Data Analyst

Syntrace; Los Angeles (CA); On-site; USD 65,000 - 95,000; Full time

Job summary

Syntrace, based in Los Angeles, is hiring a Data Analyst who will turn our data into decisions and analyze how customers use the product. You will measure the quality of our AI outputs and provide product, sales and leadership with the insights they need to move the business forward.

You will join a team that understands data deeply, with a founding role and real ownership, and work alongside a senior team that has scaled companies before.

Qualifications

• Experience in data analysis or a strong academic background in a quantitative field.
• Proficient SQL and Python (or similar language) for analysis.
• Ability to turn vague questions into clear, actionable insights.

Responsibilities

• Turn data into decisions that guide product, sales and leadership.
• Analyze how customers use the product and measure AI output quality.
• Provide insights to inform strategy and priorities for the company.

Skills

Data analysis

SQL

Python

Education

Quantitative field degree

Job description

Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on.

We are now hiring a Data Analyst, based in Los Angeles.

You will turn our data into decisions. You will analyze how customers use the product, measure the quality of what our AI delivers and give product, sales and leadership the insights they need.

Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it.

What you bring:

• A few years of experience in data analysis, or a strong academic background in a quantitative field.
• Strong SQL, and experience with Python or a similar language for analysis.
• The ability to turn a vague question into a clear answer.

What you get:

• A founding role with real ownership.
• A senior team that has scaled companies before.
• The chance to shape how a company understands itself.