Senior Data Analyst

About Albertsons Companies India
Albertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.
Job Description
We are excited to announce an opening for Senior Data Analyst at ACI. Please find below the details of the role and its responsibilities.
Skills Required:
Power BI, Tableau, Data Analysis, SQL
Experience Range:
6 - 9 years
We are excited to announce an opening for Senior Data Analyst at ACI. Please find below the details of the role and its responsibilities.
About Albertsons Companies Inc. (ACI):
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.
Senior Data Analyst E-commerce Fulfillment
Location: Global Capability Center, India.
Company: Albertsons Companies.
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 lifecyclefrom 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