Senior Data Scientist Jobs | Anza Renewables Jobs San Ramon

Anza is combining data, technology and expertise to revolutionize the outdated, manual solar and storage procurement process. In 2021, driven by these inefficient procurement processes, increasing volatility in supply chains and the ever-present need to reduce solar and energy storage project costs, we saw both a market need and an opportunity to dramatically improve procurement outcomes. As a result, members of the Borrego team launched Anza. Anza is a procurement platform and service that offers our customers a way to compare many options instantly and then select the highest-value solar and storage products for their projects. Our vision is to be the place the solar and storage industry goes to rapidly make optimal design and procurement decisions.At Anza, we don’t accept the status quo. We are driven by a culture of teamwork, a growth mindset and continuous improvement as we pursue our mission to accelerate the adoption of renewable energy. We have surpassed our growth goals since inception and are looking forward to continuing to build a great team and platform. We believe in having an ownership company culture, so we have implemented an attractive equity program. Join us!

Our Senior Data Scientist will analyze and interpret complex data to help Anza make informed decisions and solve problems. This role will be reporting to our Director of Applications Development

• Develop data models, reports, and dashboards from requirements through production
• Integrate and transform data for analysis using SQL, ETL tools, and API integrations
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Build a data catalog, and data dictionary and make data searchable for our stakeholders and users
• Build and manage our ETL pipelines using Fivetran and other tools to ensure a streamlined and accurate flow of information into our data warehouse (BigQuery)
• Perform data analysis to identify trends, patterns, and anomalies, presenting findings in a clear and concise manner
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.