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Wiraa

Business Intelligence Analyst

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 25, 2026

Original job description

About The Company

Metergy Solutions Inc. ("Metergy") combines the energy and rapid growth of a startup with the stability of a rock-solid, recession-proof business boasting a 45-year track record. As a technology-driven company, Metergy is committed to driving significant carbon emission reductions, offering a unique, once-in-a-career opportunity. As one of North America’s most experienced submetering providers, Metergy delivers turnkey solutions to clients by supplying, installing, and remotely reading meters that measure individual suite consumption of electricity, water, gas, and thermal energy in multi-residential and commercial buildings. The company also manages billing and collections for commodity costs and administrative charges through an innovative Submetering as a Service (SaaS) model, which supports long-term recurring revenue streams.

About The Role

The Business Intelligence Analyst at Metergy is responsible for managing, developing, and executing the Business Intelligence (BI) and Revenue Assurance Program, overseeing Annual Rate Increases, operations dashboards, reporting, and ensuring overall Gross Margin (GM) integrity. This role requires extracting, cleaning, and analyzing large volumes of data to identify trends, patterns, and actionable insights that drive operational excellence and strategic decision-making.

The successful candidate will collaborate effectively with stakeholders to provide deep-dive business intelligence analysis across operational areas including workforce performance, revenue assurance, productivity, cost, and quality drivers. They will provide monthly management insights related to performance opportunities, financial rate and volume variance analysis, and resource allocation. The role also involves understanding regulatory changes and leading organizational projects to implement these changes across all impacted submetering areas.

Additional responsibilities include planning, developing, and approving operational policies and quality management systems for revenue assurance, monitoring daily performance metrics, recommending process improvements, and ensuring controls are in place to support the lead-to-cash process across all billing revenue streams. The Business Intelligence Analyst will champion revenue leakage issues by engaging key stakeholders and staying current on emerging trends and technologies in BI and data analytics.

Qualifications

Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Business, or other quantitative fields.
High proficiency in data modeling and analysis with demonstrated expertise in Excel, PowerBI (Power Query), and SQL.
Basic knowledge of Python is considered an asset.
Minimum of 2 years of experience in Data Analytics, Operations, or relevant roles, preferably within a fast-growing utility company.
Additional training or certification in Data Analytics or IT is preferred.
Experience with data visualization tools is advantageous.
Strong collaboration skills to build effective partnerships with stakeholders.
Understanding and experience working with statistical revenue and costing information to provide business insights and cost reduction opportunities.
Strong technical skills to mine and analyze large data sets.
Ability to apply advanced data discovery and analytical skills to build effective analyses.
Capability to perform basic statistical and correlation analyses to identify key patterns and trends.
Experience with customer billing environments involving large transaction volumes, such as utilities or telecommunications.
Exceptional attention to detail, quality, time management, and project planning skills.
Proven ability to deliver industry-leading reporting and analytical solutions.
Excellent interpersonal, communication, presentation, and conflict resolution skills.

Responsibilities

Extract, clean, and analyze large volumes of data to identify trends, patterns, and insights.
Conduct deep-dive business intelligence analyses across operational areas to evaluate key performance indicators.
Collaborate with stakeholders to develop insights and recommendations that support strategic leadership discussions.
Provide monthly management reports on performance opportunities, financial rate and volume variance analysis.
Monitor regulatory changes and lead organizational projects to implement necessary adjustments.
Plan, develop, and approve operational policies, standard operating procedures, and quality management systems related to revenue assurance.
Monitor daily performance metrics to identify opportunities and anomalies.
Review and recommend improvements to existing operational processes.
Work closely with departmental owners to implement controls supporting the lead-to-cash billing process.
Identify and champion revenue leakage issues by engaging key stakeholders and allocating necessary resources.
Stay informed on emerging trends and technologies in Business Intelligence and data analytics.
Evaluate and integrate new tools or techniques to enhance BI capabilities.

Equal Employment Opportunity

We are an Equal Opportunity Employer and are committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law.

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More about this job

Responsibilities

Extract, clean, and analyze large datasets to produce operational insights, performance reporting, and financial rate and volume variance analysis. Lead revenue assurance and regulatory implementation initiatives, monitor performance and billing controls, and recommend process improvements to protect gross margin and reduce revenue leakage.

Requirements

A bachelor’s degree in a quantitative field and at least two years of experience in data analytics, operations, or a related role are required. Candidates should be proficient in Excel, Power BI with Power Query, and SQL, with strong analytical, communication, collaboration, and project-planning skills; Python knowledge is an asset.

Skills

Data Modeling
Data Analysis
Excel
Power BI
Power Query
SQL
Python
Data Visualization
Statistical Analysis
Revenue Assurance
Financial Variance Analysis
Stakeholder Collaboration
Project Planning
Process Improvement
Regulatory Change Management
Quality Management

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Revenue Assurance
Gross Margin
Annual Rate Increases
Data Modeling
Data Analytics
Excel
Power BI
Power Query
SQL
Python
Data Visualization
Statistical Analysis
Correlation Analysis
Financial Variance Analysis
Operational Dashboards
Key Performance Indicators
Customer Billing
Lead-To-Cash
Revenue Leakage
Cost Reduction
Regulatory Change Management
Quality Management Systems
Standard Operating Procedures
Submetering
Utilities
Telecommunications
Resource Allocation

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