ezCater is the most trusted provider of corporate food solutions and is purpose-built for business. ezCater’s corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We’re backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille. ezCater is looking to bring on a seasoned Senior Manager to lead our Sales and Account Data Science and Analytics team leveraging our rich data assets to identify and drive new growth opportunities. This leader will lead and work alongside a team of Data Scientists and Analysts to create the models, metrics and data insights that drive our Sales programs and initiatives. Working with our Chief Revenue Officer and Sales and Marketing groups, the team will define the predictive and causal impact models to accelerate our customer acquisition programs. The Data Science and Analytics that powers our Sales programs includes everything from experimentation, data enrichment to lead scoring models and pipeline performance measurement. Our ideal candidate will have proven, hands-on experience implementing a range of Data Science methods and integrating external data with experience driving the Data Science and Analytics behind a growth program. The role reports into the Chief Revenue Officer. What You’ll Do: Partner directly with our Sales and Marketing leaders to develop, implement and improve the Analytics and Data Science across lead qualification, lead scoring, goal setting for “share of wallet”, sales pipeline insights and forecasting. Oversee customer and prospect data and enrichment initiatives. Assess data quality and Partner with business to Identify new data sources to enrich our data. Partner with our Data Engineering team to direct development efforts. Own and develop the strategic 6-12 month analytics roadmap and agenda to deliver against our biggest business opportunities. Lead, manage, mentor, and develop a growing team of technical analysts and Data Scientists. Develop scalable analytic processes, methods, and self-service tools to ensure other analysts and partners are empowered to make data-driven decisions Guide and direct analysts’ deep-dive advanced statistical and data science analyses (e.g. predictive models, classification, etc) Collaborate with all facets of the organization including engineering to identify, capture, access and stream the data you need to drive our business results. What You Have : Have 6-10 years experience in a relevant field, such as Sales analytics or data science, performing quantitative and technical analysis. Strong preference for candidates with experience leading B2B Sales or Marketing Data Science and Analytics teams with track record of lead generation and measurement. Past experience leading individual contributors and/or large projects with multiple contributors Self-directed and demonstrated ability to define, prioritize, and direct Analytics and Data Science initiatives Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap for a team. Demonstrated proficiency in explaining complex analysis and models to stakeholders at all levels of the organization and translating conclusions into straightforward and actionable business terms. Expert proficiency in python and experience with wrangling data from large data assets. Expert conducting quantitative analyses on with large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI) Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis. The national cash compensation range for this role is $175,000 – $225,000*. *Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance). ezCater does not sponsor applicants for work visas or legal permanent residence. What You’ll Get from Us: You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance. Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too. Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon. ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones. For information on how ezCater collects and uses job applicants’ personal information, please visit our Job Applicant Privacy Policy.
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Lead Scoring Models Business Analyst statistics Tableau Work-life balance Data Engineering Lead Qualification snowflake-cloud-data-platform goal orientation remote work Looker Mentoring Lead Generation data-mining data enrichment Technical analysis google-data-studio Quantitative analysis Team management Communication with clients Software Developer Classification Algorithms Power BI data-quality measurement Python Data Science Predictive models data-wrangling data-visualization experimental-design Analytics forecasting Strategic planning Predictive analytics