Business Intelligence Analyst

Extract, clean, and analyze large volumes of data to identify trends, patterns, and insights. • Conduct deep dive business intelligence analysis into operational areas within Operations to provide analysis and insight on the interplay between the various key performance indicators (e.g., workforce performance & management, Revenue Assurance, productivity, cost and quality drivers). • Effectively collaborate with stakeholders to develop insights and recommendations to enable strategic discussions among leadership. • Provided monthly management insight for performance opportunities, financial Rate and Volume variance analysis to help identify resource allocation opportunities • Accountable for understanding regulation changes and launching organizational projects to implement changes in all impacted areas in submetering (includes non-responsible departments) • Plans, develops and approves all operational policies in all functional areas, with standard operating procedures, and quality management systems for revenue assurance • Monitor daily performance against key metrics to identify opportunities and anomalies • Constantly review current operational processes and be a strategic partner in making recommendations for improvements • Work with all departmental owners to implement and ensure controls are in place to support the lead to cash process for all (billing model) revenue streams • Develop and champion revenue leakage issues across organization by engaging key stakeholders on activity and resource requirements necessary to drive revenue maximization • Stay updated on the latest trends in Business Intelligence, data analytics and emerging technologies • Evaluate and incorporate new tools or techniques that could enhance BI capabilities.

Degree in Statistics, Computer Science, Math, Economics, Business or other quantitative fields. • High proficiency in data modelling and analysis with demonstrated acumen using the following tools Excel, PowerBI (Power Query) & SQL • Basic knowledge of Python is an asset • 2+ years of experience in Data Analytics, Operations, or relevant work experience at a fast-growing utility company is preferred. • Preference to additional training with Data Analytics / IT • Preference for experience with data visualization tools • Excellent collaboration skills to build strong working partnerships with stakeholders. • Understanding and experience working with statistical revenue and costing information to provide business insight and opportunities to reduce cost. • Strong technical skills to mine large volumes of data. • Ability to apply superior data knowledge & discovery skills into building effective analysis. • Ability to conduct basic statistical and correlation analysis to identify patterns and trends. • Industry or working experience with customer billing environments with large transaction volumes such as Utility or Telecommunications, • Attention to detail and quality, strong time management and project/work planning skills. • Proven ability to work with and deliver Industry Leading Best-in-Class reporting and analytical solutions. • Excellent interpersonal and customer interaction skills to include communications, presentation and conflict resolution skills.