Sr. Analyst / Manager - Business Intelligence Analyst

GCOA partners with finance and technology teams to:

• Identify automation opportunities.

• Design innovative solutions.

• Embed automation as a core enabler of operational excellence and digital transformation.

The Business Intelligence Developer role (P1-P3) is responsible for working on data projects as the finance organisation is putting a greater emphasis on data analysis. The role will be working collaboratively with other members of the team and provide expertise in building AI ready data models.

The individual will be a proactive and driven self-starter with the ability to communicate with key stakeholders at all levels and from a mixture of technical and non-technical backgrounds.

Responsibilities

• Design and implement data models using modern data platforms (e.g., Microsoft Fabric, Databricks, Snowflake), ensuring alignment with enterprise architecture and analytics goals.
• Develop and maintain data pipelines using Fabric/Databricks notebooks and PySpark for large-scale data transformation and processing across finance data domains.
• Deploy and operationalise analytical models and data pipelines, ensuring they are scalable, maintainable, and integrated into business workflows.
• Work closely with finance teams, data engineers, and business analysts to understand requirements and deliver data solutions that meet operational and strategic needs.
• Design and implement intuitive Power BI reports and enhance with advanced analytics.
• Build and maintain datasets that integrate SAP and non-SAP financial data sources, enabling seamless access for reporting and analytics.
• Ensure metadata is accurately captured and maintained for lineage and governance.
• Write, test, and promote code through GitHub, following the team's environment-based release process from development through QA to production.
• Track, plan, and manage project work using Jira, ensuring visibility of progress, priorities, and dependencies across the team.
• Adhere to enterprise data standards and governance frameworks.
• Determines the appropriate method of data integration and methodology, analyses and interprets information gained and implements recommendations.

Experience

• 5+ years' experience in data modelling and schema design, preferably within Microsoft Fabric or similar platforms.
• 3+ years' experience building data pipelines using PySpark and notebooks (Databricks, Fabric, or similar), including both full and incremental load patterns.
• 5+ years' experience in developing, deploying and maintaining analytical models in production environments, including performance monitoring and model lifecycle management.
• 5+ years' experience in data visualization in Power BI.
• Skilled in leveraging DAX in Power BI, ensuring scalable and responsive Power BI reports across large datasets.
• Hands-on experience writing and deploying code using GitHub, including promoting changes through development, QA, and production environments as part of a structured release process.
• Experience using Jira for project and task tracking in an agile or structured delivery environment.
• Strong understanding of financial data structures and reporting requirements.
• Familiarity with SAP S4, Ariba, and other finance-related data sources is a plus.

Behavioural Skills

• Strong work ethic and personal motivation
• Strong analytical thinking and problem-solving skills.
• Ability to translate complex data into actionable insights for non-technical audiences.
• Good presentation skills.
• Interpersonal and communication skills, with the ability to work remotely across time zones.
• Stakeholder management skills.
• Team player who is dynamic and results-oriented.

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 (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

€32,250 - €84,040

Full-time equivalent employees may also be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a pension plan; vacation benefits; eligibility for healthcare benefits; flexible benefits (if applicable) life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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