Product Analyst, Tech Platform – Data

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Ocrolus

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

💸 Finance

💳 Fintech

💰 $80M Series C on 2021-09

Artificial Intelligence • Finance • Fintech

Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.

📋 Description

• Own the collection, analysis, and reporting of key platform metrics including system uptime, API latency, developer deployment frequency, and data quality scores. • Build and maintain dashboards to track platform health and adoption trends across internal consumers. • Proactively surface anomalies, regressions, or usage trends and translate them into clear product recommendations. • Support the PM in writing and maintaining PRDs, epics, user stories, and acceptance criteria. • Conduct research and competitive analysis to inform roadmap decisions. • Document findings from stakeholder interviews, incident reviews, and backlog grooming sessions. • Gather and synthesize feedback from internal platform consumers such as application developers, data analysts, and other PMs to identify friction points and unmet needs. • Assist in running lightweight discovery sessions and translating qualitative feedback into structured problem statements. • Monitor data pipeline health and flag issues across ingestion, transformation, and delivery layers. • Work with Engineering and Data teams to validate data quality and ensure accuracy of reported metrics. • Track sprint progress, manage the product backlog under PM direction, and flag risks or blockers. • Assist in preparing materials for roadmap reviews, quarterly business reviews, and executive presentations. • Help coordinate dependency management across platform and application teams.

🎯 Requirements

• 2–4 years of experience in a product analyst, data analyst, business analyst, or associate PM role, ideally in a technical or platform product environment. • Strong SQL proficiency comfortable writing complex queries against data warehouses (Snowflake, BigQuery, or similar) to answer product questions independently. • Working knowledge of data infrastructure concepts: data pipelines, APIs, data warehousing, and BI tools (Tableau, Metabase, etc.). • Familiarity with cloud and microservices environments (AWS/GCP/Azure, REST APIs, containerization concepts) - you don't need to write infrastructure code, but you should be able to read architecture docs and ask the right questions. • Clear written communication - able to translate technical findings into crisp summaries for both engineers and business stakeholders. • Experience with project/product tools such as Jira, Confluence, or equivalent. • Bachelor's degree in Computer Science, Engineering, Statistics, or a related analytical field or equivalent hands-on experience.

🏖️ Benefits

• flexible working environment • health benefits • opportunities for professional growth