{"schemaVersion":"jobsearcher.job.v1","id":"56f2e0b5dd57cbb0f71fa0c3","url":"https://jobsearcher.com/jobs/56f2e0b5dd57cbb0f71fa0c3","canonicalUrl":"https://jobsearcher.com/jobs/56f2e0b5dd57cbb0f71fa0c3","title":"Data Analytics Engineer - Senior Associate","description":"JOB DESCRIPTION\n\nJPMorganChase's Commercial and Investment Bank Finance and Business Management team is looking for a strategic, analytical, and energetic professional to support the team and partner with the business and help achieve their goals.\n\nAs a Data Analytics Engineer - Senior Associate within the Commercial and Investment Bank Finance and Business Management team, you will build analytics-ready data models and a trusted semantic layer that standardizes business metrics. You will partner with stakeholders to translate requirements into well-modeled datasets in Databricks/Snowflake, using SQL (primary) , Python, ETL, and strong data modeling + semantic layer practices. This role is geared toward analytics enablement: designing curated data products, defining consistent metrics, and enabling scalable self-service reporting. You'll work closely with analytics, product, and engineering partners to turn business questions into governed, reusable models and semantic definitions. You will own the structure and usability of downstream analytics - defining grains, dimensions, facts, conformed entities, and metric logic - so teams can move faster with confidence. You will also collaborate with upstream data engineering to ensure source-to-model alignment and ensure data quality and documentation meet a high bar. The successful candidate will bring consistent KPI definitions across dashboards, clear semantic conventions, performant and well-documented models, and a data ecosystem where consumers trust and reuse what's been built.\n\nJob Responsibilities\n\nLead development of analytics data models (dimensional and/or domain-oriented) optimized for reporting, BI, and self-service consumption.\nDesign and maintain a semantic layer (standardized metrics, dimensions, entities, and business definitions) to ensure consistency across dashboards and analyses.\nTranslate stakeholder requirements into clear modeling deliverables (entities, grains, metric definitions, acceptance criteria).\nBuild transformations primarily in SQL, leveraging Python when needed for complex logic, automation, or validation.\nImplement and champion data quality controls (tests, reconciliations, anomaly checks) tied to business-critical metrics.\nOptimize model performance in Snowflake and/or Databricks (efficient joins, partitioning/clustering strategies where applicable, cost/performance trade-offs) and collaborate with upstream teams on source system understanding (including NoSQL/semi-structured data) and ensure analytics models reflect correct business meaning.\nEstablish modeling standards: naming conventions, documentation, lineage, metric governance, and change management for semantic definitions and support enablement: document curated datasets, create user guidance, and help consumers adopt the semantic layer correctly.\n\nRequired qualifications, capabilities and skills\n\n3+ years of experience as an Analytics Engineer or related role with Master's degree in Information Technology, Computer Science, Management Information Systems, Operations Research or related field.\nAdvanced SQL skills (complex joins, performance tuning, incremental logic).\nStrong understanding of data modeling (facts/dimensions, grains, conformed dimensions, SCDs, metric design).\nDemonstrated experience building or operating a semantic layer / metrics framework (tool-agnostic; ability to standardize KPI logic and definitions).\nComfort working with semi-structured data (JSON) and NoSQL sources and modeling them for analytics.\nExposure to data governance concepts (RBAC, data classification, lineage, audit requirements).\nWorking experience with Snowflake and/or Databricks in an analytics context.\nPractical Python skills for data workflows (validation, automation, notebooks/scripts).\nAbility to partner with stakeholders, clarify ambiguous requirements, and drive to measurable outcomes.\nStrong documentation habits and attention to data correctness.\nPreferred qualifications, capabilities and skills\nExperience with testing and documentation.\nFamiliarity with BI tooling and semantic consumption patterns (e.g., Tableau/Sigma/Looker concepts).\n\nKnowledge of orchestration and observability (Airflow/Dagster/ADF; logging/alerting; SLA mindset).\n\nABOUT US\n\nJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n\nWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.\n\nWe recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.\n\nJPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans\n\nABOUT THE TEAM\n\nJ.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.","company":"Jpmorganchase2","rawCompany":"jpmorganchase2","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-29T11:49:37.468Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer - Senior Associate","description":"JOB DESCRIPTION\n\nJPMorganChase's Commercial and Investment Bank Finance and Business Management team is looking for a strategic, analytical, and energetic professional to support the team and partner with the business and help achieve their goals.\n\nAs a Data Analytics Engineer - Senior Associate within the Commercial and Investment Bank Finance and Business Management team, you will build analytics-ready data models and a trusted semantic layer that standardizes business metrics. You will partner with stakeholders to translate requirements into well-modeled datasets in Databricks/Snowflake, using SQL (primary) , Python, ETL, and strong data modeling + semantic layer practices. This role is geared toward analytics enablement: designing curated data products, defining consistent metrics, and enabling scalable self-service reporting. You'll work closely with analytics, product, and engineering partners to turn business questions into governed, reusable models and semantic definitions. You will own the structure and usability of downstream analytics - defining grains, dimensions, facts, conformed entities, and metric logic - so teams can move faster with confidence. You will also collaborate with upstream data engineering to ensure source-to-model alignment and ensure data quality and documentation meet a high bar. The successful candidate will bring consistent KPI definitions across dashboards, clear semantic conventions, performant and well-documented models, and a data ecosystem where consumers trust and reuse what's been built.\n\nJob Responsibilities\n\nLead development of analytics data models (dimensional and/or domain-oriented) optimized for reporting, BI, and self-service consumption.\nDesign and maintain a semantic layer (standardized metrics, dimensions, entities, and business definitions) to ensure consistency across dashboards and analyses.\nTranslate stakeholder requirements into clear modeling deliverables (entities, grains, metric definitions, acceptance criteria).\nBuild transformations primarily in SQL, leveraging Python when needed for complex logic, automation, or validation.\nImplement and champion data quality controls (tests, reconciliations, anomaly checks) tied to business-critical metrics.\nOptimize model performance in Snowflake and/or Databricks (efficient joins, partitioning/clustering strategies where applicable, cost/performance trade-offs) and collaborate with upstream teams on source system understanding (including NoSQL/semi-structured data) and ensure analytics models reflect correct business meaning.\nEstablish modeling standards: naming conventions, documentation, lineage, metric governance, and change management for semantic definitions and support enablement: document curated datasets, create user guidance, and help consumers adopt the semantic layer correctly.\n\nRequired qualifications, capabilities and skills\n\n3+ years of experience as an Analytics Engineer or related role with Master's degree in Information Technology, Computer Science, Management Information Systems, Operations Research or related field.\nAdvanced SQL skills (complex joins, performance tuning, incremental logic).\nStrong understanding of data modeling (facts/dimensions, grains, conformed dimensions, SCDs, metric design).\nDemonstrated experience building or operating a semantic layer / metrics framework (tool-agnostic; ability to standardize KPI logic and definitions).\nComfort working with semi-structured data (JSON) and NoSQL sources and modeling them for analytics.\nExposure to data governance concepts (RBAC, data classification, lineage, audit requirements).\nWorking experience with Snowflake and/or Databricks in an analytics context.\nPractical Python skills for data workflows (validation, automation, notebooks/scripts).\nAbility to partner with stakeholders, clarify ambiguous requirements, and drive to measurable outcomes.\nStrong documentation habits and attention to data correctness.\nPreferred qualifications, capabilities and skills\nExperience with testing and documentation.\nFamiliarity with BI tooling and semantic consumption patterns (e.g., Tableau/Sigma/Looker concepts).\n\nKnowledge of orchestration and observability (Airflow/Dagster/ADF; logging/alerting; SLA mindset).\n\nABOUT US\n\nJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n\nWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.\n\nWe recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.\n\nJPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans\n\nABOUT THE TEAM\n\nJ.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.","datePosted":"2026-07-29T11:49:37.468Z","dateModified":"2026-07-29T11:49:37.468Z","hiringOrganization":{"@type":"Organization","name":"Jpmorganchase2","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"56f2e0b5dd57cbb0f71fa0c3"},"url":"https://jobsearcher.com/jobs/56f2e0b5dd57cbb0f71fa0c3"}}