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 modeling and building analytical data layers.
Hands-on experience with modern cloud data platforms such as Snowflake or Databricks.
Strong SQL and database development skills.
Experience working with multiple data sources and integrating disparate datasets.
Understanding of cloud computing and modern data architecture.
Strong focus on data quality, governance, reliability, and performance.

Business & Domain Experience:

Experience solving business problems using data and database technologies, rather than purely technical data engineering.
Experience working with revenue, financial, pricing, yield, or commercial analytics is highly desirable.
Experience working with marketing technology, advertising technology, or digital media data is a strong advantage.
Exposure to DSP/SSP, ad-serving, advertising performance, or campaign data would be valuable.
Experience integrating financial data with operational/marketing data is a plus.

Good to Have:

Experience with Marketing Technology (MarTech) or Advertising Technology (AdTech) ecosystems.
Experience working with DSPs, SSPs, ad servers, or digital advertising platforms.
Experience with revenue management, pricing analytics, yield management, or financial analytics.
Experience integrating Salesforce and other enterprise SaaS platforms into analytical data environments.
Experience supporting global or multi-region data ecosystems.

Lead Data Insight Analyst - Data warehousing