Data Analytics Engineer

Bayview Fund Management, LLC; Coral Gables (FL); Hybrid; USD 118,000 - 130,000; Full time

Job summary

Lakeview Household Insurance Solutions (LHIS) is seeking a Data Analytics Engineer to design and maintain analytical structures and semantic models that support trusted BI across LHIS. The role partners with Sales, Marketing, Operations, Technology, and Data Engineering to ensure reliable reporting from data collection to KPI delivery.

Responsibilities include building semantic models in Microsoft Fabric, defining KPI calculations, and enhancing data quality and governance for enterprise

Qualifications

• Regular sitting and use of hands in a moderately noisy environment.
• Occasional standing, walking, and reaching; lifting up to 10 pounds.
• Dedicated home workspace and a reliable internet connection with min speeds.

Responsibilities

• Design and maintain semantic models within Microsoft Fabric for enterprise reporting.
• Develop analytical datasets and business logic to support reporting and KPI delivery.
• Translate operational processes into scalable analytical models.
• Collaborate with Data Engineering to ensure properly structured source data.
• Define KPI calculations and validate outputs against requirements.
• Support dashboard development and data quality controls.

Skills

Data governance

Semantic modeling

Microsoft Fabric

KPI calculations

Data quality

Dimensional modeling

Analytical datasets

Business intelligence

Job description

Overview

Lakeview Household Insurance Solutions (LHIS) is the insurance brokerage arm of Lakeview Loan Servicing, offering P&C personal lines of insurance to approximately 3 million mortgage customers serviced by Lakeview Loan Servicing. The pay range for this position is $118,000-$130,000

The Data Analytics Engineer is responsible for designing and maintaining the analytical data structures, semantic models, reporting datasets, and data governance processes that support trusted business intelligence across LHIS. Working within the Business Intelligence function, this role serves as a key owner of data quality, analytical architecture, and reporting enablement across multiple business domains.

The Data Analytics Engineer partners closely with Sales, Marketing, Operations, Technology, and Data Engineering to ensure operational processes are structured to support accurate reporting, while developing and maintaining analytical models within Microsoft Fabric. Particular emphasis is placed on sales and customer lifecycle data, ensuring operational systems produce reliable and analytically useful information from the point of collection through final reporting and KPI delivery.

Responsibilities

Data Governance & Process Design

• Partner with business leaders to ensure operational processes capture accurate, complete, and reportable data.
• Recommend improvements to workflows, field structures, stage definitions, and business processes to improve reporting accuracy and data quality.
• Establish and maintain standards for data governance, field usage, and business definitions.
• Identify gaps in data collection and implement solutions that improve analytical visibility.
• Audit operational data and system usage to ensure consistency across departments.
• Serve as the primary analytical stakeholder for business process and data structure decisions, ensuring changes to operational systems support both business execution and future reporting requirements.

Analytics Architecture & Semantic Modeling

• Design and maintain semantic models within Microsoft Fabric to support enterprise reporting and analytics.
• Develop analytical datasets and business logic required for reporting and performance measurement.
• Translate operational business processes into scalable analytical models.
• Apply dimensional modeling principles, including Kimball methodologies, fact tables, and dimension tables, to support reporting, dashboarding, and future analytical initiatives.
• Partner with Data Engineering to ensure source data is available and properly structured for analytical consumption.
• Support the ongoing development and enhancement of the Business Intelligence layer and contribute to scalable reporting frameworks capable of supporting future organizational growth.

Reporting, Business Intelligence & Data Quality

• Define, document, and maintain KPI calculations and business metric definitions.
• Validate reporting outputs against operational expectations and business requirements.
• Support dashboard development and ad hoc analytical initiatives for Sales, Marketing, and Operations.
• Develop reconciliation processes and data quality controls, including monitoring, validation, and issue resolution, to improve trust in reporting.
• Collaborate with stakeholders to ensure reporting solutions support business objectives and improve data capture outcomes.
• Identify opportunities for advanced analytics as organizational data maturity increases.

Qualifications

The job requires regular sitting and use of hands for handling objects, tools, or controls, with frequent talking and listening in a moderately noisy environment. There will be occasional standing, walking, and reaching with hands and arms, with rare instances of stooping, kneeling, crouching, or crawling. Lifting and moving objects up to 10 pounds is a regular part of the role. Specific vision abilities such as close vision, color vision, and the ability to adjust focus are necessary.

Additionally, the employee must connect to the internet via a direct Ethernet connection, maintain a dedicated workspace to safeguard customer information, and have an internet connection with a minimum download speed of 50 Mbps and a minimum upload speed of 10 Mbps. If using shared internet, prioritizing the connection for work purposes is strongly recommended, with the preference for a dedicated connection solely for work-related tasks.

EEOC

Lakeview Household Insurance Solutions is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

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