Product Analyst - Document Verification

Socure • Carson City, NV

1d

About The Position

We are looking for a curious, data-driven Product Analyst to own the analytics strategy for our Document Verification (DocV) product. This role is pivotal in helping us understand, monitor, and improve one of the most critical components of our identity verification stack. You will own data analysis and reporting for DocV, build tools that help detect and prevent fraud, and support cross-functional teams - Product, Data Science, and Engineering - with deep analytical insights.
This role is ideal for someone who is highly analytical, proactive, and passionate about improving product performance through data. You’ll work with large datasets, run targeted analyses, create dashboards, and collaborate closely with product managers and data scientists to shape how we track, measure, and respond to the ever-evolving identity landscape.

Requirements

• 2+ years of experience in product analytics, data analysis, or a similar role in a data-focused environment.
• Excellent communication skills with the ability to present complex findings to technical and non-technical audiences, and experience communicating insights to external customers or client-facing teams is a very strong plus.
• Proficient in SQL and comfortable working with large datasets in cloud environments like Databricks, Snowflake, Mixpanel, or similar.
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) and a track record of building executive-ready dashboards.
• Strong problem-solving skills and attention to detail; ability to dig deep into transactional data to uncover insights, with a solid statistical foundation to support rigorous analysis.

Nice To Haves

• Familiarity with Python for data analysis (e.g., Pandas, Jupyter Notebooks) is a plus.
• Prior experience in identity verification, fraud detection, or risk analytics is a strong plus.

Responsibilities

• Own all data analysis related to Document Verification (DocV), and be the subject matter expert for this domain.
• Perform ad-hoc and recurring analyses to support product decisions, answer key questions, and uncover emerging fraud patterns.
• Build dashboards, alerting systems, and trackers to monitor product health, detect anomalies, and surface emerging issues (e.g., spikes in failure codes or fraud signals).
• Maintain and expand a centralized fraud and transaction database, generating long-term insights into fraud trends, false positives, and model efficacy.
• Collaborate with the Fraud Investigations (FI) team and manage labeling pipelines, monitor fraud trends, and incorporate findings into product development.
• Support customer success and product scoping efforts with data-driven insights.
• Conduct post-deployment performance analysis of fraud features, models, and new product capabilities.
• Operationalize proactive monitoring of new ID types, data exceptions, and unusual classification behavior.
• Manage our model governance process to regularly evaluate model performance and bias testing.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees