Lead Digital Analyst Marketing, Loyalty and Customer Analytics

Albertsons • Pleasanton, CA

23h

About The Position

Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are looking for someone who’s not just seeking a job, but someone who wants to make an impact. In this role, you’ll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that’s constantly evolving. 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 The ideal candidate brings deep experience in digital analytics, strong business acumen, and the ability to lead analytical initiatives that influence marketing strategy and execution on scale This role will act as a lead individual contributor, helping connect eCommerce and omni-channel data to customer analytics insights, and partnering closely with cross-functional and offshore teams to drive measurable growth. To be successful in this role, you will need to exhibit strong business acumen, have a strategic thought process, be hands-on with data tools, and work cross functionally with our merchandising, owned brands, loyalty, marketing, and products teams. Additionally, candidates who have 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. The grocery industry is underdeveloped in eCommerce, and this person will contribute to influencing the future of grocery eCommerce and establish Albertsons as an industry leader. There are very few places where you can have this much customer and business impact and help shape the future of an entire industry. If you are up to the challenge, we would love to talk to you!

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)
• 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.

Nice To Haves

• Experience in a Marketing, Merchandising or Customer Analytics environment is preferred including optimization of customer acquisition/ retention, churn modeling etc.

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

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).
• Leaders invested in your training, career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level