Principal Analyst [T500-27324]

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 the 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.

Position Title: Principal Analyst

Roles & Responsibilities:

• Conduct end-to-end product analytics to support feature development, shopper-journey optimization, and continuous improvement across web and app experiences.
• Utilize big-data analytics, experimentation, and test-and-learn methodologies to uncover actionable insights that drive the Digital Shopper Experience.
• Manage key quantitative measures across digital channels, including page engagement, site friction points, traffic and conversion metrics, personalization performance, and transactional behaviors.
• Take an answers-first approach to analytics by understanding business objectives, determining what data is needed, and proactively shaping visibility into KPIs and product performance.
• Deeply understand data tables, schemas, and data architecture; partner closely with data engineering and business teams to design the optimal approach for extracting, modeling, and presenting data (BI dashboards, automated pipelines, ML-powered interfaces, etc.).
• Identify unmet data needs and work with cross-functional teams to ensure they are resolved in a timely and scalable manner.
• Build automated and scalable reporting pipelines that provide intuitive, reliable visibility into product and shopper experience performance.
• Create clarity amid ambiguity—take initiative in shaping analytical approaches, defining requirements with stakeholders, and navigating complex or unclear data environments.
• Foster a data-driven culture by increasing accessibility to insights, improving data visibility across teams, and promoting best practices in measurement and experimentation.
• Partner with product, UX, engineering, and business stakeholders to define success metrics, design experiments, and translate behavioral data into meaningful business outcomes.
• Communicate insights and recommendations clearly and succinctly to senior leadership, ensuring insights lead to well-informed decisions and strategic prioritization.
• Build trust and strong relationships across a wide variety of internal and external partners; represent the analytics function effectively and collaboratively.
• Contribute to a test-and-learn culture by designing experiments, measuring impact, and driving continuous improvement across the customer journey.

Experience Required:

• 12+ years of experience in product analytics, digital analytics, or data analysis, ideally in e-commerce, retail, grocery, or consumer digital products.
• Experience conducting user behavior analysis, funnel analysis, and experimentation (A/B testing).
• Strong SQL skills and experience with analytics tools (e.g., Snowflake, BigQuery, Databricks, Looker, Tableau).
• Familiarity with product development processes and agile methodologies; ability to partner effectively with product managers. engineers and UX teams.
• Experience defining KPIs, building dashboards, and automating recurring reporting.
• Strong communication skills with the ability to translate complex data into actionable insights for both technical and non-technical audiences.

Skills Required:

• Adobe Analytics - Expert – metric frameworks, interpretation, QA, governance
• SQL - Advanced – complex logic review, joins, data validation
• Power BI - Advanced – design standards, model review, storytelling
• Data Validation & QA - Expert – final sign off on data credibility
• Funnel & Conversion Analysis - Expert – cross funnel strategy
• Product Analytics - Advanced – success metrics & outcome framing
• Experiment Readouts - Advanced – impact framing & risk interpretation
• Attribution (Working Knowledge) - Advanced – narrative & leakage identification
• Project / Delivery Management - Advanced – prioritization & dependency management
• Stakeholder Management - Expert – exec alignment & influence
• Insight Storytelling - Expert – exec level narratives
• Documentation & Standards - Advanced – sets standards