
The role lives at the intersection of business strategy, system design, and data analytics. This position acts as the analytical engine driving revenue operations, ensuring that the technology stack, business processes, and commercial data structures are fully aligned to support rapid scaling.
Working closely with Sales Operations, Marketing, and Finance, the role is responsible for diagnosing operational bottlenecks, mapping complex business processes, and building the reporting infrastructure needed to guide executive decision-making.
Key Responsibilities
- Design, build, and maintain operational dashboards in Tableau, Power BI, or Looker to track key performance indicators including ARR, pipeline velocity, and customer acquisition costs
- Own the administration, data hygiene, and workflow automation within CRM platforms like Salesforce or HubSpot to optimize the lead-to-opportunity lifecycle
- Conduct deep-dive statistical analyses on commercial datasets using SQL and Excel to identify trends, churn risks, and cross-sell opportunities
- Map and document end-to-end business processes, identifying inefficiencies and partnering with engineering teams to automate manual workflows
- Lead requirements-gathering sessions with cross-functional business stakeholders and translate complex operational needs into clear technical specifications
- Collaborate with data engineering teams to design robust data models and schemas that support scalable enterprise business intelligence reporting
- 3–6 years of experience as a Business Analyst, Revenue Operations Analyst, or Sales Operations Analyst within a high-growth technology or SaaS environment
- Advanced SQL proficiency for querying, data manipulation, and building complex relational joins across multiple data warehouses like Snowflake, BigQuery, or Redshift
- Hands-on administrative experience with Salesforce (SFDC), including custom objects, validation rules, flow builder, and reporting structures
- Proven experience building and maintaining enterprise-grade dashboards in BI tools, specifically Tableau, Looker, or Power BI
- Bachelor's degree in Business Administration, Information Systems, Finance, Computer Science, or a related quantitative field
- Bonus: Salesforce Administrator Certification (ADM-201), experience with Python or R for data analysis, or familiarity with dbt (data build tool)
About the company
Company website•Technology, Information and Internet
Scale.jobs is a human-powered job application service for serious job seekers in the US market, built to help them move faster, apply smarter, and land sooner.
We apply to jobs for you manually, at scale, and with precision. Our job concierge team manages the full application process on your behalf, so your time goes toward interview prep, not form-filling.
Scale.jobs is built for Early and senior professionals, H-1B holders, OPT students, new graduates, and basically everyone who wants to save their time for upskilling, networking, learning, and competing in a difficult US job market.
Every client gets a dedicated job hunting team that applies to hundreds of targeted roles, matched to their experience, visa status, and career goals.
We also offer resume optimization, LinkedIn profile optimization, and career strategy consulting for job seekers who want every part of their search working together.
The results speak for themselves.
93% of Scale.jobs clients land a job within 3 months. The average job search goes from 5 months to 1–3.
70% of clients who request a refund because they found a job before their credits ran out. That's how our refund policy works - get back everything you didn't use, even after you get hired.
On Trustpilot, we're rated 4.6 across 202 reviews.
Our clients have come from Stanford, Carnegie Mellon, NYU, Lyft, Instacart, and Michigan and the one thing they had in common was not wanting to apply alone anymore.










