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in San Francisco, CA
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Verified per hour - $45700 - $57100
Verified per year - $45700 - $57100
Verified per year 
$30est. per hour Chevron • 3d agoUrgently hiring 11.8 mi Use left and right arrow keys to navigate- Chevron • 3d ago
Urgently hiring 11.8 mi Use left and right arrow keys to navigate
Business Data Analyst
| Estimated Pay | $27 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | San Francisco, California |
Compare Pay
Estimated Pay$22.28
$27.26
$37.85
About this job
Scale is looking for a Business Data Analyst to join our Analytics team to help advance AI development. You will partner with leadership and teams from across the business-from finance to operations-to help unpack ambiguous problems and drive better company decision making. Your work will directly evolve how Scale operates and measures itself. The ideal candidate has a strong technical background, is talented at turning data into actionable insights, and can work effectively with stakeholders across the company.
You will:
- Develop robust frameworks for tackling complex analytical challenges. Translate intricate data analysis into actionable insights and strategic recommendations to guide business decisions.
- Help establish and oversee a structured operational cadence (ex: Planning, MBRs), ensuring these processes better decision making across the organization.
- Analyze and synthesize competitive dynamics and customer insights to highlight opportunities to improve our business
- Partner with closely with Finance to develop business metrics to understand our existing financial performance and influence our financial future
- Define and drive alignment on the right metrics to use to measure business performance internally and externally
- Partner extensively with our cross functional stakeholders (ex: EPD, Ops, Finance) on insights, planning and ad-hoc projects
Ideally You'd Have:
- 2-6+ years of industry experience in a highly analytical role (ex: BizOps, Product Analytics, etc.)
- Prior experience in tech strongly preferred, especially startups
- Strong proficiency in SQL queries (Python nice to have)
- Strong proficiency in data visualization/presentation
- Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies
- Excellent stakeholder management skills
- Strong communication and presentation skills to executives
- Ability to get the "so what" out of any analysis you do
Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as "senior," but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.
Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's for additional information.
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