Build, optimize, and maintain robust Power BI dashboards and datasets, and semantic models supporting financial and operational reporting.
Leverage Azure Databricks, SQL/PLSQL, Python/PySpark, and Azure DevOps to design and develop efficient data pipelines and transformation logic.
Serve as a backup to Finance team members to troubleshoot, modify, and enhance KNIME and Python/Pandas workflows supporting financial consolidation, reporting, budgeting, and forecasting processes during month-end and planning cycles.
Own and manage the end-to-end technical documentation process, ensuring all data models, pipelines, and reporting assets are well-documented, version-controlled, and easily understood by cross-functional teams.
Collaborate with Finance team members to develop a strong understanding of financial processes, KPIs, and terminology, ensuring BI solutions align with business objectives.
Provide mentorship and technical guidance to Finance team members on Databricks, Power BI, and best practices in data engineering.
Collaborate closely with the BI team to align on data modeling, pipeline performance, and governance frameworks.
Continuously optimize data solutions for daily performance, propose cost-efficient cloud-based options, and coordinate with IT to implement them.
Participate in establishing a semantic layer and standardized business definitions to ensure consistency across reporting assets.
Explore opportunities to incorporate AI/ML techniques for predictive and prescriptive analytics within the Finance function.
Requirements
Bachelor’s degree in Computer science, Engineering, or related field.
3–5 years of experience in a Business Intelligence or Data Engineering role (minimum).
2+ years of hands-on experience with Azure Databricks and a strong grasp of the Medallion Architecture.
Solid proficiency in SQL, PLSQL, Python (pandas library), PySpark and Power BI DAX.
Experience working in cloud environments, with a focus on Azure-based services and Azure DevOps.
Deep expertise in building Power BI reports using complex DAX expressions, developing datasets and semantic models, with a strong focus on visual design and usability.
Proven experience in building complex FP&A dashboards combing multiple data sources.
Familiarity with financial reporting and healthcare operations, including pharmaceutical distribution or patient support programs, is a plus.
Experience or interest in AI/ML applications within BI, Unity Catalog, data governance, and secure data sharing practices is considered a strong asset.
Excellent communication skills, with a collaborative approach to working with technical and non-technical teams.
Benefits
Competitive Salary and generous vacation entitlement
Wellness Program (5 paid days off for your well-being!)
Paid Sick Days
Competitive Benefits Package including Dental & Extended Health Benefits, AD&D, LTD & Employee/Dependent Life Insurance
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