Job Description

Overview:
Position Summary
Reporting to the Senior Manager, Analytics, the financial BI analyst will produce commercial, financial, and operational insights and reports to support decision making across the Global division through preparation and analysis of budget, forecast and sales/operational performance.

Responsibilities

• Forecast Management
  • Preparation and Management of Monthly Revenue and Margin Forecast with Sales and Operations
    
  • Identify relevant insights and compile analytical reports highlighting variances, trends, and risk analysis
    
  • Create scenarios for forecast sensitivity
    
  • Update Forecast Dashboard and implement continuous improvements and new visualizations based on new business requirements
    
  • Build a new predictive analytical model to improve accuracy of forecast and sales conversion
    
  • Propose and implement areas of automation to the existing forecasting process
• Budget Preparation and Management
  • Create pre-read material to support business leaders in preparation of annual budgets
    
  • Aggregate multiple BUs entries into a divisional dashboard highlighting main drivers and YoY variances
    
  • Facilitate budget workshop with leadership and propose areas of opportunities and/or reductions based on historical data
    
  • Reconcile and manage budget entries in Adaptive prior to final submission to Finance to deliver to Revenue, Margins and EBITDA targets
• Financial Modelling
  • Create financial models to support business launch new initiative and products with positive ROI
    
  • Identify main financial cost drivers and translate it to operations

Required Knowledge, Skills and Abilities

• Experience in Forecasting, Budget and P&L Management
  
• Demonstrated ability to read and understand financial statements
  
• Ability to source and work with large amounts of data from different data sources; SQL (including Mode Analytics), Advanced Excel, SAS, R, Python and Power BI including Power Query and Dax measures
  
• Ability to create data models
  
• Experience in creating predictive statistical models based on historical data (preferred)
  
• Experience with MS Office Suite, Salesforce, Workday and Jira
  
• Demonstrated ability to work effectively in an environment characterized by constant change, ambiguous data and a fast-paced, deadline-driven culture; able to respond quickly and proactively to new or changed initiatives
  
• Demonstrated ability to lead and facilitate workshops

Qualifications and Experience

• Advanced degree in Finance, Business, Applied Mathematics, Statistics, or other Data Sciences; or an equivalent combination of education and 4+ years’ experience.
  
• CPA (preferred)
  
• 6+ years working with forecasting and budgeting
  
• Experience in Data Analytics in a plus

Note: Candidates must be willing to work onsite. Office Address: BPO 1 Building, Suntech iPark, Advincula Avenue, Lancaster New City, Barangay Alapan II-B, Imus, 4103 Cavite, Philippines #LI-onsite
If this resonates with you, or if you feel like you would excel in the role, apply now!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Appen

Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally