive customer success.
• Own and develop reporting and analytics resources, identify and create new benchmarks and metrics that drive success, and tell data driven stories about the health of Klaviyo’s customers.
• Scope and plan end-to-end advanced analytics projects by identifying the business problem, leading exploratory data analysis, determining critical key performance indicators (KPIs) and implementing data-based solutions for appropriate business stakeholders.
• Dissect trends, quantify opportunities, and undertake market and prospect/customer analytics to support business planning & strategic decision making within Sales.
• Convey findings in a cohesive story, including summarizing insights from analyses, identifying next steps and providing recommendations.
• Collaborate with cross-functional teams across disciplines such as Sales/Marketing/Partner Operations, Product, Business Intelligence, Data Science and Finance, incorporating Global input and driving Global alignment on initiatives.

Who you are:

• You have 5+ years of professional experience in an advanced analytics or data science role; prior experience with SaaS an advantage.
• You have experience working with various supervised (e.g., regression, classification, decision trees) and unsupervised (clustering, principal component analysis, anomaly detection) data science modeling techniques to drive business decision making and outcomes.
• You possess advanced experience working with Python, SQL R, DBT, Github, and Excel to support operating efficiently and developing solutions at scale.
• You have experience modeling within Python packages (e.g., pandas, numpy, scikit-learn, xgboost, statsmodels) and building data visualization across various platforms (e.g., Tableau, Thoughtspot, matplotlib, seaborn, ggplot2, plotly, shiny).
• You have well developed communication and organizational skills, a demonstrated ability working cross functionally to partner with Senior Business leaders, experience operating to a roadmap, managing projects and setting clear milestones and deliverables, and experience preparing materials for an executive audience.
• You balance attention to detail with swift execution, taking ownership and delivering work products in a timely manner to drive outcomes .
• You are comfortable operating autonomously with a bias towards action, learning and constant iteration.

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