The Data Analyst will report to Engineering and will play an integral role in decision-making at Stericycle Compliance Solutions. This individual is responsible for providing strategic recommendations grounded in data analysis and statistical models. A commitment to continuous improvement is critical as it will ensure the continued success of our data analytics initiatives which drive increased operational excellence.
•Data Model Management – Set up experimental designs to answer business questions and opportunities. Determine and execute data refresh cadence in alignment with organizational strategies. Continuously measure model effectiveness and performance against business KPIs. Regularly conduct data validations to ensure models remain relevant.
•Predictive analytics - Test business hypotheses across various departments to construct predictive models. Work in cross functional team to identify new hypotheses. Test sensitivity/impact of current and proposed business initiatives on various customer segments.
•Reporting/Analysis- – Develop and publish reporting and analytics as a result of tested hypotheses and provide user-friendly outputs for various departments (e.g., Operations, Engineering,and Executive leadership). Design reporting to provide insight into operational performance, , business initiatives,and the relationships.
•Business Management – Participate in various business improvement activities and deep-dive initiatives adding insight where predictive analytics are required to forecast impact/results. Develop partnership with Information Systems to gain insight into upcoming data changes or new data availability.
•Data Quality - Execute different data analytics (joins, audits, correlation, etc.) to ensure the completeness, quality, and consistency of data used for analytics across systems. Works across departments to understand inputs and ensure reliability while providing feedback/recommendations to improve quality.
•Performs other related duties as required or requested.
•Bachelor's Degree in a quantitative field such as statistics, mathematics, information systems, computer science, or economics with two to four years of experience. Master’s Degree in an analytics related field such as statistics is a plus.
•Two or more years of work experience utilizing statistical applications such as: R, SAS, and SPSS.
•Have strong statistical, mathematical, predictive modeling, or machine learning skills.
•Two or more years of experience in working with large datasets, and relational databases (SQL)
•Must be comfortable working with senior management as the analytics and insights provided by this individual are shared throughout various levels of the organization.
• Demonstrating advanced use of Microsoft Excel and working knowledge of CRM and ERP systems (Salesforce.com and SAP preferred) is a requirement.
•Ability to articulate and present complex data in a user friendly format is critical to the success of this role.
•Must have the ability to work collaboratively in a team environment.
•Must be subject matter expert with a passion for digging into any dataset by researching the relevant in-formation on the subject in order to use the data effectively.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.