Principal, Data Science/Analyticsother related Employment listings - San Jose, CA at Geebo

Principal, Data Science/Analytics

Join us as we pursue our radical new vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun, and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey! As Principal, Data Science/Analytics , you will be working on establishing analytics infrastructure for self-service analytics and helping the pricing team as well as other teams being highly productive. You will be conducting financial analysis & in-depth competitive research to advise pricing strategies. In this role, you will work on highly sophisticated problems, gaining insight into the strategic and operational issues which are forefront in the minds of the Splunk leadership team. You will work with senior-level decision-makers across the company to deliver for our customers. You should have a strong analytics and/or strategy background and excel in different areas of analytics infrastructure, ad-hoc analysis, competitive benchmarking, etc. with a keen curiosity about understanding the business challenges, finding the right data set, synthesizing the data in an understandable dashboard/forma and helping with strategic decision making. In addition, the ability to thrive in an unstructured, collaborative environment with a strong level of comfort around sophisticated problems and ambiguous situations. An attitude of ownership with strong execution prowess in a B2B enterprise software context is essential to success. What You'll Be Doing:
Derive insights and support decision making with data and visualizations Identify and supervise development of core data sets and infrastructure Lead development of Tableau dashboards to surface and redefine data Work with business partners to understand new opportunities for scalable analytics Build and prioritize development roadmap & implement agile development cycles Keep senior stakeholders advised of progress on key pricing initiatives Identify and evaluate key KPIs to measure business Develop standardized data and insights to drive pricing decisions Provide analysis of ad hoc strategic questions Quantify impact of pricing actions Identify and implement new capabilities and standard methodologies to develop and improve pricing processes Who You Are & What Makes You Qualified:
Extensive experience with analytics including competitive benchmarking, pricing, business rules, forecasting and reporting Ability to identify and understand customer and competitor behaviors, emerging trends and programs vital to improve revenue and margin Accountable, self-motivated, hands-on, dynamic, and hardworking leadership style that can productively impact both strategic and tactical financial outcomes Ability to think innovatively and challenge existing paradigms and practices in a data-driven manner Skilled in preparing and/or presenting reports and data 7
years of pricing, finance, data science or analytics heavy roles; 2
years of experience managing a team Strong leadership and communication skills - written and verbal - to work with senior Proven track record of working cross-functionally to deliver impact Bachelor's degree in a relevant field of study; MBA a plus but not required The position is located in bay area - San Francisco or San Jose or Seattle We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sex orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records. (Colorado only ) Minimum base salary of $110,000. You may also be
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.

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