About Albertsons Companies Inc.:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India:

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Job Summary:

This role focuses on mid-level analytical and statistical work to support eCommerce growth, marketing efficiency, loyalty activation, and omnichannel performance. You will design analytical solutions, conduct deeper statistical modeling, and support experimentation frameworks that help optimize customer journeys and personalization.

Role and Responsibilities:

Analytical Product Ownership:

• Own mid-sized analytical workstreams such as customer segmentation, eCommerce funnel diagnostics, offer performance analytics, and multi-touch engagement tracking.
• Build robust dashboards incorporating drill-downs, dynamic filtering, and automated data refreshes.

Statistical & Predictive Modeling:

• Apply intermediate modeling techniques including:
• Linear and logistic regression for KPI driver analysis
• Time series (ARIMA, ETS) for forecasting demand or traffic
• Clustering (k-means, hierarchical) for behavior-based segmentation
• Support predictive models such as churn propensity, category affinity, and next-purchase prediction.

Experimentation & Causal Analysis:

• Lead A/B test analysis and compute lift, confidence intervals, and basic CUPED variance adjustments.
• Provide insights on campaign performance, personalization tests, and onsite feature rollouts.

Marketing & Loyalty Insights:

• Conduct analysis of promotion elasticity, offer redemption behavior, campaign ROI, and loyalty engagement (tier migration, reward redemption patterns).
• Build datasets to support marketing automation and customer targeting.

Cross-Functional Collaboration:

• Partner with data engineering teams to shape datasets, ensure pipeline reliability, and validate model performance.
• Present analytical insights to marketing, merchandising, and product teams, shaping tactical decisions.

Required Experience:

• Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Engineering, or related fields.
• 2–4 years of experience in analytics with exposure to statistical modeling (retail/eCommerce preferred).
• Strong SQL skills and experience working within cloud platforms (Snowflake, Databricks).
• Hands-on experience with Power BI or Tableau and experience designing analytic-ready data models.
• Working knowledge of predictive analytics and methods such as regression modeling, clustering, uplift modeling, and time-series forecasting.
• Experience using Python for data wrangling, modeling, or statistical analysis is preferred.
• Ability to independently structure analytical problems, validate assumptions, and communicate insights clearly.