Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Sr. Finance Process Excellence & Automation Analyst role.

Rezi rewrites your resume against Element Fleet Management's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Sr. Finance Process Excellence & Automation Analyst posting at Element Fleet Management — free, in seconds.

About the Role

Transform finance processes through automation, AI, and actionable data insights. Identify opportunities to simplify and standardize workflows, develop automation and AI-enabled solutions, and turn data into insights that strengthen efficiency, controls, and business performance.

Responsibilities

Identify and prioritize finance process improvements by analysing workflows, challenges, and opportunities to simplify, standardize, digitize, and automate work.
Lead the delivery of intelligent automation, AI, reporting, and workflow solutions, from requirements and design through development, testing, deployment, and post-implementation support.
Build and enhance solutions using Alteryx, Power BI, Power Automate, SQL, AI-enabled tools, and other relevant platforms to reduce manual work and improve data quality and consistency.
Develop dashboards, key performance indicators, exception reporting, and analysis that translate financial and operational data into actionable business insights.
Measure the impact of initiatives, including efficiency improvements, stronger controls, process quality, and other business outcomes.
Engage stakeholders across finance and the broader business, communicate progress and risks, coordinate decisions, and maintain momentum across projects.
Document requirements, processes, standard operating procedures, and user guidance; support change management, adoption, and ongoing solution refinement.
Evaluate emerging technologies and share knowledge to help finance teams adopt effective, responsible approaches to automation and AI.

Requirements

Bring finance process knowledge, hands-on automation and analytics skills, and the ability to move improvement initiatives from idea to implementation.
Have experience in finance or financial services and understand finance processes, operational workflows, and business drivers.
Demonstrated experience simplifying, standardizing, digitizing, and automating processes to improve efficiency, controls, quality, and stakeholder experience.
Strong knowledge of databases and querying tools, including SQL, Snowflake, and similar platforms, and experience with data extraction, transformation, analysis, and visualization.
Practical exposure to AI tools and AI-enabled capabilities in business, analytics, or process improvement.
Ability to gather requirements, translate business needs into technology-enabled solutions, and support end-to-end delivery, including testing, implementation, and post-implementation support.
Strong analytical, root cause analysis, problem-solving, communication, documentation, and stakeholder management skills.
Ability to coordinate multiple priorities independently and collaborate effectively with finance, operations, technology, and senior stakeholders.
Applicants must be legally authorized to work in the country where the position is based.
Element Fleet Management does not provide sponsorship or support for obtaining or maintaining work authorization for this position.
Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Skills

Alteryx
Power BI
Power Automate
SQL
AI-enabled tools
Snowflake
Intelligent automation
Low-code/no-code
Robotic process automation
Digital transformation
AI-enabled workflow improvements
KPI dashboards
Performance reporting
Data cleansing
SAP S/4HANA
Change management
Training
Adoption support

Location

1 Adelaide St. E., Toronto, ON

Work Type

Hybrid

Experience Level

4-6 years of experience in business process engineering, finance transformation, top-tier management consulting, or a data, automation, or business intelligence analyst role supporting finance or related functions.

Education Level

Bachelor’s degree in finance, accounting, economics, statistics, data analytics, information systems, business, or a related field.

Salary/Compensations

$76,300-$104,900 annually

Benefits

Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)
Eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role.
A comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans.

About the Company

Element employees make a difference in the lives of others every day.
We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience.
Element Fleet Management is the world’s largest publicly traded pure-play automotive fleet manager, bringing deep fleet expertise together with technology and data to serve organizations across multiple markets.

Equal Opportunity

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging.
We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws.
Disability-related accommodations during the application and interview process are available upon request.
Element Fleet Management also uses AI-assisted tools to help screen and assess applications.
These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience.
AI outputs do not by themselves determine whether you advance or receive an offer – they assist recruiters and hiring managers.
Final hiring decisions are made by people.