Analytics EngineerHybrid
OverviewSeeking 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.