Ecommerce Business Planning and Analysis for Sales Platforms
Apply NowCompany: Intelliswift
Location: Plano, TX 75025
Description:
Job ID: 24-06545 Pay rate range - $60/hr. to $63/hr. on W2
Schedule: Hybrid
Position Summary
looking for a Business Planning and Analysis to drive both short-term and long-term business planning for Sales platforms for Mobile App.
This candidate will be responsible for managing weekly/monthly/quarterly sales forecasts with high accuracy using analytics and building models based on Ecommerce sales drivers, promotional analysis and using category specific business knowledge.
The individual is expected to be hands-on to prepare Sales forecasting, product mix, risk/opportunity analysis and to evaluate Ecommerce sales drivers (Traffic, conversion rate), impact of promotions on different sales platforms, promotional analytics (attribution, elasticity and ROI/financial analysis) and creating what-if scenarios to achieve business goals.
The role also includes creating insights/presentations for executive reviews and will own business planning for the assigned category.
A successful candidate is highly analytical with critical thinking skills and business savvy, be adaptive and able to work cross-functionally to influence sales and operations teams working towards a common goal in a highly matrixed, fast-paced organization.
Essentials/Duties and Responsibilities
Hands-on to build Sales forecasting using several variables (Traffic, Seasonality, multiple promos etc.)
Develop weekly/monthly/quarterly sales forecasts for both quantity and revenue
Promotional analysis for attribution, elasticity and ROI/financial analysis
Build a playbook to use Promotional lift and to recommend promos to achieve goals
Develop monthly/quarterly targets and distribute the targets to various categories/channels and traffic drivers for Ecommerce
Deep understanding of Mobile promotions, sales, and channel actions
Improve long term forecasting w/suitable analytical methodologies
Use advanced analytics methodologies such as ML/AI forecasting methodologies for sales forecasting
Create presentations with compelling data-driven story to share with leadership, and cross-functional teams to provide insights and recommendations
Work with Category Management, Finance, and Operations teams to define and work on gap closures
Background/Experience
6+ years of experience in Ecommerce business planning, category management and/or data and analytics-intensive role with an emphasis on Quantitative Analytics
Experience of working with Mobile App sales drivers will be a plus
Bachelor's degree in Business/Economics or in math/analytics/engineering is required
MBA would be a plus
Hands-on with advanced Excel with attention to detail to integrate complex data to build forecasting and to perform analysis
Knowledge of ML/AI models for forecasting, pricing, and promotional analytics for business analytics will be a plus
Experience with Financial analysis to build business cases and to create P&L analysis
Creative thinker with excellent business acumen, analytical skills and experience with statistical modeling
High level of confidence, integrity, enthusiasm, and executive presence that fits a fast-paced, energetic and proactive organization
Adaptability, using advanced preparation to quickly pivot throughout the week
Exceptional presentation skills with good Microsoft PowerPoint capabilities
Experience of working with Telecom, Technology, Consumer Electronics, and/or Retail industry is strongly preferred
Schedule: Hybrid
Position Summary
looking for a Business Planning and Analysis to drive both short-term and long-term business planning for Sales platforms for Mobile App.
This candidate will be responsible for managing weekly/monthly/quarterly sales forecasts with high accuracy using analytics and building models based on Ecommerce sales drivers, promotional analysis and using category specific business knowledge.
The individual is expected to be hands-on to prepare Sales forecasting, product mix, risk/opportunity analysis and to evaluate Ecommerce sales drivers (Traffic, conversion rate), impact of promotions on different sales platforms, promotional analytics (attribution, elasticity and ROI/financial analysis) and creating what-if scenarios to achieve business goals.
The role also includes creating insights/presentations for executive reviews and will own business planning for the assigned category.
A successful candidate is highly analytical with critical thinking skills and business savvy, be adaptive and able to work cross-functionally to influence sales and operations teams working towards a common goal in a highly matrixed, fast-paced organization.
Essentials/Duties and Responsibilities
Hands-on to build Sales forecasting using several variables (Traffic, Seasonality, multiple promos etc.)
Develop weekly/monthly/quarterly sales forecasts for both quantity and revenue
Promotional analysis for attribution, elasticity and ROI/financial analysis
Build a playbook to use Promotional lift and to recommend promos to achieve goals
Develop monthly/quarterly targets and distribute the targets to various categories/channels and traffic drivers for Ecommerce
Deep understanding of Mobile promotions, sales, and channel actions
Improve long term forecasting w/suitable analytical methodologies
Use advanced analytics methodologies such as ML/AI forecasting methodologies for sales forecasting
Create presentations with compelling data-driven story to share with leadership, and cross-functional teams to provide insights and recommendations
Work with Category Management, Finance, and Operations teams to define and work on gap closures
Background/Experience
6+ years of experience in Ecommerce business planning, category management and/or data and analytics-intensive role with an emphasis on Quantitative Analytics
Experience of working with Mobile App sales drivers will be a plus
Bachelor's degree in Business/Economics or in math/analytics/engineering is required
MBA would be a plus
Hands-on with advanced Excel with attention to detail to integrate complex data to build forecasting and to perform analysis
Knowledge of ML/AI models for forecasting, pricing, and promotional analytics for business analytics will be a plus
Experience with Financial analysis to build business cases and to create P&L analysis
Creative thinker with excellent business acumen, analytical skills and experience with statistical modeling
High level of confidence, integrity, enthusiasm, and executive presence that fits a fast-paced, energetic and proactive organization
Adaptability, using advanced preparation to quickly pivot throughout the week
Exceptional presentation skills with good Microsoft PowerPoint capabilities
Experience of working with Telecom, Technology, Consumer Electronics, and/or Retail industry is strongly preferred