Senior Data Analyst [T500-29888]

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.

We are excited to announce an opening for Senior Data Analyst at ACI. Please find below the details of the role and its responsibilities.

Senior Data Analyst – E-commerce Fulfillment

Skills Required:

• Power BI, Tableau, Data Analysis, SQL.

Experience Range:

• 6 - 9 years

Location: Global Capability Center, India.

The Senior Data Analyst will play a critical role in driving data-driven decision-making across the e-commerce fulfillment product area. This position is responsible for leading data analysis, generating actionable insights, and supporting the entire product lifecycle—from discovery to post-launch evaluation. The Senior Data Analyst will partner closely with product managers to understand business needs, uncover patterns in user behavior, and identify opportunities for product improvement. Additionally, this role will mentor and coach junior analysts, ensuring high analytical standards and fostering a culture of learning within the team. the e-commerce fulfillment journey. experiments, and measure post-launch outcomes. stakeholders in a clear and impactful manner. datasets efficiently and accurately. automation initiatives in fulfillment. requirements, and success measures role.

Key Responsibilities:

• Generate actionable insights by identifying trends, patterns, and opportunities across business or product context.
• Partner with product managers to define metrics for product discovery, evaluate e-commerce or technology environment.
• Design and implement dashboards and reports to communicate.
• Apply advanced SQL and data extraction techniques to analyze large, complex items into actionable insights.
• Utilize machine learning concepts to identify predictive trends and support intelligent technical and non-technical audiences.
• Collaborate with engineering, UX, and business teams to ensure alignment on goals,
• 4+ years of experience in data analysis, business intelligence, or a similar data-driven
• Demonstrated expertise in SQL for data extraction, manipulation, and analysis.
• Strong understanding and practical application of machine learning concepts in a
• Experience working with product managers and cross-functional teams in an
• Advanced skills in SQL and data extraction from large, complex datasets.
• Ability to translate business questions into analytical approaches and deliver clear,
• Strong communication skills, including the ability to present data and findings to both
• Experience with data visualization tools and reporting platforms.
• Mentoring and coaching junior team members.
• Ability to collaborate with product, engineering, and business stakeholders.
• Analytical mindset and curiosity for identifying patterns and solving problems.
• Exceptional attention to detail and accuracy in data work.
• Ability to break down complex data problems into manageable components.
• Strong collaboration and teamwork skills.
• Bias for action and a sense of ownership over outcomes.
• Customer-focused thinking when interpreting data and making recommendations