Analytics Ops Engineer – Data Visualization

JOB DESCRIPTION

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Lilly’s Purpose

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Come bring to life technologies to lead in Pharma-tech!

The Enterprise Data platforms enable the platform has developed an integrated and intuitive databases, integration and analytics platform. This platform enables Lilly business functions enables quickly utilize the database services, integration services and analytics platform.

Roles & Responsibilities

Tableau & BI Platform :

Install, configure, and maintain Tableau Server environments Multi node Architecture

Manage Tableau users, groups, sites, projects, permissions, and security settings.

Monitor server performance and conduct regular maintenance, backups, and upgrades.

Automate server tasks using scripting tools (e.g., Tabcmd, Tableau REST API, PowerShell, Python).

Lead  version upgrades , patch management, and migration projects across multiple platforms.

Experience on any performance monitoring tool

Plan and execute  capacity planning, resource scaling, and performance tuning  for diverse BI tools.

Integrate BI platforms with  SSO / SAML / Active Directory  for authentication and access control.

Automate admin and deployment tasks using  Python scripting  and  SQL queries  for monitoring, reporting, and operational workflows.

Develop and maintain  disaster recovery  and  business continuity  strategies for all BI tools.

Monitor usage analytics and  generate utilization reports  for platform performance, user adoption, and resource optimization.

Enforce compliance with  data security  and  audit requirements .

Mentor junior admins and lead cross-functional collaboration with IT, security, and BI teams.

Establish standard operating procedures and documentation for platform administration.

Recommend and implement system enhancements for scalability, performance, and operational efficiency.

Strong problem-solving skills, with the ability to think critically and optimize complex data solutions.

MS Fabric :

• Strong hands-on expertise with  Microsoft Fabric ,  Azure Data Factory , and related technologies.
• Proficient in  Fabric data ingestion from multiple sources , designing and maintaining data pipelines, and troubleshooting.
• Monitoring and analysing  pipeline execution logs  to identify, diagnose, and resolve errors or performance bottlenecks.
• Implementing  automated alerts and error-handling mechanisms  to proactively detect failures and ensure high availability.
• Proficient in  SQL ,  DAX , and other data query languages for analytics, administration, and automation.
• Strong knowledge of  ETL / ELT processes ,  data integration , and  pipeline design .
• Experienced with  Microsoft Azure  services including  Azure Data Lake  and  Azure SQL Database .
• Skilled in  data governance ,  security ,  logs monitoring , and  audit trail management  to ensure compliance.
• Manage  installation, configuration, upgrades, and patching  of Fabric and related services.
• Monitor  system health, usage metrics, and performance , providing optimization recommendations.
• Conduct  audit reviews  of access, workspace activity, and dataset refresh history.
• Adept at working in  agile environments  and collaborating with cross-functional teams.
• Strong  problem-solving and optimization  skills for complex data solutions.
• Expertise in  data modelling  and  security configuration  within Fabric and Power BI.
• Understanding of  Data Science concepts  and experience handling large-scale datasets.
• Collaborative mindset, working effectively with engineers, analysts, and business stakeholders

IBM Watson explorer :

Additional Information :

Proficient in one of the above area or technology (fabric / powerBI / IBM Watson) is preferred.

Availability to work flexible work hours is / may be required. This team will support continuous operations across two shifts and therefore, this rolewill require non-standard work hours, and some work on weekends and holidays.  Appropriate adjustments in benefits will be provided for employees working non-standard hours where applicable.

This role is open across experience levels, and the final designation will be determined based on the interview and assessment outcomes.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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