{"schemaVersion":"jobsearcher.job.v1","id":"8caff4896ba6d36d055bb604","url":"https://jobsearcher.com/jobs/8caff4896ba6d36d055bb604","canonicalUrl":"https://jobsearcher.com/jobs/8caff4896ba6d36d055bb604","title":"Analytics Engineer","description":"WHO WE ARE\r\nHeadquartered in Nashville, Tennessee, 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.\r\nAt 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.\r\nTHE ROLE\r\nWe 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.\r\nThis 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.\r\nOur 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.\r\nThis 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.\r\nWe'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.\r\nYOU WILL\r\nDesign, 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\r\nDefine and maintain metrics frameworks and KPIs that drive product and business decisions across the organization\r\nBuild interactive dashboards and self-service reports in Sigma that empower stakeholders to explore data and answer their own questions\r\nDesign instrumentation strategies with engineering teams to ensure we're capturing the right signals from Ncontracts' product suite\r\nPartner with product managers to translate fuzzy questions (\"why is this feature underperforming?\") into precise, answerable analyses\r\nConduct deep-dive analyses including funnel analysis, cohort analysis, and root cause investigations to surface product insights\r\nOwn data quality end-to-end, including dbt tests, validation, documentation, and monitoring across all models\r\nOptimize query performance and warehouse costs in Snowflake through efficient modeling patterns, materialization strategies, and resource monitoring\r\nEstablish and enforce data governance standards, including naming conventions, documentation requirements, and consistent metric definitions to maintain a single source of truth\r\nContribute to the evolution of the data platform by evaluating new tools, technologies, and best practices\r\nYOU BRING (Qualifications)\r\nTechnical Foundation\r\n5+ years of experience in analytics engineering, data analytics, or a related data role with demonstrated technical expertise\r\nStrong SQL proficiency with experience writing complex queries for data transformation, analysis, and performance optimization\r\nHands-on experience with dbt (dbt Core or dbt Cloud), including model design, testing, documentation, and deployment workflows\r\nExperience working with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks)\r\nSolid understanding of data modeling concepts, including dimensional modeling, slowly changing dimensions, and star/snowflake schemas\r\nProficiency with data visualization and BI tools, preferably Sigma, with the ability to create compelling dashboards and reports for diverse audiences\r\nUnderstanding of software engineering fundamentals: version control (Git), testing, code review, and CI/CD practices\r\nComfort working with semi-structured data (JSON, nested structures)\r\nBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience\r\nAnalytical Mindset\r\nExperience building metrics frameworks and defining KPIs that drive product and business decisions\r\nTrack record of error analysis and root cause investigation on product and data quality issues\r\nAbility to work backwards from business questions to data requirements\r\nHealthy skepticism about data quality and metric definitions—you ask \"should we trust this number?\" before building on it\r\nProduct Orientation\r\nGenuine curiosity about how products work and why users behave the way they do\r\nExperience partnering directly with product and engineering teams in a collaborative, cross-functional environment\r\nCommunication skills to make technical findings accessible to non-technical stakeholders\r\nComfort with ambiguity and the ability to iterate toward the right answer rather than waiting for perfect requirements\r\nBONUS POINTS (Preferred Qualifications)\r\nKnowledge of financial services data domains such as lending, compliance, risk management, or regulatory reporting\r\nBackground in high-volume event data, behavioral analytics, or product telemetry systems\r\nExposure to funnel analysis, cohort analysis, or experimentation frameworks (A/B testing)\r\nUnderstanding of software system architectures and how they generate telemetry\r\nEnthusiasm for AI and a habit of using AI tools to accelerate your own work—writing code, automating tasks, exploring data, or prototyping solutions\r\nExperience measuring or evaluating AI-powered product features, including defining success metrics, tracking adoption, or analyzing model performance from a product analytics perspective\r\nFamiliarity with emerging data and workflow patterns, including tracing, observability, and agent-based systems\r\nExperience with Python for data transformation, scripting, or automation tasks\r\nExperience with data observability platforms (Monte Carlo, Elementary, Soda)\r\nKnowledge of compliance frameworks relevant to financial services (SOC 2, GLBA, FFIEC)\r\nExperience implementing data contracts, data mesh, or modern data governance frameworks\r\nExposure to orchestration tools such as Airflow, Dagster, or Prefect\r\ndbt Analytics Engineering Certification or SnowPro certification\r\nFamiliarity with reverse ETL tools (Census, Hightouch) for activating data in operational systems\r\nContributions to open-source data or analytics projects\r\nWE OFFER\r\nA fun, fast-paced work environment\r\nResponsible PTO Plan that meets or exceeds state and local medical and family leave laws\r\n11 paid holidays\r\nCommunity and social events to keep you connected and engaged\r\nMental Health Benefits\r\nMedical, Dental and Vision insurance\r\nCompany-paid Group Life Insurance, Short- and Long-Term Disability\r\nFlexible Spending Account & Health Savings Account\r\nAflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice\r\nPet Insurance\r\n401 (k) with company match with eligibility on Day 1 of employment\r\n2 Paid Volunteer Time Off Days\r\nAnd much more!\r\nAAP/EEO Statement\r\nNcontracts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\r\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.\r\nOther Duties\r\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\r\nJ-18808-Ljbffr","company":"Ncontracts","rawCompany":"ncontracts","city":"Franklin","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:37:27.524Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","description":"WHO WE ARE\r\nHeadquartered in Nashville, Tennessee, 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.\r\nAt 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.\r\nTHE ROLE\r\nWe 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.\r\nThis 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.\r\nOur 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.\r\nThis 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.\r\nWe'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.\r\nYOU WILL\r\nDesign, 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\r\nDefine and maintain metrics frameworks and KPIs that drive product and business decisions across the organization\r\nBuild interactive dashboards and self-service reports in Sigma that empower stakeholders to explore data and answer their own questions\r\nDesign instrumentation strategies with engineering teams to ensure we're capturing the right signals from Ncontracts' product suite\r\nPartner with product managers to translate fuzzy questions (\"why is this feature underperforming?\") into precise, answerable analyses\r\nConduct deep-dive analyses including funnel analysis, cohort analysis, and root cause investigations to surface product insights\r\nOwn data quality end-to-end, including dbt tests, validation, documentation, and monitoring across all models\r\nOptimize query performance and warehouse costs in Snowflake through efficient modeling patterns, materialization strategies, and resource monitoring\r\nEstablish and enforce data governance standards, including naming conventions, documentation requirements, and consistent metric definitions to maintain a single source of truth\r\nContribute to the evolution of the data platform by evaluating new tools, technologies, and best practices\r\nYOU BRING (Qualifications)\r\nTechnical Foundation\r\n5+ years of experience in analytics engineering, data analytics, or a related data role with demonstrated technical expertise\r\nStrong SQL proficiency with experience writing complex queries for data transformation, analysis, and performance optimization\r\nHands-on experience with dbt (dbt Core or dbt Cloud), including model design, testing, documentation, and deployment workflows\r\nExperience working with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks)\r\nSolid understanding of data modeling concepts, including dimensional modeling, slowly changing dimensions, and star/snowflake schemas\r\nProficiency with data visualization and BI tools, preferably Sigma, with the ability to create compelling dashboards and reports for diverse audiences\r\nUnderstanding of software engineering fundamentals: version control (Git), testing, code review, and CI/CD practices\r\nComfort working with semi-structured data (JSON, nested structures)\r\nBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience\r\nAnalytical Mindset\r\nExperience building metrics frameworks and defining KPIs that drive product and business decisions\r\nTrack record of error analysis and root cause investigation on product and data quality issues\r\nAbility to work backwards from business questions to data requirements\r\nHealthy skepticism about data quality and metric definitions—you ask \"should we trust this number?\" before building on it\r\nProduct Orientation\r\nGenuine curiosity about how products work and why users behave the way they do\r\nExperience partnering directly with product and engineering teams in a collaborative, cross-functional environment\r\nCommunication skills to make technical findings accessible to non-technical stakeholders\r\nComfort with ambiguity and the ability to iterate toward the right answer rather than waiting for perfect requirements\r\nBONUS POINTS (Preferred Qualifications)\r\nKnowledge of financial services data domains such as lending, compliance, risk management, or regulatory reporting\r\nBackground in high-volume event data, behavioral analytics, or product telemetry systems\r\nExposure to funnel analysis, cohort analysis, or experimentation frameworks (A/B testing)\r\nUnderstanding of software system architectures and how they generate telemetry\r\nEnthusiasm for AI and a habit of using AI tools to accelerate your own work—writing code, automating tasks, exploring data, or prototyping solutions\r\nExperience measuring or evaluating AI-powered product features, including defining success metrics, tracking adoption, or analyzing model performance from a product analytics perspective\r\nFamiliarity with emerging data and workflow patterns, including tracing, observability, and agent-based systems\r\nExperience with Python for data transformation, scripting, or automation tasks\r\nExperience with data observability platforms (Monte Carlo, Elementary, Soda)\r\nKnowledge of compliance frameworks relevant to financial services (SOC 2, GLBA, FFIEC)\r\nExperience implementing data contracts, data mesh, or modern data governance frameworks\r\nExposure to orchestration tools such as Airflow, Dagster, or Prefect\r\ndbt Analytics Engineering Certification or SnowPro certification\r\nFamiliarity with reverse ETL tools (Census, Hightouch) for activating data in operational systems\r\nContributions to open-source data or analytics projects\r\nWE OFFER\r\nA fun, fast-paced work environment\r\nResponsible PTO Plan that meets or exceeds state and local medical and family leave laws\r\n11 paid holidays\r\nCommunity and social events to keep you connected and engaged\r\nMental Health Benefits\r\nMedical, Dental and Vision insurance\r\nCompany-paid Group Life Insurance, Short- and Long-Term Disability\r\nFlexible Spending Account & Health Savings Account\r\nAflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice\r\nPet Insurance\r\n401 (k) with company match with eligibility on Day 1 of employment\r\n2 Paid Volunteer Time Off Days\r\nAnd much more!\r\nAAP/EEO Statement\r\nNcontracts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\r\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.\r\nOther Duties\r\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:37:27.524Z","dateModified":"2026-04-09T15:37:27.524Z","hiringOrganization":{"@type":"Organization","name":"Ncontracts","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Franklin","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8caff4896ba6d36d055bb604"},"url":"https://jobsearcher.com/jobs/8caff4896ba6d36d055bb604"}}