Associate Data Insight Analyst [T500-21930]

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 supports foundational analytics for our grocery and eCommerce business. You will help design dashboards, run queries, and build basic analytical summaries that support decisions across marketing, loyalty, merchandising, and omnichannel operations. This role is ideal for someone who wants to strengthen their analytical fundamentals and grow into more advanced statistical and modeling work.

Role and Responsibilities:

Reporting & Dashboarding:

• Build and enhance dashboards (Power BI, Tableau) to monitor sales performance, loyalty activity, customer funnel conversion, and digital engagement.
• Maintain basic KPI scorecards and ensure accuracy through routine data validation and consistency checks.

Analysis Execution:

• Write SQL queries to extract and clean datasets for routine reporting and exploratory analysis.
• Perform descriptive analytics: trend analysis, variance analysis, cohort tables, and basic correlation analysis.
• Conduct simple customer analyses such as RFM scoring, retention tracking, and promotional impact summaries.

Experimentation Support:

• Assist in A/B testing setup by pulling test/control samples and producing simple significance testing outputs (t-test, proportion tests).

Collaboration & Documentation:

• Work with U.S. analytics partners to refine reporting needs, automate recurring tasks, and document analytical workflows.
• Maintain organized data dictionaries, metric definitions, and report documentation to ensure consistency across teams.
• Validate data accuracy through statistical quality checks, outlier detection, and variance analysis.
• Partner with senior analysts to learn foundational statistical methods like linear regression, clustering basics, and forecasting.

Required Experience:

• Bachelor’s degree in Analytics, Statistics, Engineering, Business, Economics, or related fields.
• 1–2 years of experience in analytics or reporting (retail/eCommerce experience preferred).
• Strong SQL and Excel experience; familiarity with functions for summarization, pivoting, and basic statistical formulas.
• Experience with visualization tools (Power BI, Tableau).
• Strong interest in developing skills in regression, clustering, forecasting, and experimentation.
• Understanding of KPIs commonly used in retail/eCommerce (conversion, retention, AOV, unit movement, loyalty tiers).
• Ability to communicate data insights clearly to non-technical stakeholders.