Finance Analytics Manager

Role Title: Manager, Finance Analytics

Organizational Overview :

The Finance Platform Analytics organization leverages technology to optimize processes and data gathering, focusing our human resources on value added analytics and solution generation. We are the financial data experts of where data lies, how it is connected, and how to retrieve it . The Reporting and Visualization team within the Finance Platform Analytics organization is focused on delivering the data in the best format based on the end user requirements, be that Excel, PDF, Tableau, Power BI, or some other delivery mechanism.

Role Summary/Purpose:

This position is a part of the Finance Centre of Excellence organization which provides support to company's Finance Function. The Manager directly supports their assigned area(s) with

all matters pertaining to financial analytics and data sourcing requirements. This includes financial reporting and analysis, financial planning and forecasting, with an emphasis on process improvements. This position is based out of Hyderabad, India.

Essential Responsibilities:

• Expertise in leveraging SAS and Python to efficiently collect, analyze, and interpret complex data sets, driving actionable business insights.
• Skilled in aggregating data from diverse sources, performing data preparation and cleansing using SAS/Python, and designing intuitive, dynamic dashboards with Tableau to support decision-making.
• Adept at creating and delivering comprehensive dashboards, reports, and analytical packages that accurately capture periodic financial metrics and key business drivers tailored to various functional areas.
• Responsible for the timely preparation and presentation of monthly financial metrics and critical performance indicators, enabling function-specific strategic planning.
• Proactively identify opportunities for process enhancements, recommending and implementing improvements to optimize reporting accuracy and operational efficiency.
• Collaborate closely with US stakeholders to develop and review quarterly forecasts, providing detailed reporting and insightful analysis to explain variances against baseline projections.
• Deliver end-to-end analytical support by extracting and transforming data from enterprise data warehouses using advanced analytical tools.
• Drive predictive sales analytics initiatives by applying correlation analysis and historical trend evaluation to forecast credit card sales with precision.
• Demonstrate innovative thinking and a willingness to explore unconventional analytical approaches to uncover novel insights and solutions.
• Champion simplification and automation initiatives, consistently enhancing reporting accuracy and operational efficiency through streamlined workflows.
• Support strategic pricing projects by combining strong business acumen with a deep understanding of data warehouse architectures to deliver impactful analyses.
• Manage surveillance and analytical projects, ensuring rigorous data validation and insightful interpretation.
• Provide timely ad-hoc analytical support to meet evolving business needs and special projects as assigned.

Qualifications/Requirements:

• Graduate degree in any discipline with minimum 1 - 3 years of experience in Reporting and using analytical tools, or in lieu of a degree minimum 5+ years of experience in SAS, Python, Power BI/Tableau.
• Minimum 1-3 years of experience using SAS, Python, and visualization tools such as Power BI or Tableau with demonstrated ability to independently develop and optimize analytical code.
• Strong collaborator with excellent relationship-building skills to thrive within a highly matrixed organizational environment.
• Advanced expertise in Microsoft Office Suite (Excel, PowerPoint), coupled with hands-on experience in financial systems such as Oracle and Hyperion.

Desired Characteristics:

• Experience in SAS and/or Python.
• Knowledge of MS Access, Advanced Excel & Macros.
• Knowledge of Oracle Financial Data Warehouse (OFDW) & Hyperion (Smart View)
• Demonstrated oral and written communication skills and ability to work cross functionally, and cross culturally.
• Demonstrated ability to manage multiple priorities and work in tight deadlines
• Financial services industry experience is preferable.
• Ability to understand and anticipate end user needs, develop efficient data structures to deliver those needs while maximizing computing power.
• Strong analytics, problem solving skills, and attention to detail.
• Must be a self-starter, ability to quickly learn, adapt, show initiative and think outside the box.

WORK SET-UP

Setup: Hybrid

Schedule: 5:30 PM to 2:30 AM PHT

Location: Muntinlupa PH