Last Updated on September 14, 2026 by Justin Bryant
Reddit is hiring a Senior Business Analyst, Revenue Analytics to build the data systems and dashboards behind its large-customer sales business. The full-time employee role lists a $167,500-$234,500 base salary, equity, benefits, and possible commission.
The posting is labeled Remote – United States, but this is not a work-from-anywhere U.S. opening. Reddit requires the employee to live within commuting distance of its New York City, Chicago, San Francisco, or Los Angeles offices, and the application asks candidates to confirm that condition.
Applicants also need a bachelor's degree, at least four years of relevant business experience, three years of SQL and relational-database experience, and three years of dashboard development. The official application was active when checked on September 14, 2026. Greenhouse job ID: 8023563; internal position ID: P-108602.
What Is Reddit?
Reddit is a social platform organized around communities where people discuss interests, ask questions, share information, and vote on content. The company says it has more than 100,000 active communities and approximately 130 million daily active unique visitors.
This opening sits within Revenue Strategy and Analytics rather than community moderation or customer support. The analyst supports Reddit's Large Customer Sales channel by making its revenue data more consistent, useful, and accessible to Sales, Finance, Product, Data Science, and other partners.
Reddit's official careers site shows a large current U.S.-remote inventory, but many positions are senior or technical. This particular role is best understood as a combination of business analysis, sales operations, analytics engineering, and dashboard ownership.
Pay and Benefits
The listed U.S. base salary range is $167,500-$234,500 per year. Reddit says the exact offer depends on factors such as skills, depth of experience, and relevant credentials.
The posting says the job is also eligible for equity in the form of restricted stock units. It may be eligible for commission depending on the position offered, so applicants should ask recruiting whether a variable-pay plan applies to this exact role and how it is calculated.
Benefits listed for U.S.-based employees include:
- Medical, dental, and vision coverage.
- Income replacement programs.
- A 401(k) with employer match.
- Workspace, professional-development, and caregiving support.
- Family-planning support.
- Mental-health and coaching benefits.
- Flexible vacation and paid volunteer time.
- Paid parental leave.
The listing does not state a closing date, bonus target, exact equity value, home-office amount, or how often this remote employee may need to visit an office.
Job Highlight: Senior Business Analyst, Revenue Analytics
The main job is to turn complex sales and revenue data into trusted systems that decision-makers can use. That includes maintaining data pipelines and business definitions, building dashboards, automating recurring reporting, and explaining what the numbers mean for revenue strategy.
This is more technical than many business-analyst openings. Reddit specifically asks for SQL, relational databases, and dashboard-development experience. The analyst would work with BigQuery data pipelines and Salesforce-to-revenue mappings while helping prepare data foundations for AI-assisted analytics tools.
The role is also more cross-functional than a reporting-only job. The analyst must guide business partners through complex findings, identify growth opportunities, improve operating processes, and communicate recommendations to teams with different levels of technical knowledge.
It may fit someone coming from sales operations, business operations, consulting, investment banking, revenue operations, or a similar analytical function. It is a weak match for an entry-level applicant or someone whose experience is limited to spreadsheets without SQL, database, and dashboard ownership.
Key Responsibilities
- Build and maintain analytical tools for Reddit's Large Customer Sales business.
- Develop and govern data models and business logic used by dashboards and AI-driven analytics tools.
- Manage and improve ETL workflows, revenue mappings, and BigQuery data pipelines.
- Partner with Sales, Finance, Product, Data Science, and go-to-market strategy teams.
- Translate complex data findings into practical growth and performance recommendations.
- Build, scale, and maintain dashboards for recurring business decisions.
- Automate recurring reports and improve data quality and reporting reliability.
- Work with Salesforce teams on revenue-data foundations.
- Help define trusted metrics and contextual business rules across reporting layers.
- Present findings clearly to technical and nontechnical stakeholders.
Qualifications
The official required qualifications include:
- A bachelor's degree or higher.
- At least four years of relevant experience in sales operations, business operations, consulting, investment banking, or a similar field.
- At least three years of experience with SQL and relational databases.
- At least three years developing dashboards in Looker or a comparable platform.
- Experience with large-scale data processing and analysis.
- Experience using AI-assisted coding or development tools to improve analytical workflows.
- Strong strategic thinking and the ability to convert analysis into measurable business action.
- Strong written and verbal communication.
BigQuery knowledge and online advertising or marketing-industry experience are listed as advantages rather than separate minimum-year requirements.
Resume Keywords
Consider these terms only when they accurately describe your experience:
- Revenue analytics
- Sales operations
- Business operations
- SQL
- Relational databases
- BigQuery
- ETL workflows
- Data pipelines
- Looker
- Dashboard development
- Salesforce
- Revenue mapping
- Semantic models
- Data governance
- Reporting automation
- Go-to-market strategy
- Cross-functional collaboration
- Performance analysis
- AI-assisted analytics
- Stakeholder communication
Strong resume bullets should connect technical work to a business result. Examples could include reducing reporting time, improving data accuracy, increasing dashboard adoption, identifying a revenue opportunity, or automating a recurring workflow. Use real numbers only when you can support them.
Location and Schedule
The official record identifies the job as Remote – United States, a regular employee position, full time, and scheduled for 40 hours per week.
However, the description narrows eligibility to people living within commuting distance of Reddit's New York City, Chicago, San Francisco, or Los Angeles offices. The application asks this as a required screening question. Applicants outside those commuting areas should not assume that the general Remote – United States label makes them eligible.
The posting does not explain how Reddit defines commuting distance, how frequently office attendance may be requested, or whether nearby residents of adjacent states qualify. Ask recruiting for a precise answer before making relocation plans.
No fixed daily shift, travel percentage, equipment specification, or home-internet requirement is provided. The role requires extensive collaboration and verbal communication, so it should not be treated as an independent or meeting-free analytics job.
Closing Notes
This is a strong opening for an experienced analyst who combines business judgment with technical data skills. The recognizable employer, high salary range, equity, benefits, and clear revenue-impact mission create a compelling opportunity.
The biggest catches are substantial. A degree and several years of specialized experience are required, and the remote label is limited by the four-office commuting rule. Applicants should also clarify commission eligibility, office-visit expectations, and exact location eligibility with recruiting.
Reddit's official metadata lists a recruiting start date of September 8, 2026. The application and submit form were last verified active on September 14, 2026. Greenhouse job ID: 8023563; position ID: P-108602.
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