Data Analyst - Safety and Risk Solutions
Aramark
- Philadelphia, PA
- Permanent
- Full-time
- Manage and integrate large data sets from various internal and external sources to measure and monitor leading and lagging safety outcomes, ensuring data integrity and timely access to performance metrics.
- Support S&RS establishing and maintaining KPIs and Scorecards by using various data mining and data visualization tools that enable leaders and managers to monitor safety performance, leading activities and identify improvement opportunities.
- Use data visualization, modeling and analytics to help S&RS better understand and evaluate people, food and environmental safety performance and trends, identify drivers and root causation, as well as prioritize corrective and preventative action.
- Convert business requirements into technical specifications and decide the timeline to accomplish tasks.
- Create charts and document data with algorithms, parameters, models, and relations explanations.
- Conduct data warehouse development in partnership with enterprise IT
- Define and design new systems by analyzing current ETL processes.
- Make technical changes to existing BI systems in order to enhance their working.
- Respond to safety data and innovation support inquiries and requests from multiple stakeholder (i.e., Finance, Compliance, Operational Leadership), which are often time sensitive.
- Leverage data analysis tools and technologies to identify emerging people and food safety risk.
- In partnership with S&RS subject matter experts, help to identify new and innovative ways to educate and enable operators (i.e., gamification, virtual/augmented reality) to better implement SAFE programs/processes and drive safety and business outcomes through technology.
- Actively participate in industry and technology associations and conferences to increase knowledge and stay informed of leading and emerging innovations.
- Possess a passion for purpose-driven work and S&RS mission of keeping people and communities safe.
- Consistently demonstrate key leadership competencies and attributes which include:
- Innovative and Curious: Has the desire and ability to connect and understand the front-line worker. Asks why, explores, and brings a unique perspective to discussions.
- Analytical and Action-Oriented: Is data driven and outcome focused, comfortable with ambiguity and fueled by a hunger to learn and seeking out new challenges. Has a desire to take action, manage multiple deliverables, try new things, and sometimes fail.
- Collaborative & Team-Oriented: Keeps teammates and internal customers in the loop and communicates complex ideas clearly to support understanding.
- Bachelor's degree or higher in a quantitative field (Business, Math, Data Forensics, Economics, Finance, Statistics).
- Minimum of 3-5 years of experience in data analysis supporting data-driven, risk-based decision making. Experience supporting national company with diverse operations is preferred.
- Experience with technology platforms, such as Salesforce, Qlik, Forms Assembly, Microsoft Power Tools, Smartsheet, Microsoft Business Intelligence Stack, etc.