Analytics Engineer, Real Estate Data Strategy & Analytics

We’re Salesforce, the Customer Company. If you believe in bringing companies and customers together, in business as the greatest platform for change, in creating a more equitable and sustainable future for all –well, you’re in the right place. Through our #1 CRM, Customer 360, we help companies blaze new trails and connect with their customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and growth, charting new paths, and improving the state of the world.

At Salesforce, our unique office design is a powerful expression of who we are and what we care about. We want to make an impact on every person who enters our spaces by crafting and maintaining an inspiring environment. We dream up and build environments that create a sense of belonging. Together our team challenges the status quo to reimagine everyday experiences in Salesforce campuses and towers across the globe. Our team is seeking an experienced manager to lead our analytics team and drive data-driven decision-making across our real estate portfolio.

We are seeking an Analytics Engineer to join our team to help us manage and analyze real estate data including building occupancy, work orders, project management, and transactions. The ideal candidate will have a strong background in data engineering and analysis, and be familiar with dbt cloud and Snowflake.

Responsibilities:

Develop, maintain and optimize dbt data pipelines and data models to support real estate analytics
Work collaboratively with analysts to build the datasets required for our Tableau analytics
Work closely with cross-functional teams to identify business requirements and provide datasets
Ensure data accuracy, integrity, and availability by implementing appropriate data quality checks and monitoring processes
Continuously explore new technologies and data tools to improve analytics engineering processes and data analysis capabilities
Collaborate with data scientists and analysts to build predictive models and algorithms
Perform data extraction, transformation, and loading (ETL) processes on various data sources

Qualifications:

Minimum of 3 years of experience in data engineering, data analytics, or related roles
Strong experience with dbt cloud and Snowflake (or similar cloud warehouse)
Strong experience in SQL and data modeling
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
Strong communication skills and the ability to work collaboratively with cross-functional teams
Strong analytical and problem-solving skills
Experience with ETL processes, and data warehousing concepts
Knowledge of Python or other scripting languages
Experience working with real estate data including building occupancy, work orders, project management, and transactions

‌