Responsibilities

• Lead digital analytics initiatives supporting enterprise marketing efforts across owned and paid digital channels
• Conduct advanced analysis of digital and marketing data to identify patterns, trends, and insights that inform campaign optimization and customer engagement strategies.
• Partner with cross-functional teams including Marketing, Media, Product, Finance, and IT to understand business objectives and develop data-driven solutions aligned to enterprise goals.
• Design, implement, and evolve marketing measurement frameworks to assess channel, campaign, and customer performance across the full marketing funnel.
• Leverage customer lifetime value (LTV) and customer acquisition cost (CAC) frameworks to evaluate marketing efficiency, ROI, and long-term business impact.
• Collaborate with Marketing stakeholders to align on LTV:CAC assumptions, attribution methodologies, and performance measurement standards.
• Translate LTV:CAC and marketing performance insights into actionable recommendations for budget allocation, channel prioritization, and growth optimization
• Develop and maintain executive-ready dashboards, scorecards, and recurring performance reporting to provide timely and actionable insights.
• Continuously monitor digital performance to identify opportunities for optimization, efficiency improvements, and incremental growth.
• Communicate analytical findings and strategic recommendations clearly and effectively to both technical and non-technical audiences, including senior leadership.
• Support experimentation and testing initiatives (e.g., A/B and multivariate testing) by defining measurement methodologies and analyzing results.
• Collaborate with data engineering and IT teams to ensure accurate, reliable, and timely data availability

Requirements

• 5–8 plus years of hands-on experience driving data science and advanced analytics initiatives, with demonstrated impact on business outcomes
• Advanced quantitative background with a degree in Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field; Master’s or PhD strongly preferred
• Deep understanding of statistical modeling and machine learning techniques, including (but not limited to):
• Regression and causal inference (MMM, attribution, uplift modeling)
• Segmentation and clustering
• Propensity, churn, LTV, and response modeling
• Experimentation and A/B testing
• Demonstrated ownership of analytics and data science initiatives end‑to‑end, from problem definition and data exploration through model development, validation, deployment, and measurement of business impact
• Proven self‑starter with the ability to independently identify high‑value marketing and customer opportunities, structure ambiguous problems, and drive projects to completion with minimal direction
• A proven change agent with the ability to challenge assumptions, influence without authority, and drive adoption of analytical solutions within the organization
• Knowledge of Python/PySpark.
• Ability to frame problems, dive deep into analyzing complex data sets, evaluate implications and communicate insights.
• A change agent, someone who has a strong foundation in data and analytics in a retail environment (pricing, digital marketing and supply chain experience is a plus)
• Experience in a Marketing, Merchandising or Customer Analytics environment is preferred including optimization of customer acquisition/ retention, churn modeling etc.
• Excellent communications skills with respect to translating business needs into a data analysis approach and translating results back into business terms to communicate to leadership.
• Ability to work collaboratively as a member of cross-functional teams to deliver results.
• Should have a result-oriented approach and ability to work efficiently within deadlines
• Highly analytical, strategic, and detail-oriented, with a commitment to excellence and a passion for understanding the business implications of analytical results
• Proactive, always looking ahead and anticipating consumers & business needs and challenges.
• Flexible self-starter who flourishes in a dynamic environment; must be able to work with minimal direction

Preferred

• A strategic consulting background that has given them a broad scope of experience, the ability to support multiple initiatives simultaneously and present findings to senior leadership are preferred, given their prior training in skills relevant to this role.

Benefits

• Competitive wages paid weekly
• Associate discounts
• Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
• Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits
• Leaders invested in your training, career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve
• Our Values – Click below to view video: ACI Values