Analytics Engineer

The 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. Success in this role requires strong technical depth, a product mindset, and close partnership with engineering, BI, analytics, and business stakeholders., * Own the design, development, and maintenance of MART-layer foundational and business data products built from curated enterprise data.

• Translate business requirements into reusable data products, metrics, and transformation logic that support consistent consumption across teams and platforms.
• Build and maintain semantic models with rich metadata, business definitions, and synonyms to enable trusted self-service analytics and AI consumption.
• Develop models that support multiple consumption patterns, including dashboards, reports, AI agents, APIs, file delivery, and operational system integrations.
• Apply complex business logic in a governed, version-controlled manner using modern transformation tooling and software engineering best practices.
• Partner with data engineers, BI engineers, analysts, architects, and business stakeholders to define product intent, validate logic, and prioritize enhancements.
• Ensure data product quality through testing, monitoring, reconciliation, and issue resolution across upstream data, transformations, and downstream consumption.
• Document data products, semantic models, lineage, and usage guidance to improve transparency, stewardship, and user adoption.
• Support governed access patterns through metadata, role-based access considerations, and alignment with enterprise data governance standards.
• Continuously improve MART-layer patterns, semantic model design, and consumer enablement based on platform evolution and business needs., For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability.

• Strong experience building analytics-ready data models and reusable business logic in modern cloud data platforms such as Snowflake.
• Hands-on expertise with DBT or similar transformation frameworks, including modular modeling, testing, documentation, and version control.
• Proven ability to design and maintain semantic models, metrics, dimensions, and business definitions for consistent downstream consumption.
• Strong SQL skills and experience optimizing transformation logic for performance, scalability, and maintainability.
• Experience supporting multiple data consumption patterns, including BI dashboards, AI use cases, reporting, APIs, file delivery, and operational integrations.
• Understanding of data governance, metadata, lineage, role-based access, and quality controls in enterprise data platforms.
• Ability to partner effectively with cross-functional stakeholders to translate business needs into scalable, trusted data products.
• Strong written and verbal communication skills with the ability to document logic, definitions, assumptions, and usage guidance clearly., * Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in analytics engineering, data engineering, BI engineering, or a closely related data role.
• Experience building governed data models and data products in enterprise environments with multiple downstream consumers.
• Demonstrated experience applying software engineering best practices to analytics workflows, including Git-based development, testing, and deployment discipline.
• Experience working with modern BI and semantic technologies such as Power BI, Snowflake semantic capabilities, or similar platforms is preferred.
• Familiarity with metadata/catalog platforms, lineage tooling, and enterprise documentation practices is preferred.
• Experience in financial services, wealth management, or other regulated industries is a plus.
• Demonstrated ability to work independently, manage priorities, and take ownership of data products from design through ongoing support., Access Control, Americans with Disabilities Act (ADA), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Business Intelligence, Business Services, Communication Skills, Computer Science, Continuous Improvement, Cross-Functional, Customer Acquisition, Data Analysis, Data Modeling, Documentation, Establish Priorities, Fiduciary, Financial Services, Git, Information Technology & Information Systems, Legal, Machine Tool, Metadata, Metrics, Multiplatform/Cross-Platform, Performance Tuning/Optimization, Personal Injury, Philosophy, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Product Design, Product Documentation, Product Testing, Reconciliation, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Software Engineering, Stewardship, System Integration (SI), Test Plan/Schedule, Transformation Tools, Use Cases, Wealth Management, Workflow Analysis, Writing Skills

This position is an exempt position. The annualized base pay range for this role is expected to be between $90,000 - $110,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed and the applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other reward may include an annual cash bonus and a comprehensive benefits package.

Focus is a leading financial services firm comprised of integrated wealth management, family office, and business management services. Blending deep expertise and expansive resources with a boutique, client-first fiduciary philosophy, Focus helps individuals, families, and institutions navigate complex financial situations with highly personalized solutions tailored to their unique needs. To learn more about Focus, visit www.focusfinancialpartners.com or follow the company on LinkedIn.