Data Analyst

at  Primo Water Corporation

Overview:
At Primo Water Corp., we believe in creating healthier lives, healthier communities, and a healthier planet-that’s the One Primo Way. Our associates have created a rich and proud legacy that goes back well over 100 years. We believe investing in our associates is vital-we are empowering our teams to embrace diversity of thought, solve problems faster, and create innovative solutions that meet our customers’ needs now and into the future. We are One Primo Team unified by a common purpose: Inspiring healthier lives through Water Your Way.
At Primo Water, we are committed to empowering associates to live our shared values and provide opportunities for our associates to grow and celebrate being part of a winning team. Our comprehensive benefits package empowers you to maximize your money, live a healthy life, and grow personally and professionally. We call it the Primo Life Advantage! We offer Medical, Prescription Drug, Dental, Vision, Life Insurance, Income Protection, Vacation, Holidays, and Sick Time.
We also provide support to help you continue to prepare for retirement with our 401(k) Savings Plan, employer contributions to Health Savings Accounts & the opportunity to purchase Primo Water stock at a discounted price through our Employee Stock Purchase Program.
Primo invests in the whole person so that you can build your future along with ours. We are looking for qualified candidates ready to make a splash and dive headfirst into our One Primo Team. Please visit our website https://www.careers.primowatercorp.com for more information about Primo Water North America. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.

QUALIFICATIONS & BEHAVIORS:

• BA/ BS Degree required (Business Analytics, Computational Media, Engineering majors preferred)
• 3 - 5 years of experience in a similar role (Data Analytics, Customer Research, or Process Analysis)
• Qualitative and Quantitative research experience
• Analytical problem-solver with strong business acumen
• Ability to develop strategies based on analytical skills and business knowledge
• Proficient in Microsoft Office tools (Excel and PowerPoint are non-negotiable)
• Experience with data analytics tools (Tableau preferred)
• Experience with database query language and programming
• Experience with Machine Learning programing

• You will work on a myriad of interesting and challenging problems in marketing and customer experience, where you have the opportunity to hone your expertise in Advanced statistics and data mining, deep learning, supervised and unsupervised machine learning techniques to make a real impact to the world
• You will shape the way we understand and interact with existing and prospective customers as part of a dynamic and evolving water industry
• As a Data scientist, you will be tasked with leading scientific innovations in developing causal models, experiment measurement and optimization
• As a trusted science leader you will get the opportunity to solve some of the most challenging science and business intelligence problems
• This role will work closely with scientists and engineers to develop and run statistical models to understand customer behavior and how customers respond to changes in our marketing and our services.
• You will collaborate with peer scientists from vendor teams to produce modeling solutions, partner with software developers and data engineers to build end-to-end data pipelines and production code, and have exposure to senior leadership as we communicate results and provide scientific guidance to shape business strategy and roadmap
• Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques
• Understand the business drivers and patterns behind large sets of data and develop meaningful analytical solutions
• Utilizing code (Python, R, etc.) for analyzing data and building statistical and ML models to solve specific business problems
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters
• Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans
• Take the lead, drive solutions, and influence change across multiple teams, related by system and/or process
• Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendation