Highlights of the job

 

EPCOR’s

C

ommercial

S

ervices

,

Energy Management

(EEM)

group

is

excited to welcome an

Analyst,

Energy Forecasting

[a Full

-t

ime Permanent

position

]

working out of

Calgary or Edmonton

office

.

This role is ideal for a curious,

data driven

analyst who enjoys solving complex forecasting challenges and wants to contribute meaningful work that shapes energy outcomes for today and the future.

 

As an Analyst, Energy Forecasting, you play a key role in shaping how EPCOR understands and prepares for future electricity and natural gas demand

across Alberta and other jurisdictions

. Your work directly supports

reliable,

cost-effective

energy planning

for the communities we serve

,

influencing

pricing, hedging

decisions

, portfolio risk management, budgeting, and

long-term

planning

.

 

You will work at the intersection of data, energy markets, and operational

decision making

,

while combining analytical depth with practical insight that help

translate weather patterns, economic drivers, and market

signals

into actionable load forecasts and

models

for EPCOR’s

front office

and internal stakeholders.

 

This opportunity is open to

i

nternal and

e

xternal candidates

and is

eligible to participate in

EPCOR’s Where We Work hybrid program

subject to business needs and eligibility

.

Current EPCOR Employees, please ensure that you are using your

“

@epcor.com

”

email address.

 

What you’d be responsible for

Reporting to the

Manager

,

Energy

Forecasting,

this position will be responsible for the following (but not limited to):

 

• Providing input that supports energy forecasting plans and alignment with EPCOR Energy Management’s goals

  as well as

  completing

  forecasting deliverables within the business plan.

• Producing short, medium, and long

  ‑

  term electricity and natural gas load forecasts for EPCOR portfolios.

• Identifying resource

  s, tools

  or data requirements needed for effective forecasting and model development

  .

• Ensuring accuracy and effectiveness against

  key

  performance indicators

  or metrics

  such as forecast error targets, volumetric thresholds,

  profit and loss (P&L) timelines

  and operational timelines.

• Ensuring forecasting processes comply with EPCOR policies, standards,

  risk mitigation practices

  and regulatory expectations.

• Contributing to the development, testing, and refinement of advanced forecasting and statistical model

  s,

  including scenario and sensitivity planning.

• Tracking and improving forecast accuracy using metrics such as

  mean absolute error

  and

  bias, and

  analyzing drivers of error.

• Preparing recurring dashboards and reports that summarize forecast outcomes, key assumptions, and risk drivers for stakeholders such as trading, risk, and finance.

• Monitoring weather patterns, economic indicators, and market fundamentals to incorporate into forecasting assumptions and support hedging, risk, and operational decisions.

• Performing scenario and sensitivity analyses

  (e.g., weather, economic factors, market conditions)

  to quantify uncertainty and support

  hedging and operational decisions

  .

 

What’s required to be successful

Qualifications & Experience

• Bachelor’s degree

  in Statistics, Mathematics, Computer/Data Science, Engineering, Economics, or Finance

  or related field.

• 2

  years of experience in

  data

  analytics

  , energy forecasting, market analytics, or a related quantitative field

  • Individuals including new graduates with less than the required experience may be considered in a developmental capacity based on demonstrated ability to meet the core responsibilities of the role.

• Experience developing load and/or price forecasts, including model development, validation, back-testing, and KPI reporting.

 

Technical Skills

• Proficiency in

  SQL

  ,

  Python (pandas, NumPy; statistics/time-series libraries), and advanced Excel; experience using Power BI or other visualization tools.

• Experience with

  time-series

  and

  weather-normalized modeling,

  scenario analysis

  and back-testing

  .

 

Soft Skills

• Strong

  analytical reasoning with the ability to

  communicate

  technical concepts

  to

  diverse

  audiences.

• Strong

  attention to accuracy

  and quality, demonstrated through consistently delivering high-quality work.

• Ability to

  work cross

  functionally

  and manage multiple priorities in a

  dynamic and agile e

  nvironment.

• Being curious and has a

  passion for solving complex forecasting challenges that have real impact on EPCOR’s customers and communities.

 

Assets [Nice to Have]

• A

  Master’s degree

  .

• Exposure to electricity and/or natural gas markets (e.g., market operations, load/price fundamentals, commodity risk).

• Familiarity with cloud

  /

  data platforms (e.g., Azure, Databricks, SQL Data Warehouse)

 

Other important facts about this job

 

Jurisdiction:

PROF

Hours of work:

80 hours biweekly

 

EPCOR Employees: Please ensure that you are using your “

@epcor.com

” email address.

 

Learn more about

Working at EPCOR

!

Follow us on

LinkedIn

,

 

X

,

Glassdoor

 

or

Facebook

!

 

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Please note the following information:

• A requirement of working for EPCOR is that you are at least 18 years of age, successfully attained a high school diploma (GED, or equivalent level of secondary education) and legally entitled to work in Canada

  in a permanent

  full-time

  position

  . (A copy of a valid work permit may be required.)

• If you are considered for the position, clearance on all applicable background checks (which may include criminal, identity, educational, and/or credit) and professional reference checks is required. Some EPCOR positions require an enhanced level of

  background assessment, which is dictated by law. These positions require advanced criminal record checks that must also be conducted from time to time after commencement of employment.

• A technical/practical assessment may be administered during the selection process and this exercise will be used as a part of the selection criterion.

 

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