ncontracts - Analytics Engineer
Requirements
• Technical Foundation • 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 • Analytical Mindset • Experience building metrics frameworks and defining KPIs that drive product and business decisions • Track record of error analysis and root cause investigation on product and data quality issues • Ability to work backwards from business questions to data requirements • Healthy skepticism about data quality and metric definitions—you ask “should we trust this number?” before building on it • Product Orientation • Genuine curiosity about how products work and why users behave the way they do • Experience partnering directly with product and engineering teams in a collaborative, cross-functional environment • Communication skills to make technical findings accessible to non-technical stakeholders • Comfort with ambiguity and the ability to iterate toward the right answer rather than waiting for perfect requirements • Knowledge of financial services data domains such as lending, compliance, risk management, or regulatory reporting • Background in high-volume event data, behavioral analytics, or product telemetry systems • Exposure to funnel analysis, cohort analysis, or experimentation frameworks (A/B testing) • Understanding of software system architectures and how they generate telemetry • Enthusiasm for AI and a habit of using AI tools to accelerate your own work—writing code, automating tasks, exploring data, or prototyping solutions • Experience measuring or evaluating AI-powered product features, including defining success metrics, tracking adoption, or analyzing model performance from a product analytics perspective • Familiarity with emerging data and workflow patterns, including tracing, observability, and agent-based systems • Experience with Python for data transformation, scripting, or automation tasks • Experience with data observability platforms (Monte Carlo, Elementary, Soda) • Knowledge of compliance frameworks relevant to financial services (SOC 2, GLBA, FFIEC) • Experience implementing data contracts, data mesh, or modern data governance frameworks • Exposure to orchestration tools such as Airflow, Dagster, or Prefect • dbt Analytics Engineering Certification or SnowPro certification • Familiarity with reverse ETL tools (Census, Hightouch) for activating data in operational systems • Contributions to open-source data or analytics projects
Responsibilities
• 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
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 • 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! • AAP/EEO Statement
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