Overseeing user acceptance testing for web application users
Working with internal clients to debug, reproduce, document, and fix support problems for production web application systems
Creating visualizations and dashboards using BI tools (e.g. Tableau)
Planning and monitoring of resources to complete projects on time and on budget
Technology research and literature searches
Assisting with program design and implementation
Facilitating and monitoring the progress of projects and communicating progress to internal stakeholders
Organizing and facilitating in-person meetings and conference calls with internal stakeholders
Coordinating implementation activities between internal technical teams and consulting stakeholders
Triaging reporting and software requests to staff and overseeing completion of timely and high-quality deliverables
Managing rollout of software and reporting initiatives to business stakeholders
Leading a team of subject matter experts in execution of regular system updates
Requirements
Bachelor’s degree in energy-related discipline with environmental, electrical, information systems management or mechanical engineering preferred, or quantitative background
A minimum of 5 years of work experience and/or graduate school
A minimum of 7 years of work experience in lieu of a bachelor’s degree
Demonstrated ability to conduct detailed technical and quantitative analysis, knowledge of data science, and/or experience with information systems management such as SQL
Data literacy as exhibited through a functional understanding of data granularity, data types, and relational databases
Intermediate experience with BI tools such as Tableau, PowerBI or equivalent
Intermediate experience with ticketing systems such as Jira or equivalent
Experience using Microsoft Office on an intermediate level
Exceptional attention to detail and strong organizational and project management skills
Formidable technical writing and verbal communication skills
Experience managing technical projects and/or small technical project teams.
Projects that establish efficient and scalable routines and processes for data delivery, manipulation, and cleansing.
Projects requiring the design and implementation of simple ETL pipelines; or the configuration of moderately complex low