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60 Figure Data Analyst Jobs Hiring Near You

Figure

Data Quality Analyst

San Jose, CA

$30/hr

Data Quality Analyst Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA ...

Figure

Data Quality Analyst

San Jose, CA · On-site

Job Summary : Figure is an AI Robotics company developing a general purpose humanoid. They are seeking a Data Quality Analyst to help annotate and label data for AI training applications.

Figure

Data Quality Analyst

San Jose, CA

$30/hr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ...

Figure

Data Quality Manager

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. They are ... Strong analytical and problem-solving skills, with the ability to diagnose quality issues and ...

Figure

Data Quality Manager

San Jose, CA

$140K - $200K/yr

Data Quality Manager Figure is an AI robotics company developing autonomous general-purpose ... Strong analytical and problem-solving skills, with the ability to diagnose quality issues and ...

Figure

Data Quality Manager

San Jose, CA · On-site

$140K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Strong analytical and problem-solving skills, with the ability to diagnose quality issues and ...

Figure

Data Quality Manager

San Jose, CA

$140K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Strong analytical and problem-solving skills, with the ability to diagnose quality issues and ...

Figure

NPI Engineer

San Jose, CA · On-site

$135K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Understanding of PLM/ERP/MRP systems, scheduling tools, and data analysis. * Strong communication ...

Figure

NPI Engineer

San Jose, CA

$135K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Understanding of PLM/ERP/MRP systems, scheduling tools, and data analysis. * Strong communication ...

Figure

Failure Analysis Engineer (All Levels)

San Jose, CA · On-site

$120K - $250K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... CT, X-ray and interpret the data (VGStudio experience preferred) * FTIR chemical analysis and ...

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Figure Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What is it like to work at Figure?

Figure is a technology company that prioritizes innovation and collaboration, fostering an environment where employees can work together to drive progress and push boundaries.

The company's team structure is designed to be agile and adaptable, with a flat organizational hierarchy that encourages open communication and cross-functional collaboration. Figure's work environment is focused on delivering cutting-edge financial technology solutions, with a mission to make financial services more accessible and user-friendly.

Working at Figure may appeal to candidates who are passionate about fintech, enjoy working in a fast-paced and dynamic environment, and are motivated by the opportunity to contribute to a company that is shaping the future of financial services.
What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Figure?
What are the most popular categories at Figure?
Infographic showing various Data Analyst job openings at Figure in the United States as of May 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 100% Physical job distribution.
Data Quality Analyst

Data Quality Analyst

Figure

San Jose, CA

$30/hr

Other

Posted 4 days ago

Job description

Data Quality Analyst

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build. We are looking for a Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications.

Responsibilities:

  • Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots
  • Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency
  • Identify and flag ambiguous or edge-case scenarios for review by the ML team
  • Maintain high throughput and consistent quality across large annotation batches
  • Contribute feedback on workflow improvements and tool enhancements

Requirements:

  • Strong attention to detail and the ability to apply consistent logic across diverse scenarios
  • Comfortable navigating computer-based tools and quickly learning new software
  • Patient, quality-focused mindset with the ability to juggle multiple assignments
  • Clear written and verbal communication skills
  • Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment
  • Fluency in English required

This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We're looking for motivated people who want to support real-world robot development—and grow with us.

The US base salary range for this full-time position starts at $30/hr.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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