Job Description:
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Work with large and complex data sets, applying advanced analytical methods to solve difficult, routine and non-routine analysis problems
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Build and prototype analysis pipelines to provide insights at scale
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Interact cross-functionally, making business recommendations (i.e. cost-benefit analyses, forecasting, a/b tests) with effective visualizations of findings
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Research and develop analysis, forecasting, and optimization methods to improve the quality of Negotiatus decision recommendations
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Creating new, experimental frameworks to collect data
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Develop basic data models to improve data management and efficient data retrieval
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Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL, Cypher)
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You have extensive experience working with an organization through rapid growth, including several rounds of fundraising
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You are analytical and focused on data-driven decision-making
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You are able to seamlessly navigate between high-level strategic and hands-on tactical work
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You possess strong communication and presentation skills and are able to effectively collaborate across departments and with external stakeholders
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You take pride in your focus on analytics best practices, process improvement and automation
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A plus if you have experience with implementation of recommendation engines
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A competitive compensation package as well as stock options
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Robust medical, dental, vision, and wellness benefits
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Flexible time off and remote work policies
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Employer-sponsored 401(k)
Negotiatus is an equal opportunity employer. Applicant's qualifications are considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other basis prohibited by law.