Murphy Oil
Manager of Customer and Marketing Analytics
Murphy Oil, El Dorado, Arkansas, us, 71731
Job Posting
Job Description:The Manager of Customer & Marketing Analytics will be responsible for the creation of a deep understanding of the Murphy USA and QuickChek customer segmentation, statistical modeling, descriptive analysis, and related learning methodologies in service of propelling marketing strategy forward. This person will have a direct hand in driving business decisions and building the innovation roadmap through a customer centric POV.The ideal candidate is an energetic, self-starter who has a passion for customer insights and determining what matters to drive behavior. They must have the technical knowledge of data, customer analytics, and research methodology, with the ability to apply these skills to set learning agendas, deliver analytics, and tell stories in a simple, yet compelling way. In addition, this person must be able to work independently as a "player-coach", possess strong communication skills, and have experience in driving data-driven decisions to key stakeholders.Essential Duties and Responsibilities:•Partner cross-functionality with various organizations across the business (digital/loyalty, marketing, data science and data engineering) to mine and synthesize data into an actionable strategy•Identify areas of optimization and incremental growth for the business; sharing responsibility for customer and marketing analytics while acting as a thought-partner to drive initiatives with business leadership•Work independently to pull data, perform in-depth analyses, identify trends, and extract meaningful information to customer performance, marketing effectiveness, and general business trends•Lead analytics resources, in partnership with data scientists, to deliver customer and marketing insights and distill critical learning to cross-functional stakeholders•Distills complex, detailed issues and data down to easily understood, presentable, and actionable findings/recommendations with creative solutions•Measures digital/loyalty initiatives and effectiveness, based on various objectives and key performance indicators; understands key drivers of customer behavior and the relationship with marketing levers•Identifies evolving business needs, industry trends, and advancements that can enhance the team's understanding of customer activityEducation and Experience:•Bachelor's Degree in relevant field (Analytics, Information Technology, Mathematics, Statistics, Marketing, Data Science); or credentials within related data/analytical fields•7+ years of experience working with customer and/or transactional data•Experience with data query tools (SQL)•Experience with data visualization tools (PowerBI, Tableau)•Experience with Microsoft Office Suite•Ability to understand business objectives and requirements, organize and interpret research results, and deliver insights and recommendations in the marketing environment•Must possess strong abilities and interest in analyzing and extracting useful, business-related information from large amounts of customer, shopping, traffic, revenue, and pricing data•Can handle high volumes of work with ability to prioritize effectively and hit promised timelines•Knowledge of one, or more, statistical programming languages (R, SQL, SAS, and/or Python) preferred, but not required
Job Description:The Manager of Customer & Marketing Analytics will be responsible for the creation of a deep understanding of the Murphy USA and QuickChek customer segmentation, statistical modeling, descriptive analysis, and related learning methodologies in service of propelling marketing strategy forward. This person will have a direct hand in driving business decisions and building the innovation roadmap through a customer centric POV.The ideal candidate is an energetic, self-starter who has a passion for customer insights and determining what matters to drive behavior. They must have the technical knowledge of data, customer analytics, and research methodology, with the ability to apply these skills to set learning agendas, deliver analytics, and tell stories in a simple, yet compelling way. In addition, this person must be able to work independently as a "player-coach", possess strong communication skills, and have experience in driving data-driven decisions to key stakeholders.Essential Duties and Responsibilities:•Partner cross-functionality with various organizations across the business (digital/loyalty, marketing, data science and data engineering) to mine and synthesize data into an actionable strategy•Identify areas of optimization and incremental growth for the business; sharing responsibility for customer and marketing analytics while acting as a thought-partner to drive initiatives with business leadership•Work independently to pull data, perform in-depth analyses, identify trends, and extract meaningful information to customer performance, marketing effectiveness, and general business trends•Lead analytics resources, in partnership with data scientists, to deliver customer and marketing insights and distill critical learning to cross-functional stakeholders•Distills complex, detailed issues and data down to easily understood, presentable, and actionable findings/recommendations with creative solutions•Measures digital/loyalty initiatives and effectiveness, based on various objectives and key performance indicators; understands key drivers of customer behavior and the relationship with marketing levers•Identifies evolving business needs, industry trends, and advancements that can enhance the team's understanding of customer activityEducation and Experience:•Bachelor's Degree in relevant field (Analytics, Information Technology, Mathematics, Statistics, Marketing, Data Science); or credentials within related data/analytical fields•7+ years of experience working with customer and/or transactional data•Experience with data query tools (SQL)•Experience with data visualization tools (PowerBI, Tableau)•Experience with Microsoft Office Suite•Ability to understand business objectives and requirements, organize and interpret research results, and deliver insights and recommendations in the marketing environment•Must possess strong abilities and interest in analyzing and extracting useful, business-related information from large amounts of customer, shopping, traffic, revenue, and pricing data•Can handle high volumes of work with ability to prioritize effectively and hit promised timelines•Knowledge of one, or more, statistical programming languages (R, SQL, SAS, and/or Python) preferred, but not required