Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.
We are currently seeking a Business Systems Analyst to join our Information Systems team to liaison with our business counterparts and external market customers. This role will help drive product development and implementation of our key, critical software platform, and provide tier 2/3 technical support of our market-facing APIs. You will bring strong analytical strength and solid communication skills to work collaboratively with internal and external stakeholders to define and support software APIs, projects, and platforms. This position is perfect for individuals who have strong skills in communicating complex technical ideas into simple business language and can influence the decisions from the customers, business, and engineers.
This is a hybrid work opportunity. At ES, this means working onsite at one of our offices a minimum of 1 day/week (currently Wednesdays) with flexibility for the remainder of the days. ES has offices in Oakland, CA, Orange, CA, Portland, OR, Chicago, IL, and Boston, MA. This role will need to observe Central Time working hours.
At this time, we are not accepting applications from candidates residing in the following states: Alaska, Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming.

MINIMUM QUALIFICATIONS:

• BS/BA in Computer Science, Physics/Engineering, Business or Mathematics
• Experience in building ETL data pipelines, real-time pipelines are a plus
• Strong programming skills in Python and SQL
• Minimum 2 years of data warehouse development and strong fundamentals in dimensional data modeling
• Minimum 2 years of experience creating SQL queries and ETL design, implementation, and maintenance
• Minimum 2 years of experience developing data pipelines using Python
• Minimum 2 years of experience with AWS, AWS Redshift, AWS Data Engineering and ML Ops tools and services (i.e: S3, Redshift, RDS)
• Proven ability to aggregate, normalize, munge, analyze, and summarize value from disparate datasets
• Strong oral, written, and interpersonal communication skills
• High degree of accuracy and attention to detail
• Ability to establish priorities and work independently with minimum supervision

PREFERRED QUALIFICATIONS:

• Ability to manage and communicate data warehouse plans to a non-technical audience
• Expertise in cloud services architecting and designing secure AWS environments
• Experience using BI tools like Tableau and Looker
• Experienced in analyzing and troubleshooting data quality issues
• Self-driven, highly motivated, and able to learn quickly
• Familiarity with large data sets, cloud-based development and deployment, open-source practices and frameworks, and intelligent applications is desirable
• Proven success in migrating data from legacy systems

COMPENSATION TO COMMENSURATE WITH EXPERIENCE WITH THE PAY BAND OF $92K - $120K/ANNUALLY

Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

• Collaborate with stakeholders to understand data requirements and develop data-driven solutions that support business goals
• Analyze data sources and pipelines needed for the various data projects
• Design and implement scalable data pipelines, ETL processes, and data integration solutions for the IRIS project using Python, SQL, and AWS technologies
• Develop and maintain a data warehouse and optimize data storage, processing, and retrieval
• Build schema, populate the database, and automate reporting
• Document and maintain technical specifications, ETL processes, data mappings, and dictionaries
• Support the Data Science Center of Excellence (DSCOE) with other data engineering needs