What you will do
- Write SQL queries, views, and analytical tables to transform raw data into usable business datasets.
- Build and maintain trusted dashboards, reports, and published data sources for executives and operating teams.
- Define and document core business metrics, including revenue, transaction activity, customer/operator health, support trends, sales performance, operational performance, and other KPIs.
- Partner with Finance on SaaS metrics including ARR walks and retention reporting.
- Collaborate with Sales, Marketing, Operations, Support, Product, and Engineering to translate business questions into data models, dashboards, and insights.
- Identify data quality issues, investigate discrepancies, and implement checks to improve trust in company reporting.
- Help design the analytics layer that enables self-service reporting and consistent metrics across the organization.
- Prioritize data requests and balance quick-turn analysis with long-term, scalable reporting.
- Train and support business users in interpreting dashboards and using data effectively.
- Help shape the future data stack, including tooling, governance, documentation, and reporting standards.
What we are looking for
- 6+ years of experience in data analysis, business intelligence, analytics engineering, or a related role.
- Advanced SQL skills with experience working with relational databases and/or cloud data warehouses.
- Strong Tableau experience, including dashboard design, published data sources, extracts/live connections, calculated fields, and performance considerations.
- Experience building reusable data models, reporting tables, views, or semantic layers.
- Strong business judgment and ability to translate ambiguous questions into clear metrics and analysis.
- Experience working with cross-functional teams such as Finance, Sales, Marketing, Operations, Support, and Product.
- Ability to communicate clearly with both technical and non-technical audiences.
- Strong data quality mindset, including validation, reconciliation, documentation, and root-cause analysis.
- Self-directed working style and ability to operate as the primary data person in the company.
Nice to have
- Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools.
- Experience with Salesforce, Zendesk, NetSuite, QuickBooks, or other business systems.
- Experience in payments, fintech, IoT, marketplace, usage-based, B2B, or recurring-revenue businesses.
- Experience supporting executive, board, finance, or company operating reviews.
- Familiarity with data governance, metric definitions, and data cataloging.
Technologies
- Postgres
- BigQuery
- Salesforce
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- QuickBooks
- NetSuite
- Tableau
- dbt
- Git
- Python
- Airflow
- AWS
About PayRange
PayRange is a leading fintech and mobile commerce platform transforming the unattended retail space. The platform enables seamless mobile purchases across vending, laundry, amusement, coffee, and other self-service settings, with a growing presence across North America, Europe, and Asia.
About the role
PayRange seeks a Senior Data Analyst, BI & Analytics to become the company’s first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will collaborate with the leadership team to build trusted reporting, dashboards, data sources, and analytical foundations used throughout the organization.
What success looks like
In the first 90 days, you will understand the core data sources, establish relationships with key stakeholders, take ownership of existing reporting, and deliver enhancements to the executive dashboard and core business metrics. Over time, you will establish a trusted data foundation, reduce manual reporting, increase confidence in key metrics, and empower every department to make data-driven decisions.
