LandOffer
Business Analyst
Job details
- Level
- Mid level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Oct 17, 2026
- Last confirmed open
- Oct 17, 2026
About this role
About The Role
The role sits at the intersection of data, systems, and business process: translating messy operational questions into clean analyses, dashboards, and recommendations that leadership acts on. You will work across revenue, finance, and product teams to model performance, improve reporting infrastructure in SQL and BI tools, and own the metrics that drive quarterly planning.
Key Responsibilities
Build and maintain dashboards in Looker, Tableau, or Power BI that track core business and revenue KPIs Write and optimize SQL queries against data warehouses (Snowflake, BigQuery, or Redshift) to answer ad hoc and strategic questions Partner with RevOps and finance to define metrics, audit data pipelines, and resolve reporting discrepancies Analyze funnel performance, pricing, and customer behavior; deliver findings and recommendations to stakeholders Document business requirements and translate them into specs for data engineering and analytics engineering teams Support quarterly planning and forecasting with scenario models in Excel, Sheets, or Python Identify process gaps and drive adoption of reporting standards across teams What We Are Looking For 3-6 years of experience in business analysis, revenue operations, or analytics at a technology company Advanced SQL skills and hands-on experience with at least one major BI tool (Looker, Tableau, or Power BI) Strong data modeling and financial/business analysis fundamentals; comfortable owning metrics end-to-end Experience partnering with sales, finance, or product teams in a fast-moving environment Bachelor's degree in a quantitative field (economics, statistics, engineering, or related) or equivalent practical experience Clear written and verbal communication; able to explain analysis to both technical and executive audiences Bonus: Python or R for analysis, dbt experience, familiarity with Salesforce/CRM data models, or prior RevOps exposure