Senior Data Analyst
About Enersponse, LLC
Enersponse is a Distributed Energy Resource (DER) Management company, bringing Grid Operators and Utilities together with power consumers of all sizes. We bring grid service programs, such as Demand Response, Demand Management, Peak Shaving, Energy Hedging, Energy Efficiency, and Auto-DR to customers that require a more sophisticated approach through building automation.
We partner with utilities, electricity suppliers as well as building and energy management system providers to achieve the overall goal of decarbonizing energy bringing stability to the grid.
Our Mission
To make energy conservation programs more accessible by intelligently automating Distributed Energy Resources, providing flexibility, convenience, and risk-free opportunities for energy consumers to reduce electricity costs, support grid sustainability and decarbonization.
Position Description
Department: Product
Accountable To: VP of Operations
Summary:
Enersponse is seeking a dynamic and experienced Senior Data Analyst to join our growing product department. In this role, you will play a pivotal role in expanding our customer base into new energy markets and enhancing our suite of tools. As a key member of our cross-functional team, you will be responsible for compiling, analyzing, and synthesizing data to address business needs in Finance, Product, Strategy, and Energy Markets.
Compensation: Full-time salary.
Job Overview:
This description has requirements for experiences but please don't see this as a limitation. A person with genuine data skills and an interest in climate and energy markets is preferred!
Quantitative skills
Academic or professional training in statistical methods, including regression analysis, variance analysis, forecasting, and descriptive statistics
Moderate to strong proficiency coding in Python and querying data using SQL
Experience conducting end-to-end data analysis, from requirements gathering, to planning, data gathering, to data cleaning, analysis, QC, and summary reporting
Experience using data visualization tools to summarize findings and visually show key take-aways
Knowledge of best practices of using a code repository and an integrated development environment (IDE)
Focus on delivering quality results, data integrity and QA/QC
Transparency, repeatability, documentation
Adherence to data security practices
Base-level experience doing peer code reviews and coaching of junior staff
Demonstrated expertise using business tools
Microsoft and Google suite
Keeper of clean spreadsheets
Author of compelling slides and write-ups
Best practices for using suite of communications tools to solve differing needs, across instant messaging, email, and video conferencing
Careful, deliberate, and thoughtful use of AI when necessary
Workflow management skills
Experience using agile-based workflow in team setting
Superb project scoping skills amid ambiguity and competing interests
Follow-through on commitments and timely completion of project work
People skills / soft skills / teamwork
Strong teamwork skills, candor, and emotional intelligence, especially when working with people of different backgrounds with different viewpoints
Commitment to diversity, equity, and inclusion principles in the workplace
Ability to handle fully remote company culture with coworkers across all US time zones
Calm and collected when working on critical priorities, able to focus on large tasks
Creativity and improvisation when problem solving
Ability to synthesize findings into executive summaries and recommendations
Fast learner, asker of questions, seeker of big picture
Can explain technical material to non-technical audience
Preferred energy industry knowledge
Can describe the difference between kW and kWh
Base-level knowledge of how energy companies interface with customers, energy markets, and independent system operators
Bonus: experience with demand-side management or customer-facing energy programs like demand response
Bonus: experience at a start-up sized technology company
Responsibilities:
Interpret data, analyze results using statistical techniques, and provide output reports.
Acquire data from primary or secondary sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Clean and review data to correct code problems, ensuring data integrity.
Define and implement process improvement opportunities.
Collaborate with internal stakeholders in energy markets, product and engineering, accounts and finance, and sales.
Required Education and Experience:
Bachelor’s degree in STEM or related quantitative field. Alternative forms of education and technical experience are acceptable.
Minimum 4 years of experience in analyst-type role. (Preference for experience within the energy industry.)
Proficiency in Python and SQL for data analysis and querying.
Experience with statistical methods, regression analysis, variance analysis, forecasting, and descriptive statistics.
Ability to conduct end-to-end data analysis, including planning, data gathering, cleaning, analysis, QC, and reporting.
Proficiency in data visualization tools to summarize findings.
Knowledge of best practices in using code repositories and integrated development environments (IDE).
Excellent communication skills, with the ability to articulate decisions and provide constructive feedback.
Must possess exceptional organizational skills.
Must be authorized to work in the U.S.
Benefits:
100% medical, dental, and vision coverage for the employee.
401(k) Plan.
Flexible PTO Policy.
Ability to work remotely.
Location
Remote
Our team members can live anywhere within the United States.