Revenue Operations Data Analyst - Portland Metro

OneApp•Portland, OR

2d•Hybrid

About The Position

As a Revenue Operations Data Analyst at OneApp, you will play a key role in transforming data into actionable insights that drive strategic business decisions and revenue growth. Partnering with cross-functional teams across Sales, Marketing, Customer Success, Finance, and Operations, you will analyze performance trends, develop impactful reports and dashboards, and support data-driven initiatives that improve efficiency and business outcomes. In this role, you will help uncover opportunities, measure key performance indicators, and provide insights that enable stakeholders to make informed decisions. You will work with modern analytics tools and data platforms to deliver accurate, meaningful reporting that supports OneApp's growth objectives. This is an excellent opportunity for an early-career analyst to develop technical expertise in analytics, business intelligence, and revenue operations while gaining valuable exposure to business strategy, operational excellence, and organizational decision-making in a fast-growing environment.

Requirements

Bachelors degree in a quantitative or analytical field (e.g., Business Analytics, Statistics, Computer Science, Economics, Finance, Mathematics or equivalent hands on experience.
Working proficiency with SQL, including experience writing queries in Snowflake and MySQL (joins, aggregations, CTEs, window functions).
Hands-on experience building reports and dashboards in Power BI, including data modeling and basic DAX.
Strong analytical thinking with attention to detail and a commitment to data accuracy.
Clear written and verbal communication skills, with the ability to explain findings to non-technical audiences.
Ability to manage multiple priorities and meet deadlines in a collaborative environment.

Nice To Haves

Working knowledge of HubSpot, particularly around CRM data, marketing/sales reporting, or HubSpot data exports.
Understanding of data flows and how data moves between source systems, warehouses, and reporting tools (ETL/ELT concepts).
Experience defining or working with KPIs and business metrics frameworks.
Familiarity with automation concepts — scheduled refreshes, alerting, workflow tools (e.g., Power Automate, Zapier), or scripting (Python preferred).
Exposure to version control (Git) and modern analytics workflows.

Responsibilities

Write and optimize SQL queries against Snowflake and MySQL databases to extract, transform, and analyze data.
Build, maintain, and enhance interactive dashboards and reports in Power BI for stakeholders across the business.
Partner with team members to translate business questions into clear, well-scoped analytical deliverables.
Validate data quality and investigate discrepancies between source systems and reporting layers.
Document data sources, definitions, metrics, and report logic to support self-service analytics.
Support ad-hoc analysis requests and contribute to recurring business reviews.
Continuously look for opportunities to streamline manual processes and improve reporting efficiency.