Job Summary

This role applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.).

Responsibilities

• Develop and maintain statistical models capable of extracting valuable business insights from large data sets.
• Proactively participate in developing scalable Business Intelligence (BI) solutions using a variety of techniques ranging from data aggregation to data mining.
• Assist with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions.
• Perform data manipulation and analytics and translate insights into actionable recommendations to management.
• Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders.
• Develop and maintain the department's operational efficiency and productivity KPI targets.
• Facilitate training and education of associates related to new systems and procedures.
• Create standards for process improvement projects using Data Analytics and Statistical Analysis Theory.
• Apply statistical expertise to advance current and future regional initiatives.
• Maintain current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions.
• Perform other duties as assigned.

Qualifications

• Bachelor's degree in math, statistics, computer science, software engineering or a related field required; Master's degree preferred.
• 0-3 years of relevant experience required.
• Experience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc) required.
• Experience with databases and large data sets and related reporting tools.
• Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations.
• Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management.
• Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team.
• Proficiency in Microsoft Office products such as Word, Excel and PowerPoint.
• Continuous improvement mindset.
• Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results.

Salary $90,000-$113,000.

Benefits Summary

• Health, Dental, Vision, Prescription Drug plans 
• Life and Accidental Death & Dismemberment Insurance
• Flexible Spending Account
• Employee Assistance Program
• 401K with 4% company match
• Bonus Program
• Wellness Program
• Onsite Fitness Center (vary by location) 
• Tuition Reimbursement 
• Career Development and Ongoing Training
• Paid holidays and vacation 
• Cafeteria and food markets (vary by location) 
• Volunteer opportunities 
• Employee recognition (employee and milestone events)