Data Analyst

About Enersponse

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: Operations

Accountable To: Senior Data Analyst

Summary:

Enersponse is seeking a dynamic and experienced Senior Data Analyst to join our growing Data Analytics 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. $ Competitive 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
• Proficiency coding in Python and querying data using SQL
• Analyst-level position has basic to moderate proficiency
• Senior-analyst level position has moderate to strong proficiency
• 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
• Clean spreadsheets
• 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
• 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 small, 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.
• Minimum 1-2 years of experience in analyst-type role.
• 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.
• Strong proficiency in using 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.