Analytics Engineer

Ncontracts•Brentwood, TN

2d•$120,000 - $160,000•Remote

About The Position

Headquartered in Nashville, Tenn., Ncontracts leads the industry in integrated risk management and compliance solutions, serving over 5,000 financial institutions nationwide. As a seven-time Inc. 5000 Fastest Growing Companies honoree and consistent year-over-year recipient of "Best Places to Work" awards, we offer a thriving, work environment where career growth and life-work balance go hand in hand. At Ncontracts, you'll join a team of industry experts dedicated to strengthening the financial services sector through innovation and thought leadership. We're seeking creative, collaborative, and self-driven professionals across all areas of our business - from developing cutting-edge solutions to sales, marketing, customer support, and beyond. Join us in our mission to make the financial industry stronger and more resilient, while advancing your career in a supportive, dynamic environment that values your unique skills and perspectives. THE ROLE We are currently seeking an Analytics Engineer to join our growing team! The Analytics Engineer reports to the Data Architect and is responsible for building the data models and analytical frameworks that drive product improvement across Ncontracts’ suite of risk management and compliance solutions. This role sits at the intersection of data modeling and product analytics. You’ll own the transformation and presentation layers that turn raw product data into actionable insights, working closely with engineering and product teams to identify what’s working, what isn’t, and why. You’ll need strong SQL and modeling skills to build reliable, well-tested datasets, and equally strong product intuition to know which metrics actually matter for our financial institution customers. Our modern data stack includes Snowflake as our cloud data warehouse, dbt for data transformation and modeling, and Sigma for business intelligence and visualization. You’ll own the modeling layer end-to-end—designing well-structured, documented, and tested datasets that power decisions across the organization. This role will have a direct impact on our customers and our brand. You’ll deliver the next generation of customer-facing reporting, dashboards, and data products that elevate the Ncontracts experience and set a new standard for how financial institutions interact with their data. We’re looking for candidates who are curious, resourceful, and genuinely excited about AI—whether that’s using it to streamline their own workflows, finding smarter ways to validate data, or simply staying on top of how the landscape is evolving. You don’t need to be an ML engineer, but we want someone who leans into new tools and approaches rather than waiting to be told to use them.

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
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
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

Nice To Haves

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
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!