{"schemaVersion":"jobsearcher.job.v1","id":"922c43c3f08194588457a9da","url":"https://jobsearcher.com/jobs/922c43c3f08194588457a9da","canonicalUrl":"https://jobsearcher.com/jobs/922c43c3f08194588457a9da","title":"Analytics Engineer","description":"OpenKyber is a global technology consulting, talent acquisition and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for an Analytics Engineer. Please see the job description below for your reference.\r\nRole: Analytics Engineer\r\nLocation: St. Louis (Onsite)\r\nPosition Summary\r\nThe Analytics Engineer is responsible for owning the design, build, and ongoing maintenance of data products in the MART layer of the firm's data platform. This role creates and evolves foundational and business data products from governed underlying data, applying reusable business logic, documentation, testing, and access controls so data can be consumed consistently across the enterprise. The ideal candidate also authors and maintains semantic models that make trusted data easier to use for AI experiences, dashboards, reporting, and downstream integrations into operational platforms.\r\nPrimary Responsibilities Own the design, development, and maintenance of MART-layer foundational and business data products built from curated enterprise data.\r\nTranslate business requirements into reusable data products, metrics, and transformation logic that support consistent consumption across teams and platforms.\r\nBuild and maintain semantic models with rich metadata, business definitions, and synonyms to enable trusted self-service analytics and AI consumption.\r\nDevelop models that support multiple consumption patterns, including dashboards, reports, AI agents, APIs, file delivery, and operational system integrations.\r\nApply complex business logic in a governed, version-controlled manner using modern transformation tooling and software engineering best practices.\r\nPartner with data engineers, BI engineers, analysts, architects, and business stakeholders to define product intent, validate logic, and prioritize enhancements.\r\nEnsure data product quality through testing, monitoring, reconciliation, and issue resolution across upstream data, transformations, and downstream consumption.\r\nDocument data products, semantic models, lineage, and usage guidance to improve transparency, stewardship, and user adoption.\r\nSupport governed access patterns through metadata, role-based access considerations, and alignment with enterprise data governance standards.\r\nContinuously improve MART-layer patterns, semantic model design, and consumer enablement based on platform evolution and business needs.\r\nRequired Skills Strong experience building analytics-ready data models and reusable business logic in modern cloud data platforms such as Snowflake.\r\nHands-on expertise with dbt or similar transformation frameworks, including modular modeling, testing, documentation, and version control.\r\nProven ability to design and maintain semantic models, metrics, dimensions, and business definitions for consistent downstream consumption.\r\nStrong SQL skills and experience optimizing transformation logic for performance, scalability, and maintainability.\r\nExperience supporting multiple data consumption patterns, including BI dashboards, AI use cases, reporting, APIs, file delivery, and operational integrations.\r\nUnderstanding of data governance, metadata, lineage, role-based access, and quality controls in enterprise data platforms.\r\nAbility to partner effectively with cross-functional stakeholders to translate business needs into scalable, trusted data products.\r\nStrong written and verbal communication skills with the ability to document logic, definitions, assumptions, and usage guidance clearly.\r\nQualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.\r\n5+ years of experience in analytics engineering, data engineering, BI engineering, or a closely related data role.\r\nExperience building governed data models and data products in enterprise environments with multiple downstream consumers.\r\nDemonstrated experience applying software engineering best practices to analytics workflows, including Git-based development, testing, and deployment discipline.\r\nExperience working with modern BI and semantic technologies such as Power BI, Snowflake semantic capabilities, or similar platforms is preferred.\r\nFamiliarity with metadata/catalog platforms, lineage tooling, and enterprise documentation practices is preferred.\r\nExperience in financial services, wealth management, or other regulated industries is a plus.\r\nDemonstrated ability to work independently, manage priorities, and take ownership of data products from design through ongoing support.\r\nNote: OpenKyber is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\r\nFor applications and inquiries, contact: hirings@openkyber.com\r\nJ-18808-Ljbffr","company":"Openkyber","rawCompany":"openkyber","city":"Springfield","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-16T02:02:13.715Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","description":"OpenKyber is a global technology consulting, talent acquisition and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for an Analytics Engineer. Please see the job description below for your reference.\r\nRole: Analytics Engineer\r\nLocation: St. Louis (Onsite)\r\nPosition Summary\r\nThe Analytics Engineer is responsible for owning the design, build, and ongoing maintenance of data products in the MART layer of the firm's data platform. This role creates and evolves foundational and business data products from governed underlying data, applying reusable business logic, documentation, testing, and access controls so data can be consumed consistently across the enterprise. The ideal candidate also authors and maintains semantic models that make trusted data easier to use for AI experiences, dashboards, reporting, and downstream integrations into operational platforms.\r\nPrimary Responsibilities Own the design, development, and maintenance of MART-layer foundational and business data products built from curated enterprise data.\r\nTranslate business requirements into reusable data products, metrics, and transformation logic that support consistent consumption across teams and platforms.\r\nBuild and maintain semantic models with rich metadata, business definitions, and synonyms to enable trusted self-service analytics and AI consumption.\r\nDevelop models that support multiple consumption patterns, including dashboards, reports, AI agents, APIs, file delivery, and operational system integrations.\r\nApply complex business logic in a governed, version-controlled manner using modern transformation tooling and software engineering best practices.\r\nPartner with data engineers, BI engineers, analysts, architects, and business stakeholders to define product intent, validate logic, and prioritize enhancements.\r\nEnsure data product quality through testing, monitoring, reconciliation, and issue resolution across upstream data, transformations, and downstream consumption.\r\nDocument data products, semantic models, lineage, and usage guidance to improve transparency, stewardship, and user adoption.\r\nSupport governed access patterns through metadata, role-based access considerations, and alignment with enterprise data governance standards.\r\nContinuously improve MART-layer patterns, semantic model design, and consumer enablement based on platform evolution and business needs.\r\nRequired Skills Strong experience building analytics-ready data models and reusable business logic in modern cloud data platforms such as Snowflake.\r\nHands-on expertise with dbt or similar transformation frameworks, including modular modeling, testing, documentation, and version control.\r\nProven ability to design and maintain semantic models, metrics, dimensions, and business definitions for consistent downstream consumption.\r\nStrong SQL skills and experience optimizing transformation logic for performance, scalability, and maintainability.\r\nExperience supporting multiple data consumption patterns, including BI dashboards, AI use cases, reporting, APIs, file delivery, and operational integrations.\r\nUnderstanding of data governance, metadata, lineage, role-based access, and quality controls in enterprise data platforms.\r\nAbility to partner effectively with cross-functional stakeholders to translate business needs into scalable, trusted data products.\r\nStrong written and verbal communication skills with the ability to document logic, definitions, assumptions, and usage guidance clearly.\r\nQualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.\r\n5+ years of experience in analytics engineering, data engineering, BI engineering, or a closely related data role.\r\nExperience building governed data models and data products in enterprise environments with multiple downstream consumers.\r\nDemonstrated experience applying software engineering best practices to analytics workflows, including Git-based development, testing, and deployment discipline.\r\nExperience working with modern BI and semantic technologies such as Power BI, Snowflake semantic capabilities, or similar platforms is preferred.\r\nFamiliarity with metadata/catalog platforms, lineage tooling, and enterprise documentation practices is preferred.\r\nExperience in financial services, wealth management, or other regulated industries is a plus.\r\nDemonstrated ability to work independently, manage priorities, and take ownership of data products from design through ongoing support.\r\nNote: OpenKyber is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\r\nFor applications and inquiries, contact: hirings@openkyber.com\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T02:02:13.715Z","dateModified":"2026-07-16T02:02:13.715Z","hiringOrganization":{"@type":"Organization","name":"Openkyber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"922c43c3f08194588457a9da"},"url":"https://jobsearcher.com/jobs/922c43c3f08194588457a9da"}}