Responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
• Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
• Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
• Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
• Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
• Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
• Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
• Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
• Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
• Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
• Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
• Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
• Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
• Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
• Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
• Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
• Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences

Preferred

• Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
• Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear business recommendations
• Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes
• Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency

Benefits

• We offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.