Forecasting Analyst - Workforce Analytics

Shift Timing:

Primary Responsibilities:

• Undertake analysis to identify key trends investigate unusual items and provide variance analysis, with explanations, to the stakeholders
• Creation of long-term demand forecast for multiple product lines.Re-forecast on a short-term basis to reflect updated information and retail partners planning confirmations
• Interpreting external data to assist in understanding impacts on future chart inflow volume
• Support forecasting and capacity planning for monthly and annual budgeting
• Creation of reporting and tools to assist demand planning and allocation teams
• Research and recommend data, models, and methods to increase forecast accuracy
• Querying databases and using statistical computer languages: Python and SQL
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
• Work with large and multiple datasets, and data warehouses and pull data using relevant programs and coding
• Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes
• Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy
• Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate or above education, preferably in a related field of study such as Finance, Business or Statistics, Insurance, etc.
• 3+ years of experience in an analytical position, proven experience in forecasting in the product-based or e-commerce industry
• Proven advanced Excel skills and SQL knowledge
• Proven advanced knowledge and practical application of Python, including utilizing Numpy, Pandas, SciPy, Stats models, and other related libraries
• Solid understanding of Forecasting techniques and preparation for accurate forecasting
• Proven solid background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction
• Proven ability to structure, clean, and engineer data and derive insights from missing / ambiguous data
• Proven ability to quickly build solid relationships with key stakeholders
• Proven ability to manage, adjust, and complete projects on schedule in a dynamic work environment