Senior Data Analyst (6 Month Contract)

Résumé du poste

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.

Détails du poste

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’re looking for a detail-oriented, payments-savvy Senior Data Analyst to join the Data Analytics team, reporting into the Director, Data Analytics. The initial term is a 6 month on a contract basis,. This role will play a key part in building the analytics foundation for KEV’s Payments business. You will partner closely with the Payments team to transform data from multiple platforms and payment processors into trusted, scalable data models, reporting, and insights that help the business understand performance, identify opportunities, and grow payment volume and revenue. You will work across the analytics lifecycle - from understanding raw transactional and processor data, to building transformation pipelines and reusable data models, to creating reporting and conducting deeper analysis that explains what is driving Payments performance. As a senior individual contributor, you will be expected to work independently, build strong stakeholder relationships, and own analytical initiatives end-to-end, from problem definition and data modeling through reporting, analysis, and recommendations. You will also be expected to lead projects autonomously from day one. As a key contributor to KEV’s data-driven decision-making, your work will help influence Payments strategy, product development, customer engagement, and broader business decisions. WHAT YOU'LL DO * Partner closely with the Payments team to understand business priorities, payment flows, operational processes, and analytical needs. * Build and maintain scalable payment data models and transformation pipelines using SQL and dbt, turning raw transactional and processor data into trusted analytics-ready datasets. * Help establish and mature our dbt implementation, including modeling standards, testing, documentation, lineage, reusable models, and development best practices. * Develop a strong understanding of the end-to-end payment lifecycle, including transaction initiation, authorization, settlement, fees, refunds, chargebacks, payment methods, and processor activity. * Create dashboards and reporting that provide visibility into Payments performance, adoption, transaction trends, and revenue impact. * Move beyond reporting what happened to identify why performance changed, where value is being lost, and where opportunities exist to improve adoption, payment volume, and revenue. * Own stakeholder relationships and lead analytics projects autonomously, from scoping through delivery * Conduct ad-hoc analyses to answer strategic questions about product and payments performance * Provide data-backed recommendations to drive increased payment revenue and product growth WHO YOU ARE * 5+ years of experience in Data Analytics, Business Intelligence or Analytics Engineering, preferably within a payments organization. Prior experience with SaaS, fintech, or technology is a bonus. * Strong hands-on SQL skills are required, including experience working with complex transactional datasets and building reusable analytical data models. * Strong hands-on dbt experience is required, including building models, tests, documentation, and transformation pipelines. * Experience working within a modern cloud data warehouse or lakehouse, such as Databricks, Snowflake, Redshift, or BigQuery is required. * Experience with a BI tool such as Databricks AI/BI is preferred, but Tableau, Power BI, or Looker will also be considered. * Payments domain experience is strongly preferred, with experience working with transactional or payment processor data from raw sources through transformation, analysis, and reporting. * Seniority to work independently, own stakeholder relationships, and lead projects with minimal oversight * Strong experience collaborating with key partners to refine stakeholder requirements and identify and analyze trends * Excellent problem-solving and analytical skills with strong attention to detail * Ability to communicate insights clearly to both technical and non-technical stakeholders * 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. [https://kevgroup.com/careers/]

Ce que vous ferez

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.

Exigences

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.

Avantages

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

Compétences indiquées

• Visualisation de données · Souhaitée
• SQL · Souhaitée
• Résolution de problèmes · Souhaitée
• Microsoft Excel · Souhaitée
• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• 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

Domaines d’emploi

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