Data Analyst [T500-29889]

About Albertsons:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others.

Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging.

Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company.

About Tech Hub in India:

Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons' first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The employees at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence.

Data Analyst – E-commerce Fulfillment

Experience: 3–6 Years

Location: Global Capability Center, India

Role Overview:

We are looking for a Data Analyst to support data-driven decision-making across the E-commerce Fulfillment product area.

The Data Analyst will work closely with Product Managers, Engineering, UX, and business stakeholders to analyze complex datasets, identify trends and patterns, develop meaningful insights, and support product and business decisions throughout the product lifecycle.

The role will involve working with large datasets, developing dashboards and reports, defining and tracking key performance indicators, and translating business questions into actionable analytical solutions.

The ideal candidate should have strong hands-on experience in SQL and data analysis, along with proficiency in Power BI, Tableau, or similar data visualization tools. Experience in e-commerce, retail, fulfillment, supply chain, logistics, or other technology-driven environments will be an advantage.

Key Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, anomalies, and opportunities across the e-commerce fulfillment journey.
• Partner with Product Managers and business stakeholders to understand business problems and translate them into analytical requirements.
• Develop and maintain SQL queries to extract, transform, validate, and analyze data from multiple sources.
• Create and maintain Power BI, Tableau, or similar dashboards and reports to effectively communicate business and product performance.
• Define and monitor key performance indicators (KPIs) and metrics to measure product and business outcomes.
• Support product discovery by providing data-backed insights into customer behavior, operational performance, and fulfillment processes.
• Conduct exploratory and descriptive analysis to identify opportunities for process and product improvements.
• Support A/B testing, experimentation, and post-launch analysis by measuring outcomes and identifying meaningful trends.
• Work with Product, Engineering, UX, and business teams to ensure alignment on data requirements, metrics, and success criteria.
• Perform data validation and quality checks to ensure accuracy, consistency, and reliability of analytical outputs.
• Translate complex analytical findings into clear and actionable insights for both technical and non-technical stakeholders.
• Identify opportunities to automate recurring reports and analytical processes to improve efficiency.
• Contribute to the development of analytical frameworks and standardized reporting practices.
• Stay curious about business and customer problems and proactively identify areas where data can enable better decision-making.

Required Skills & Qualifications:

• 3–6 years of experience in Data Analytics, Business Intelligence, Product Analytics, or a similar data-driven role.
• Strong hands-on expertise in SQL, including querying, joins, aggregations, subqueries, CTEs, and data manipulation.
• Experience working with large and complex datasets and extracting meaningful insights from them.
• Proficiency in at least one data visualization and reporting tool such as Power BI or Tableau.
• Strong understanding of data analysis, data interpretation, and analytical problem-solving.
• Ability to translate business questions into analytical approaches and measurable metrics.
• Experience developing dashboards and reports for business and leadership stakeholders.
• Strong understanding of data quality, validation, and accuracy.
• Good understanding of statistical and analytical concepts.
• Strong communication skills with the ability to present data-driven insights clearly to technical and non-technical audiences.
• Ability to work effectively with Product, Engineering, UX, and business teams.
• Strong attention to detail and ability to manage multiple analytical requirements simultaneously.
• Demonstrated ownership, curiosity, and a bias toward solving problems using data.

Good to Have:

• Experience in e-commerce, retail, fulfillment, supply chain, logistics, or marketplace environments.
• Experience working closely with Product Managers or Product teams.
• Exposure to customer journey, conversion, fulfillment, delivery, inventory, or operational analytics.
• Knowledge of Python/R for data analysis and automation.
• Understanding of cloud data platforms such as Azure, AWS, or GCP.
• Exposure to machine learning concepts and their application in business or product analytics.
• Experience working with experimentation, A/B testing, or predictive analytics.
• Experience with data warehouses, data lakes, or modern BI ecosystems.

Key Competencies:

• Analytical and problem-solving mindset
• Strong SQL and data interpretation skills
• Business and customer-oriented thinking
• Data visualization and storytelling
• Stakeholder management
• Attention to detail and data accuracy
• Collaboration and teamwork
• Ownership and accountability
• Ability to work in a fast-paced environment
• Curiosity and continuous learning

Success in this role will involve consistently delivering accurate, actionable, and timely insights that help Product and business teams make informed decisions. The Data Analyst will be expected to independently manage analytical problems, build reliable reporting solutions, identify opportunities through data, and effectively communicate findings to stakeholders.

The role offers an opportunity to work on large-scale e-commerce fulfillment problems and contribute to initiatives that directly influence customer experience, operational efficiency, and product performance.