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Jobs(38,923)/Data Analyst Role(367)/Ocrolus Inc. (10) - Product Analyst, Tech Platform & Data
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Ocrolus Inc.

Ocrolus Inc. - Product Analyst, Tech Platform & Data

Remote - IND4d ago
RemoteMidAPACFintechCloud ComputingData AnalystAssociateSQLTeam ManagementSnowflakeAWSTableauMetabaseAzureRESTGCPJiraConfluencedbtAirflowReportingData QualityCompetitive AnalysisDocumentation

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. • 2–4 years • Strong SQL proficiency comfortable writing complex queries against data warehouses (Snowflake, BigQuery, or similar) to answer product questions independently. • Strong SQL proficiency • Working knowledge of data infrastructure concepts: data pipelines, APIs, data warehousing, and BI tools (Tableau, Metabase, etc.). • Working knowledge of data infrastructure • 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. • Familiarity with cloud and microservices environments • Clear written communication - able to translate technical findings into crisp summaries for both engineers and business stakeholders. • Clear written communication • 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. • Exposure to CI/CD pipelines, dbt, or Airflow. • Experience in a fintech or enterprise SaaS environment. • Familiarity with internal developer platforms (IDPs) or platform engineering concepts. • Prior experience supporting a senior PM or working in an embedded analytics function. • What a Typical Day Might Look Like: • Pulling platform usage data from Snowflake to answer a question raised during the weekly metrics review. • Updating the team's health dashboard after a data pipeline regression was flagged overnight. • Drafting user stories for an upcoming sprint with acceptance criteria reviewed by the PM. • Interviewing two internal engineering teams to document their pain points with the current data ingestion workflow. • Preparing slide content for the PM's quarterly roadmap presentation to leadership. • Life at Ocrolus • Life at Ocrolus • We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. • Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence • Our culture is grounded in four core values: • Empathy – • Curiosity – • Humility – • Ownership – • We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. • We look forward to building the future of lending together.

Responsibilities

• Analytics & Insights: • 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. • Product Support & Documentation: • 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. • Stakeholder Research: • 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. • Data & Platform Operations: • 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. • Execution Support: • 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.

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