Analytics Engineer

Analytics Engineer

Hybrid

Overview
Seeking a versatile Analytics Engineer to bridge the gap between data engineering, business intelligence, and analytics. This role will support the full data lifecycle, from ingesting and transforming data to developing analytics-ready models and delivering actionable insights through dashboards and reporting solutions. The ideal candidate is highly collaborative, technically strong, and eager to contribute to enterprise-scale data initiatives.

Key Responsibilities

• Design, build, and maintain analytics-ready datasets, data models, and transformations.

• Develop and support ETL/ELT pipelines, data integrations, and automation workflows within a Microsoft-based cloud environment.

• Create and enhance Power BI dashboards, reports, semantic models, and self-service analytics solutions.

• Partner with technical and business stakeholders to gather requirements and translate them into scalable data solutions.

• Monitor and troubleshoot data pipelines, ensuring reliability, performance, and data quality.

• Support data governance, lineage, documentation, and best practices for enterprise data management.

• Identify opportunities to automate processes and improve reporting efficiency.

• Contribute to the evolution of modern cloud-based data architecture and analytics capabilities.

• Help prepare data foundations for advanced analytics, AI, predictive modeling, and intelligent automation initiatives.

Required Qualifications

• 3-6 years of experience in analytics, business intelligence, analytics engineering, or data-related roles.

• Strong SQL skills with experience in data transformation, querying, and performance optimization.

• Hands-on experience developing reports, dashboards, and data models in Power BI.

• Experience with cloud data platforms and modern data workflows, preferably within Microsoft Azure.

• Knowledge of ETL/ELT processes, data pipelines, and orchestration tools.

• Understanding of dimensional modeling, semantic modeling, and analytics engineering principles.

• Ability to collaborate across technical and business teams and communicate effectively with stakeholders.

• Strong analytical, problem-solving, and process improvement skills.

Preferred Qualifications

• Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or similar cloud data technologies.

• Exposure to data governance, metadata management, lineage, and data quality frameworks.

• Experience with Python, automation scripting, or API integrations.

• Background in financial services, real estate, asset management, or other regulated industries.

• Familiarity with AI-focused Microsoft technologies, including Copilot Studio, Power Automate, Power Apps, and related tools.

• Exposure to predictive analytics and preparing data for AI/ML use cases.

• Experience working in fast-growing, cross-functional environments requiring adaptability and prioritization.

Pay Details: $100,000.00 to $120,000.00 per year

Search managed by: Ryan Mason

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: 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 law shall be subject to criminal penalties and civil liability.