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Analog Devices

Designs high-performance analog and DSP ICs

Financial Data Analyst

Business IntelligenceUpdated on Nov 10
Full-timePhilippinesNo salary listed

About the Job

Requirements

  • 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, and performance optimisation.
  • Advanced Microsoft Excel skills.
  • Experience with SQL and database querying.
  • Experience using Python for data analysis, automation, and process improvement.
  • Ability to work with large and complex datasets.
  • Strong analytical and problem-solving capabilities.
  • Ability to explain technical concepts to finance and business audiences.
  • Excellent communication skills.

Responsibilities

  • Design, develop, and maintain Power BI dashboards and reporting solutions supporting BU FP&A, Finance Business Partners, and leadership teams.
  • 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.
  • Use 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 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.
  • Serve as 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.

Desired 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.

About the Company

Analog Devices

Designs high-performance analog and DSP ICs

Analog Devices designs, manufactures, and markets high-performance analog, mixed-signal, and DSP integrated circuits used in many electronic devices. Its products include data converters, amplifiers, and power-management ICs that OEMs embed to sense, convert, and process signals, enabling reliable communication between the physical world and digital systems. ADI differentiates itself through a broad, specialized portfolio and close partnerships with OEMs across multiple industries—industrial, automotive, communications, and consumer—to solve complex engineering challenges. The company’s goal is to provide trusted signal-processing solutions that help customers design capable, reliable products by bridging the gap between the physical and digital domains.

Company size
10,001+
Company stage
IPO
Headquarters
Wilmington, MA
Founded
1965

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