Lilly is looking to optimize its diverse support offerings and device ecosystem by designing and implementing analytics-driven insights to enhance employee productivity, streamline operations, and improve user experiences.
Requirements
- Proficiency in analytics tools such as Tableau, Power BI, and data processing platforms, alongside familiarity with endpoint technologies like Nexthink, Microsoft Intune, JAMF Pro, Citrix Endpoint Management, and cellular solutions.
- Solid understanding of data modeling, AI techniques, and security analytics.
- 5+ years of experience in data analytics, solution architecture, or endpoint management, with proven expertise in deriving insights from multi-platform environments (Windows, macOS, iOS, Citrix).
Responsibilities
- Architect analytics solutions that integrate ticket data, interaction data, endpoint data from platforms like Microsoft Intune, Absolute, and Nexthink for Windows, JAMF for macOS and iOS, Citrix Virtual Apps/Desktops for virtual environments, and cellular management tools to derive cross-platform insights and scalability recommendations.
- Analyze data to find opportunities for improving employee usability, remote access efficiency, and integration effectiveness within Lilly’s support ecosystem and IT infrastructure.
- Develop predictive models and AI-driven analyses using endpoint data (e.g., telemetry, usage logs) to uncover trends, optimize device performance, and enhance user productivity, such as proactive issue detection or personalized configurations.
- Strategize data aggregation and transformation to deliver actionable insights that align with business objectives, focusing on improving employee experience without altering core infrastructure.
- Develop analytics models to monitor security metrics, compliance alignment, and risk factors from endpoint data, incorporating insights on zero-trust principles, encryption status, patch levels, and vulnerabilities.
- Generate reports and insights on data protection, access patterns, and threat responses to support security teams in maintaining robust controls across all endpoint devices.
- Lead the creation of dynamic dashboards using tools like Tableau or Power BI to provide real-time insights on endpoint health, compliance, and user metrics, enabling IT teams and leaders to make informed decisions.
Other
- Demonstrated passion for improving employee experiences through data insights, with excellent communication, analytical, and leadership skills.
- Ability to thrive in a collaborative, fast-paced environment focused on innovation and user-centric design.
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; advanced degree preferred OR a high school diploma/GED AND ten years experience in data engineering or data analytics roles.
- Qualified candidates must be legally authorized to be employed in the United States.
- Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
