Voltus believes in the power of data to make data-driven decisions and impact business outcomes. We are looking for a Bright, Gritty and Good mission-driven person to lead our business analytics team. The role will lead a team of cross functional analysts and work closely with the data science, data engineering and finance teams. Each analytics team member will have an internal customer they “serve” and apply the assigned functional lens to the data. The team will provide the insights/intelligence needed to drive daily operations, make recommendations for improvements, changes and actions to take to ultimately improve the performance of our customers in demand response dispatches.The role’s primary objective is to lead and develop the business analytics team and drive performance improvement. The Director of Business Analytics will report to the SVP of Operations.
Who you are
You are a strong communicator and have experience leading a team
You are excited to develop your team’s technical skill sets and application of analytics
You love thinking strategically about the business problems to solve as well as rolling up your sleeves
You love translating business problems into analysis and uncovering data-driven answers
You have worked in a consulting setting as well as an operational capacity
You are comfortable writing scripts in Python, R and/or SQL
You know how to use clear storytelling and visualizations to make non-technical business stakeholders understand problems based on the analytics
You are practical, resourceful and know how to use your team’s skills to provide actionable solutions
You love wearing many hats from representing the Operations team as a product manager to extracting the business insights from a complex analysis
You are adept at request intake, scoping, prioritization and stakeholder engagement to ensure effective progress on key initiatives
You care deeply about our customers’ and using data to make them more successful
Key Responsibilities
Lead by example, mentor and develop analytics team members
Model and calculate the performance of customers and define changes/recommendations
Fundamentally identify the risk to the company
Continuously evaluate the impact certain factors play in performance
Develop a deep understanding of the strategic risks associated with operating in energy markets
Build out ability to ID revenue-at-risk and margin-at-risk reporting that could then help prioritize Market Ops and Sales effort
Identify gaps in our data analytics stack/process and champion / document them to our product and engineering teams
Vast knowledge in the identification of key metrics that measure and drive long-term health of the business
Endeavor to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner
Identify opportunities to apply rigorous analysis methods to formulate actionable insights
Curate, triage and guide analytics work, prioritizing projects with strategic valueLeads definition of metrics that track the business’s performance
Validate, interpret and create reports and presentations for leadership and relevant stakeholders
Guarantee high data-quality and reliability across the business
Present results to non-technical stakeholders and advocate for data driven decision making across the organization
Identify software and tools that improve team performance
Drive the day-to-day analytical approaches and explore solutions to particular problems
Manage long-term prioritization of the business’s overall analytical needs and opportunities
Defines the business questions that need to be answered
Define appropriate analytics models in addition to identifying and readying relevant data sources for analysis
Develops programs meant for improving the understanding of the use of data, which improves decision-making across the business
Qualifications
Must have had at least 7 years of working experience as a data analyst, preferably working as a Senior Data Analyst in a fast-paced and complex business setting
Proven and successful experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth
History of success leading analytics and an analytical team as well as vast experience working with a wide range of data in order to predict financial metrics for a business
Demonstrated experience building and leading quantitative analyses as well as experience building response and risk models for a business
Technical stack experience: Snowflake, Salesforce, Redash, Jupyter notebook, python, R and/or SQL, SQL server reporting services, Tableau, analysis services, or any other data visualization tools
Communication Skills: Excellent communication skills in both written and verbal
Ability to create reports and presentations for leadership and key stakeholders. These reports must be engaging, clear, concise, and convincing, having been tailored in such a manner that will suit and appeal to the audience at hand
Self-motivated
Proactive: take initiative and go beyond call of duty
Exceptional problem-solving skills, work comfortably in a cross-functional setting
Work comfortably with business senior executives
Take accountability for the business’s performance
A degree in the STEM field (preferred)
An MBA (preferred)
Strategic experience within a high growth organization (preferred)