We are working with our client to hire a senior business intelligence software engineer. 

The Business Intelligence Department operates and maintains the analytical platform on GCP /Looker. The goal is to maximize customer satisfaction, financial performance, and resource efficiency. The Business Intelligence Engineer is responsible for our client's overall analytical initiative, and this role is a combination of statistician + computer scientist + designer + leader. Recommendations will directly influence the way our client operates and maintains existing BI Enterprise solution in areas of energy production, Sales Platform, Web analytics, Salesforce, ERP applications.

As a senior member of the team, an excellent candidate will demonstrate experience guiding and supporting their and other teams in various analytical functions. This is a high impact opportunity to shape our client's strategy._ _

RESPONSIBILITIES 

• Improve the accuracy and reliability of energy performance estimations
• Identify and characterize the root cause of variance between expected and actual performance
• Translate this variance analysis into actionable recommendations for the Field Service team
• Develop a strong understanding of business processes for functions such as Sales, Finance, and HR in order to be able to better support their Business Intelligence needs.
• Take dashboard requirements from concept to reality.
• Evangelize Business Intelligence solutions across the enterprise.
• Analyze information and reporting business requirements, explore and evaluate various options, develop a prototype using reporting and dashboard tools up front in the project life cycle thereby validating the requirements, eliminating ambiguity and providing early
• visibility to the business on the final solution.
• Participate in the design of the Data warehouse data model and provide input and feedback from a Business Intelligence tool perspective.
• Translate the functional requirements to high-level design and build technical specifications document.
• Work closely with BI Architect in designing and developing logical models, reports, dashboards and implement report security solutions.
• Create complex logical models while enabling them for users in an intuitive fashion.
• Participate and assist in User Acceptance Testing, train super users and power users on usage of the tool and the solution.
• Utilizing AWS ECS, DynamoDB, Kinesis, Athena, S3, API Gateway, CloudFormation, with Node.js and Java

REQUIRED QUALIFICATIONS:

• Bachelor's Degree in Computer Science, or related field
• 10+ years work experience
• Expert level Extract Transform Load (ETL) experience using Python, Spark, Hadoop,Apache Beam, or similar technologies
• Advanced skills and programming experience with Java or Python
• Experience with Big Data and knowledge of data warehousing concepts, methodologies, and frameworks
• SQL & NoSQL analytical expertise, data modeling, and relational database experience
• Experience on Unix/Linux OS, general server administration and Shell scripting experience required
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with Machine Learning methods and libraries
• Ability to communicate technical concepts to a business-focused audience.
• Familiarity with applied machine learning and data mining techniques to gain unexpected insights and applying sophisticated data modeling techniques to identify underlying trends and patterns (supervised/unsupervised classification, time series, probabilistic models)
• Expert user of statistical analysis tools (e.g. MatLab, R, JMP, Python, etc.)

Desired

• Experience with Cloud platforms such as GCP (dataproc, dataflow, big query, cloud sql, big table)
• Experience working with Cloud solutions , preferably with GCP - Data flow , Data proc , NoSQL data sources (e.g. Hadoop, Dynamo, MongoDB, etc.)
• Data visualization experience using Looker
• Excellent data visualization skills and ability to create interactive visualizations

This is a fulltime role that can be based in San Jose, San Francisco or Denver.