Analytics Engineer

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Ncontracts

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

☁️ SaaS

📋 Compliance

🏦 Banking

💰 Private Equity Round - Ncontracts on 2015-05

SaaS • Compliance • Banking

Ncontracts is a provider of integrated risk and compliance management software and services focused on financial institutions. Their SaaS platform offers enterprise risk management, compliance management (including AI-powered regulatory research and complaint categorization), vendor/third‑party risk management, audit and findings management, business continuity, cybersecurity assessments, and lending compliance (CRA, HMDA, 1071). Ncontracts serves banks, credit unions, mortgage lenders, fintechs and wealth managers, combining attorney-created knowledge bases, AI tools, and implementation/support services to help institutions manage regulatory obligations and third‑party risk.

📋 Description

• Design, build, and maintain the data models in Snowflake using dbt that power product analytics—from raw source data through to business-ready, well-documented datasets • Define and maintain metrics frameworks and KPIs that drive product and business decisions across the organization • Build interactive dashboards and self-service reports in Sigma that empower stakeholders to explore data and answer their own questions • Design instrumentation strategies with engineering teams to ensure we’re capturing the right signals from Ncontracts’ product suite • Partner with product managers to translate fuzzy questions (“why is this feature underperforming?”) into precise, answerable analyses • Conduct deep-dive analyses including funnel analysis, cohort analysis, and root cause investigations to surface product insights • Own data quality end-to-end, including dbt tests, validation, documentation, and monitoring across all models • Optimize query performance and warehouse costs in Snowflake through efficient modeling patterns, materialization strategies, and resource monitoring • Establish and enforce data governance standards, including naming conventions, documentation requirements, and consistent metric definitions to maintain a single source of truth • Contribute to the evolution of the data platform by evaluating new tools, technologies, and best practices

🎯 Requirements

• 5+ years of experience in analytics engineering, data analytics, or a related data role with demonstrated technical expertise • Strong SQL proficiency with experience writing complex queries for data transformation, analysis, and performance optimization • Hands-on experience with dbt (dbt Core or dbt Cloud), including model design, testing, documentation, and deployment workflows • Experience working with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks) • Solid understanding of data modeling concepts, including dimensional modeling, slowly changing dimensions, and star/snowflake schemas • Proficiency with data visualization and BI tools, preferably Sigma, with the ability to create compelling dashboards and reports for diverse audiences • Understanding of software engineering fundamentals: version control (Git), testing, code review, and CI/CD practices • Comfort working with semi-structured data (JSON, nested structures) • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience

🏖️ Benefits

• A fun, fast-paced work environment • Responsible PTO Plan that meets or exceeds state and local medical and family leave laws • 11 paid holidays • Community and social events to keep you connected and engaged • Mental Health Benefits • Medical, Dental and Vision insurance • Company-paid Group Life Insurance, Short- and Long-Term Disability • Flexible Spending Account & Health Savings Account • Aflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice • Pet Insurance • 401 (k) with company match with eligibility on Day 1 of employment • 2 Paid Volunteer Time Off Days • And much more!