Senior Data Analyst (6 Month Contract)

Who We Are At KEV, we help school districts eliminate the school finance blind spot. Our platform gives district finance teams real-time visibility and traceability into every dollar collected at the school level - whether it's cash, cheque, or digital. From field trips to fundraisers, we help them manage every dollar with confidence. More than 27,000 schools across North America trust KEV to manage over $8 billion annually. By unifying payments, accounting, and reporting, KEV simplifies life for bookkeepers, builds trust with parents, and gives finance leaders the oversight their current systems cannot. It's how we help schools stay compliant, reduce risk, and focus on what matters most, student success. Backed by Five Arrows, the PE arm of Rothschild & Co., KEV is investing more than ever to support K-12 in a world of tighter budgets, rising scrutiny, and fast-changing tech. We're headquartered in Toronto, with offices across North America. If you're excited by the idea of building tech that protects schools, empowers finance teams, and improves education through better systems, KEV is the place for you. This role is for an active vacancy. About the Role We are looking for a detail-oriented and business-savvy Senior Data Analyst to design and optimize database queries, analyze product usage, and generate actionable insights that will help drive adoption and increase payment revenue. This role will collaborate closely with Product, Technology, and Account Management teams to uncover patterns, measure performance, and inform strategies that enhance customer engagement and overall product success. As a key contributor to KEV’s data-driven decision-making, you will transform raw data into meaningful insights and provide recommendations that influence product development, marketing, and customer success initiatives. What You'll Do Proven experience using SQL, R, Python, or similar data mining and analytics applications to design, write, and optimize queries and data pipelines to extract and analyze product usage data Leverage statistical modeling, predictive analytics, and machine learning techniques to provide deeper insights into business operations and market conditions Create dashboards, reports, and visualizations to track product adoption, engagement, and revenue impact as needed Partner with Product Management to identify usage trends and opportunities for feature adoption Collaborate with Account Management to analyze client usage patterns and develop targeted engagement strategies Conduct ad-hoc analyses to answer strategic questions about product performance and market behavior Provide data-backed recommendations to drive increased payment revenue and product growth Who You Are Bachelor's degree in a quantitative field such as Decision Science, Data Science, Mathematics or Statistics 3-5 years experience in SQL, R, Python, PowerBI, with advanced knowledge in Excel and Excel Power Query Strong experience in collaboration with key partners to refine stakeholder requirements and to identify and analyze trends Experience with BI tools (e.g., Power BI) and data visualization best practices Familiarity with statistical analysis and A/B testing methodologies is an asset Excellent problem-solving and analytical skills with strong attention to detail Ability to work cross-functionally and communicate insights clearly to both technical and non-technical stakeholders Experience with SaaS products, payments, or education technology is a plus Salary Range - $110,000 - $130,000 Note: We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors, including skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed above. What We Offer Competitive compensation – We believe in rewarding great work with fair, competitive pay. Meaningful benefits– Because your well-being matters; both at work and at home. Retirement Savings Support – We help you plan for your future with company-matched programs, including RRSP matching in Canada and 401(k) contributions in the U.S. Professional development – We invest in your growth with ongoing learning, stretch opportunities, and continuing education, including KEV Academy for onboarding and skill-building, plus KEV University, our online platform offering a wide range of courses. Hybrid model – 3 days in the office to collaborate and connect, with flexibility the rest of the week. Flexible PTO – Take the time you need to recharge with close to 4 weeks of vacation and a company-wide holiday closure Office perks – Enjoy a fully stocked snack bar and occasional catered lunches—because we know that great conversations (and ideas) often start around good food. Why You’ll Love Working at KEV Make a real difference every day – At KEV, your work supports children, parents, and schools across North America. We don’t just build software, we create solutions that simplify lives and strengthen communities. Our mission is rooted in impact, and every team member plays a vital role in shaping the future of K-12 education. The KEV Way – At KEV, you’ll never feel stuck in the status quo. You’ll be part of a team that’s constantly questioning, improving, and innovating—always with one guiding focus: How does this help our schools and the students they serve? It’s a culture that challenges you to do your best work while reminding you why it matters. Grow with us – We’re scaling fast, and so are our people. At KEV, you’ll have real opportunities to learn, develop, and shape your career. Whether advancing in your role or exploring a new path, you’ll be supported every step of the way. Work alongside excellence – You’ll be part of a team with integrity who treat their colleagues with respect. who are accomplished but humble, collaborative but accountable. It’s a place where you can do your best work while feeling supported and inspired by the people around you. Celebrate Community and Culture – At KEV, we connect, recognize, and celebrate our people. Join Club KEV for team-building fun, hear directly from customers in our Voice of Customer Series, stay aligned with Monthly Townhalls, and be inspired by the KEVite Awards, where top contributors are recognized by their peers. This job description indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required by an individual joining the KEV team in this or any other capacity. KEV Group is pleased to accommodate individual needs in accordance with the Accessibility of Ontarians with Disabilities Act, 2005 (AODA), within our recruitment process. If you require accommodation at any time throughout the recruitment process, please speak with your recruiter. KEV Group is an equal opportunity employer who agrees not to discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, or age. KEV may use AI-enabled tools to support components of our recruitment process. These tools are used to support human decision making. All hiring decisions are made by our People and Culture team in partnership with Hiring Managers. Visit our website for more information and details about working at KEV.

The Senior Data Analyst will design and optimize database queries while analyzing product usage to drive adoption and payment revenue. They will collaborate with cross-functional teams to transform raw data into actionable insights that inform product development and customer success strategies.

Candidates must hold a bachelor's degree in a quantitative field and possess 3-5 years of experience with SQL, R, Python, and PowerBI. Strong analytical skills and the ability to communicate complex data findings to both technical and non-technical stakeholders are required.

• Retirement savings support • Company-matched programs • Professional development • Flexible PTO • Vacation • Snack bar • Catered lunches

• Data visualizationPreferred
• SQLPreferred
• Problem solvingPreferred
• Microsoft ExcelPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• R
• Python
• PowerBI
• Excel
• Excel Power Query
• Statistical modeling
• Predictive analytics
• Machine learning
• Data visualization
• A/B testing
• Data mining
• Data pipelines
• Analytical skills
• Problem-solving
• Statistical Analysis
• Hybrid Model
• Influencing Skills
• Stakeholder Requirements
• Customer Success Management
• Product Adoption Strategies
• Influencing Without Authority
• Business Operations
• Decision Science
• Data-Driven Decision Making
• Analytical Skills
• A/B Testing
• Account Management
• Accounting
• Artificial Intelligence
• Analytics
• Data Analysis
• Budgeting
• Business Intelligence
• Business Acumen
• Dashboard
• Decision Making
• Software As A Service (SaaS)
• Customer Engagement
• Fundraising
• Data Mining
• Data Visualization
• Database Tuning
• Finance
• R (Programming Language)
• Marketing
• Problem Solving
• Python (Programming Language)
• Machine Learning
• Mathematics

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Education
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week