Lead Data Insight Analyst - Data warehousing T500-29065

Position: Lead Data Insight Analyst - Data warehousing [T500-29065]
Location: Vasanthanagar

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.

About Albertsons India Capability Center:
At Albertsons India Capability Center, 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 India Capability Center, 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 India Capability Center, 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.

About the Role:

Value proposition:  Build and maintain a robust, governed data ecosystem that ensures data accuracy, consistency, and availability across regions.

What You Will Do:

Design, build, and maintain  enterprise-grade data warehouses and data models  supporting revenue and business analytics.
Develop and optimize  ETL/ELT pipelines  to integrate data from multiple internal and external sources.
Build trusted and governed  revenue datasets and analytics layers  that enable consistent reporting and business decision-making.
Design complex  data warehouse schemas, dimensional models, and analytical data structures  for financial and business users.
Integrate data from advertising, marketing, CRM, and financial platforms to create a unified view of business performance.
Work with data related to  revenue, pricing, yield, advertising performance, and financial processes .
Build data solutions that support use cases such as:
Monthly and Quarterly Business Reviews
Revenue and financial analysis
Executive reporting and decision support
Pricing and yield analytics
Business performance measurement
Eventually Partner with the  AdTech Measurement team  to progressively extend the revenue data warehouse to incorporate measurement data.
Ensure data pipelines and warehouse solutions meet standards for  data quality, accuracy, consistency, scalability, and availability across regions .
Monitor and troubleshoot ETL/data pipelines and drive improvements in data reliability and performance.
Work closely with business stakeholders to understand business problems and translate them into effective database and data engineering solutions.
Contribute to the evolution of the organization’s cloud data architecture and analytics ecosystem.

Data Ecosystem:
You will work with data from a diverse set of platforms, including:
Ad Servers
Google Ad Manager
The Trade Desk / DSP platforms
Facebook / Meta
Pinterest
Salesforce CRM
Financial and accounting systems
Other marketing technology and business data sources

What We’re Looking For:

Core Technical

Skills:

Strong experience in  Data Warehousing
Hands-on experience designing and developing  data warehouse schemas and data models .
Strong understanding of  ETL/ELT design, development, and operations .

Experience with  BI data…