Data Analyst: Workforce Insights for Energy Services

EPCOR Technologies Inc.; Edmonton; Remote; CAD 100,000 - 105,000; Full time

Job summary

EPCOR Technologies Inc. in Edmonton is hiring a Data Analyst to oversee workforce planning, build dashboards, and deliver insights for Canada and the USA. You’ll analyze workforce data from systems, produce actionable recommendations, and collaborate with call center stakeholders to improve efficiency and service levels.

Requires a Bachelor's degree and 3+ years in data analytics, with strong skills in Power BI, SQL, Python, and Excel. Familiarity with utility environments is a plus.

Qualifications

• Bachelor's degree in business, economics, statistics, accounting, finance, CS, data analytics, or related field.
• Minimum 3 years of data analysis, reporting, forecasting, or performance measurement.
• Experience with large datasets and analytic tools to support decision-making.
• Experience in a customer care or utility environment is an asset.

Responsibilities

• Oversee workforce planning data and dashboards for Canada and USA.
• Develop statistical dashboards using Power BI, Python, and SQL.
• Provide actionable insights to drive operational efficiency and performance.
• Collaborate with cross‑functional stakeholders to prioritize analytical requests.
• Ensure data, reporting, and governance align with policies and standards.

Skills

Data analysis

Forecasting

Stakeholder communication

Cross-functional collaboration

Education

Bachelor's degree in Business, Economics, Statistics, Accounting, Finance, Computer Science, Data Analytics, or a related discipline

Tools

Power BI

SQL

Python

Excel

Job description

EPCOR Technologies Inc. in Edmonton is hiring a Data Analyst to oversee workforce planning, build dashboards, and deliver insights for Canada and the USA. You’ll analyze workforce data from systems, produce actionable recommendations, and collaborate with call center stakeholders to improve efficiency and service levels.

Requires a Bachelor's degree and 3+ years in data analytics, with strong skills in Power BI, SQL, Python, and Excel. Familiarity with utility environments is a plus.