Build and manage robust data models using Power BI, Power Query and related technologies.
Extract, transform and analyse large datasets from multiple enterprise systems to generate business insights.
Develop automated reporting and analytics solutions that reduce manual effort and improve accuracy.
Utilize Python, SQL and other analytical tools to streamline financial processes and perform advanced data analysis.
Partner with Finance, IT and business stakeholders to understand reporting requirements and translate them into scalable solutions.
Support forecasting, planning, month-end close and management reporting processes through enhanced analytics and data visualisation.
Develop and maintain data quality controls, reconciliations and validation processes to ensure reporting integrity.
Create meaningful KPI dashboards, trend analysis and performance reporting to support business decision making.
Document data flows, reporting methodologies and dashboard governance standards.
Identify opportunities to leverage AI, automation and advanced analytics within finance processes.
Contribute to continuous improvement initiatives focused on simplification, standardisation and automation across BU Finance.
Required Qualifications
Bachelor's degree in Finance, Accounting, Data Analytics, Computer Science, Information Systems or a related discipline.
2-4 years of experience in Finance Analytics, Business Intelligence, FP&A, Financial Systems or Data Analytics.
Strong understanding of financial statements, planning, forecasting and management reporting concepts.
Advanced Power BI development skills including
Data modelling
DAX
Power Query
Dashboard design
Performance optimisation
Advanced Microsoft Excel skills.
Experience with SQL and database querying.
Experience using Python for data analysis, automation and process improvement.
Strong analytical and problem-solving capabilities with the ability to work with large and complex datasets.
Excellent communication skills and ability to explain technical concepts to finance and business audiences.
Preferred Qualifications
Experience supporting FP&A or Finance organisations.
Experience with SAP, SAP BW, HANA or other ERP systems.
Experience with enterprise reporting platforms such as QlikView, Tableau or Fabric.
Understanding of data architecture, ETL processes and data governance principles.
Experience with machine learning, predictive analytics or AI-enabled reporting solutions.
Certification in Power BI, Data Analytics or related technologies.
Experience leading analytics, automation or continuous improvement projects.
Critical Success Factors
The successful candidate will
Become the primary Power BI and finance analytics resource supporting Central BU FP&A.
Drive automation and reporting simplification across planning, forecasting and management reporting processes.
Reduce manual reporting effort through scalable data solutions.
Improve visibility into business performance through modern dashboards and analytics.
Enable finance teams to spend less time gathering data and more time driving insights and decision support.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: Normal Time (Philippines)
