Decision Science Analyst Mid-Level - Brand Marketing (Remote)
About the position
Responsibilities
• Leverage intermediate and advanced analytical knowledge to collaborate with cross-functional teams on business objectives.
• Apply advanced analytical techniques to medium to large scale business problems impacting current and future strategies.
• Utilize innovative and quantitative analytical approaches to make actionable recommendations.
• Translate recommendations into communication materials for peer review and management presentation.
• Incorporate visualization techniques to enhance understanding for non-technical audiences.
• Identify and gather relevant data sources to address business problems through exploratory data analysis.
• Integrate and transform disparate data sources while applying appropriate data hygiene techniques.
• Document assumptions, methodology, validation, and testing for compliance and peer reviews.
• Adopt emerging technologies that enhance scientific methodologies and quantitative approaches.
• Deliver findings in a manner that influences management and drives business decisions.
• Ensure risks associated with business activities are identified, measured, monitored, and controlled.
Requirements
• Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, or related discipline; or 4 years of related experience may substitute for a degree.
• 4 years of experience in data/analytics or functional business experience in the respective industry (P&C, Bank, Finance) OR an advanced degree with 2 years of relevant experience.
• Competency in mathematical and statistical techniques for fact-based decision-making.
• Intermediate and advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, and relevant industry data.
Nice-to-haves
• Experience supporting business analytics in marketing.
• Knowledge of building sophisticated reports that support business outcomes.
• Proven experience designing marketing tests in complex environments.
• Demonstrated knowledge of media mix optimizations using Marketing Mix Models and Multi-Touch Attribution.
• Experience in communicating insights to business teams.
Benefits
• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance coverage.
• Parental benefits and adoption assistance.
• Paid time off program with paid holidays and 16 paid volunteer hours.
• Various wellness programs.
• Career path planning and continuing education support.
Apply Now
Apply Now
Responsibilities
• Leverage intermediate and advanced analytical knowledge to collaborate with cross-functional teams on business objectives.
• Apply advanced analytical techniques to medium to large scale business problems impacting current and future strategies.
• Utilize innovative and quantitative analytical approaches to make actionable recommendations.
• Translate recommendations into communication materials for peer review and management presentation.
• Incorporate visualization techniques to enhance understanding for non-technical audiences.
• Identify and gather relevant data sources to address business problems through exploratory data analysis.
• Integrate and transform disparate data sources while applying appropriate data hygiene techniques.
• Document assumptions, methodology, validation, and testing for compliance and peer reviews.
• Adopt emerging technologies that enhance scientific methodologies and quantitative approaches.
• Deliver findings in a manner that influences management and drives business decisions.
• Ensure risks associated with business activities are identified, measured, monitored, and controlled.
Requirements
• Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, or related discipline; or 4 years of related experience may substitute for a degree.
• 4 years of experience in data/analytics or functional business experience in the respective industry (P&C, Bank, Finance) OR an advanced degree with 2 years of relevant experience.
• Competency in mathematical and statistical techniques for fact-based decision-making.
• Intermediate and advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, and relevant industry data.
Nice-to-haves
• Experience supporting business analytics in marketing.
• Knowledge of building sophisticated reports that support business outcomes.
• Proven experience designing marketing tests in complex environments.
• Demonstrated knowledge of media mix optimizations using Marketing Mix Models and Multi-Touch Attribution.
• Experience in communicating insights to business teams.
Benefits
• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance coverage.
• Parental benefits and adoption assistance.
• Paid time off program with paid holidays and 16 paid volunteer hours.
• Various wellness programs.
• Career path planning and continuing education support.
Apply Now
Apply Now