Data Analyst, GenAI Marketplace at Scale Workforce LTD

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

187000.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, Tableau, Python, Data Models, Dashboards, Communication, Presentation Skills, Data Inconsistencies, Business Metrics, AI Agents, Growth Strategies, Hypothesis Development, Stakeholder Engagement, Data Validation, Problem Solving

Industry

Software Development

Description

Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. This role will partner with leadership, operators, and engineers in our Growth Operations team to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will directly evolve how Scale operates and measures its growth strategies, funnels, and pipelines. The ideal candidate is detail oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems. You will: Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs Be a thought partner with the broader Growth organization to simplify and improve existing data assets Deploy AI agents to streamline analytics, creating self serve capabilities Tackle business critical questions by developing hypotheses and testing and iterating on interim results Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps Ideally You'd Have: 3+ years of industry experience in a highly analytical role Degree in a quantitative field (e.g., Math, Stats, Engineering) Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets. Expert knowledge in using and communicating through BI tools like Tableau Working knowledge of Python and associated data libraries Excellent communication and presentation skills to executives Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies Compensation packages at Scale for eligible roles 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $149,600—$187,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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 Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Senior Data Analyst will build scalable data assets to provide reliable analytics and insights for growth leads. They will partner with various stakeholders to tackle business-critical questions and improve existing data assets.