DescriptionJob Summary
The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Business Analyst that will focus on the development/maintenance of capacity modeling that supports the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in operations analytics data mapping & discovery and forecasting techniques. This role also involves building machine learning capabilities to analyze complex datasets generate actionable forecasts and optimize business strategies.
Job Responsibilities
- Design build and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
- Assist in the development of data models and other user tools to support analytics initiatives and ensure data integrity
- Apply statistical and machine learning techniques for time series analysis and forecasting.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
- Communicate model results insights and recommendations to technical and non-technical audiences
- Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
- Document modeling processes assumptions and results for transparency and compliance
- Stay updated on the latest advancements in predictive analytics data modeling and forecasting methodologies
Required qualifications capabilities and skills
- Bachelors degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
- 4 years of experience in engineering statistics mathematics or another quantitative field
- Proficiency in programming languages such as SQL Python R for statistical modelling
- Experience with data visualization tools such as Tableau and/or Power BI.
- Strong understanding of data modeling concepts including relational and non-relational databases
- Demonstrated ability to query and analyze large datasets to provide meaningful insights.
- Ability to understand LLM models and integrate AI capabilities into operational analytics preferable
- Strong analytical and problem-solving abilities
- Experience delivering recommendations to leadership
- Self-starter with ability to execute quickly and effectively
- Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives
Required Experience:
IC
DescriptionJob SummaryThe Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Business Analyst that will focus on the development/maintenance of capacity modeling that supports the build of end- to- end forecast modeling across all key teams involved in the e...
DescriptionJob Summary
The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Business Analyst that will focus on the development/maintenance of capacity modeling that supports the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in operations analytics data mapping & discovery and forecasting techniques. This role also involves building machine learning capabilities to analyze complex datasets generate actionable forecasts and optimize business strategies.
Job Responsibilities
- Design build and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
- Assist in the development of data models and other user tools to support analytics initiatives and ensure data integrity
- Apply statistical and machine learning techniques for time series analysis and forecasting.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
- Communicate model results insights and recommendations to technical and non-technical audiences
- Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
- Document modeling processes assumptions and results for transparency and compliance
- Stay updated on the latest advancements in predictive analytics data modeling and forecasting methodologies
Required qualifications capabilities and skills
- Bachelors degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
- 4 years of experience in engineering statistics mathematics or another quantitative field
- Proficiency in programming languages such as SQL Python R for statistical modelling
- Experience with data visualization tools such as Tableau and/or Power BI.
- Strong understanding of data modeling concepts including relational and non-relational databases
- Demonstrated ability to query and analyze large datasets to provide meaningful insights.
- Ability to understand LLM models and integrate AI capabilities into operational analytics preferable
- Strong analytical and problem-solving abilities
- Experience delivering recommendations to leadership
- Self-starter with ability to execute quickly and effectively
- Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives
Required Experience:
IC
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