The Revenue Operations Analyst will optimize marketing funnels, maintain data integrity, create dashboards, and develop attribution models for strategic insights.
About Haus
Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision. Over $360B spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and re-allocate it to maximize growth.
Haus was built by a team of former product managers, economists, and engineers from Google, Netflix, Meta, and others to make high-quality decision science accessible to businesses of all sizes. By automating the heavy lifting of experiment design, data processing, and insights generation, we empower our customers to make more profitable, data-driven decisions. We hear our customers frequently rave about our product, for example "we've seen north of 10x ROI on our annual investment in Haus in the first 2 months alone.”
Haus is on a hypergrowth trajectory, well-capitalized, and backed by top-tier VCs including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized and has made the list for 2025's exceptional startups!
What You'll Do
Haus is seeking a highly motivated and analytical Revenue Operations Analyst to join our dynamic team. The ideal candidate will have a strong background in marketing operations tools and processes, coupled with a proven ability to derive actionable insights from data and present them clearly. You will play a critical role in optimizing our marketing funnel, improving data integrity, and providing key insights to inform strategic decisions across the revenue organization.
Responsibilities:
- Marketing Analytics: Design, build, and maintain dashboards in Tableau to track key marketing and sales performance indicators including funnel conversion rates, velocity, and customer acquisition cost.
- Marketing Efficacy: Develop marketing attribution models to accurately measure and drive the impact and ROI of various marketing channels and campaigns.
- Pipeline Forecasting: Collaborate marketing channel owners to provide data-driven insights that support pipeline generation forecasting.
- Campaign Operations: Support the execution of marketing campaigns by managing lists, segmentation, and ensuring proper tracking and data capture.
- Lead Management & Conversion: Oversee and refine lead scoring and outreach processes to ensure high-quality leads are efficiently passed to the sales team. Collaborate with marketing and sales teams to establish and maintain Service Level Agreements (SLAs).
- Data Governance: Champion data integrity within marketing systems. Develop and implement data quality standards, conduct regular audits, and manage data enrichment processes.
Qualifications
- Bachelor’s degree in Marketing, Business, Economics, Statistics, or a related field.
- 4+ years of experience in a Revenue Operations, Marketing Operations, or Data Analyst role, preferably in a startup/B2B SaaS business.
- Experience with Hubspot (marketing automation) and Salesforce (CRM)
- Experience developing dashboards in data visualization tools (Tableau)
- Proficiency in Excel/Google Sheets
What We Offer
- Competitive Compensation: Competitive salary and startup equity
- Comprehensive Benefits: Top-of-the-line health, dental, and vision insurance
- Retirement Plan: 401(k) plan to help you save for the future
- Tools and Resources: We'll provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
- Impactful Work: Small team with a big impact on the overall company success.
- Professional Growth: Opportunities for professional development and career advancement in a rapidly scaling startup
- Collaborative Culture: Work alongside a talented team from leading tech companies in a supportive and inclusive environment
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Top Skills
Excel
Google Sheets
Hubspot
Salesforce
Tableau
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Senior Data Informatics Analyst, you will analyze cloud operations data,develop dashboards, and provide insights to optimize cloud spending and drive strategic decision-making.
Top Skills:
AIMachine LearningExcelPower BIPythonRSQLTableau
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Data Scientist II will collaborate with Finance, Product, and Engineering teams to enhance financial processes through data modeling, analysis, and recommendations, driving product initiatives and optimizing cash flow operations.
Top Skills:
Apache AirflowLookerPythonSQLTableau
.png)
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
As a Senior Data Scientist, you will develop advanced models for pricing and underwriting, collaborate with various teams, and enhance AI/ML solutions for the company.
Top Skills:
AIAWSBayesian MethodsMlMlopsSnowflake
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
