Lead Digital Analyst Marketing, Loyalty and Customer Analytics
Albertsons Companies, Pleasanton, CA, United States
Albertsons Companies is seeking an experienced Lead Digital Analyst to join our Enterprise Marketing Analytics team. In this role, you will drive data‑informed decision‑making across our digital marketing ecosystem by delivering actionable insights, performance measurement, and optimization recommendations. You will partner closely with marketing, loyalty, CRM, and technology teams to translate digital data into meaningful business impact.
Main 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.
We Are Looking For Candidates Who Possess The Following
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.
High energy, intellectual curiosity, and passion for problem‑solving and comfort with ambiguity.
We Also Provide a Variety Of Benefits Including
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
A copy of the full job description can be made available to you.
#J-18808-Ljbffr
Main 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.
We Are Looking For Candidates Who Possess The Following
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.
High energy, intellectual curiosity, and passion for problem‑solving and comfort with ambiguity.
We Also Provide a Variety Of Benefits Including
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
A copy of the full job description can be made available to you.
#J-18808-Ljbffr