Strategic Finance Analyst; Data & Analytics

Position: Strategic Finance Analyst (Data & Analytics)
## Strategic Finance Analyst (Data & Analytics)
Apply locations:
Regina, Saskatchewan:
Toronto, Ontario:
Calgary, Alberta time type:
Full time posted on:
Posted Yesterday job requisition :
R-1008589

Closing Date (MM/DD/YYYY):06/27/2026

Worker Type:

Permanent Language(s)

Required:

English Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$94,620 - $128,020
** Why FCC?
**** At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.
** Here’s what you can expect when you join our team:
* ** Competitive total rewards packages:
** market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs
* ** Purpose-driven work:
** We build strong relationships, share knowledge and support the people who feed the world
* ** Growth:
** Learning and development opportunities to help you thrive
* ** Hybrid work options**-##
** How you’ll make an impact
** Be part of the team that delivers data-driven insights to support business strategy and works closely with cross-functional stakeholders, including business units, leadership, and data teams.

As a Business Intelligence Analyst, you’ll transform complex data into clear, actionable insights that support business decisions and improve performance across key domains. You’ll play a critical role in helping stakeholders understand trends, identify opportunities, and make informed, data-driven decisions.

We’re looking for someone who thrives in a collaborative environment and builds on others' ideas. An analytical thinker who can use complex concepts and turn them into executive insights and actionable options for better business decision-making. You’re a natural relationship-builder and an active listener, comfortable engaging with diverse stakeholders in any setting—from technical discussions with data teams to strategic conversations with business leaders.

You bring strong problem-solving and communication skills, a passion for data, insights, and continuous improvement, and curiosity, adaptability, and a team-first mindset. Most importantly, you embrace ambiguity, enjoy uncovering patterns in complex data, and have the confidence to create impact from the ground up.

If you thrive in a fast-paced environment, enjoy solving complex problems, and are passionate about turning data into meaningful insights, this could be the role for you.## ##
** What you’ll do
*** Apply Python in AWS environments to develop dashboards and reporting, bridging business needs with IT-led data solutions
* Apply accounting knowledge to interpret results, ensuring insights are grounded in financial statements and meaningful for decision-making
* Develop analytics solutions using data from a variety of sources and structures
* Analyze data to uncover trends, patterns, and opportunities, and present findings to decision makers
* Provide recommendations to improve business processes, data quality, and reporting capabilities
* Support continuous improvement by identifying gaps and enhancing data tools and methodologies##
** What you’ll bring to the team**## ##
*
* Required qualifications:

*** A degree in finance, business, mathematics, statistics, or computer science
* Minimum 4 years of experience in data analytics, business analysis, or a related field
* Extensive knowledge of data analysis, statistical concepts, and data interpretation
* Solid knowledge of business domains combined with data structures and configuration
* Proven expertise in translating data into actionable insights and recommendations
* Demonstrated proficiency with data manipulation and management tools
* Advanced experience with at least one data visualization tool (e.g., Power BI, Tableau)##
*
* Preferred qualifications:

*** Experience working with large and complex datasets from multiple sources
* Experience influencing stakeholders and making data-driven recommendations
* Knowledge of data governance, data…