Payments & Data Analyst at Traction Rec serving as centralized resource for payments operations and reporting. Collaborating with stakeholders to ensure accuracy and insights for decision-making.
Responsibilities
Serve as the primary point of contact for payments, data, and reporting requests across all teams and the Senior Leadership Team
Own Salesforce reporting and data extraction across KPI, notably around customer usage, revenue, and payments performance.
Pull, analyze, and reconcile data from multiple sources, including Salesforce, payment processors, and finance systems.
Build, maintain, and improve recurring and ad hoc reports using Salesforce and other analytics tools
Track and analyze key business metrics such as ARR, churn, expansion average, customer lifecycle, product adoption, transaction success rates, fees, chargebacks, and payout timing.
Support the payments function with operational reporting, analytics, and insights to help monitor performance and identify optimization opportunities.
Monitor payment workflows and reconciliation processes to ensure accuracy, compliance, and operational efficiency.
Support Finance, Sales Operations, and Customer teams with data for planning forecasting and performance tracking.
Provide accurate, timely metrics and insights for executive and Board level reporting.
Design, build, and maintain dashboards and data visualizations to communicate payments, revenue, and customer insights to internal stakeholders
Identify opportunities to improve data quality, reporting processes, and operational visibility across payments and customer data.
Translate complex payments and operational data into clear, actionable insights through dashboards, visualizations, and executive ready summaries for stakeholders across the organization
Participate in customer and external partner discussions, as needed.
Requirements
Experience working in a payments, SaaS operations, analytics, or business analysis role
Hands on experience working with payment data, transaction reporting, or payment platforms
Strong experience working with Salesforce, including reporting and data extraction
Advanced Excel skills, including pivot tables, formulas, and data analysis
Strong analytical and problem-solving skills with high attention to detail
Solid business and financial acumen with the ability to connect data to revenue, margin and operational outcomes
Ability to manage multiple requests and priorities in a fast-paced environment
Clear, professional communication skills and comfort working with stakeholders at all levels
Experience supporting finance, sales operations, customer teams, or payments function is a plus.
Business Analyst contract role in Toronto requiring 3+ years BSA experience and 2+ years SQL/Python. Capital markets/credit risk background preferred with 2 - 3 days onsite.
Data Analyst supporting the Territorial Data Warehouse, managing IT and business relationships. Analyzing data requirements and ensuring quality and alignment with business needs.
Data Analyst strengthening HR technology and analytics at The Salvation Army for informed workforce planning. Focusing on data integrity and reporting capabilities to empower HR leaders.
Data Analyst supporting automated ETL processes and maintaining data integrity at Cars Commerce. Collaborating with teams to ensure the accuracy and consistency of automotive data.
Business Data Analyst collaborating to enhance S&C Electric Canada's business processes through data analysis and strategic initiatives. Utilizing advanced statistics and data modeling for decision - making and reporting.
Sustainability Data Analyst managing the collection of sustainability data and assisting corporate real estate sustainability initiatives. Contributing to innovative data - driven solutions for sustainability objectives at Sun Life.
Data Analytics Lead for NPX managing analytics solutions and client relationships in the nuclear industry. Leading a team to drive outcomes through data - driven strategies.
Senior Data Analyst at Instacart driving innovation through financial data analytics. Collaborating across teams to deliver trusted insights and optimize performance in data management.