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60 Figure Data Analyst Jobs Hiring Near You

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Familiarity with Weibull++, JMP, or related data analysis software. * Experience in hardware ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Familiarity with Weibull++, JMP, or related data analysis software. * Experience in hardware ...

Senior Quality Engineer, BotQ

San Jose, CA · On-site

$145K - $200K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed ... Utilize statistical process control (SPC) and data analytics to monitor production health and drive ...

Senior Quality Engineer, BotQ

San Jose, CA · Hybrid

$145K - $200K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed ... Utilize statistical process control (SPC) and data analytics to monitor production health and drive ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Execute testing at the customer site, including tracking and analyzing data collections and ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Analyze test data to evaluate product performance against technical requirements/specifications.

Showing results 21-40

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 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.
Reliability Test Engineer, Mechatronics (All Levels)

Reliability Test Engineer, Mechatronics (All Levels)

Figure

San Jose, CA

$120K - $250K/yr

Other

Posted 13 days ago


Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Reliability Test Electrical Engineer to design and develop test stations for our humanoid robots to ensure that they are meeting our product lifetime reliability targets.

Responsibilities: 

  • Develop and implement scalable and flexible hardware test systems and instrumentation to meet critical data acquisition and performance requirements for humanoid robot systems and components, including computing, cameras, power distribution, batteries, sensors, radio devices, and actuators.
  • Validate test solutions, and support test system integration and execution activities, including hands-on bring-up and debugging.
  • Drive test station qualification to ensure test accuracy, repeatability, and stability.
  • Prepare and review design artifacts (drawings, schematics, layouts, bills of materials, etc.) for and with peers and external suppliers to ensure test readiness and compliance.
  • Collaborate with hardware design, reliability, and failure analysis engineers to develop and execute accelerated life test plans that validate product performance against design specifications and requirements.

Requirements: 

  • 2+ years of experience in hardware test engineering, with a focus on test station design, implementation or deployment.
  • Bachelor's degree or higher in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Science, or a related field.
  • Experience with a variety of test hardware, including PLCs, power supplies, electronic loads, DAQs, sensors, pogo-pin interfaces.
  • Knowledge of communication protocols (CAN, Ethernet, UART, I2C, SPI) and hands-on experience with configuring and debugging these interfaces.
  • Ability to design interfaces and support PCBAs for test setup.
  • Experience with automation tools, programming languages, and test frameworks.

Bonus Qualifications: 

  • Experience designing and executing test plans for robotic, automotive, or consumer products.
  • Experience collaborating with test equipment suppliers to specify and develop custom test setups.
  • Experience supporting high-volume manufacturing test stations at contract manufacturers (CMs).
  • CAD experience (CATIA, EPLAN, SolidWorks Electrical, etc.)
  • Experience working with electric motors, actuators, batteries, or battery-powered systems.
  • Knowledge in statistical methods (6s, SPC, Cpk) for data analytics

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

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.Â