Analytics Engineer

LHH

Brookfield, WI, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$100,000.0 - $120,000.0

Working hours

Regular working hours

Job source

www.lhh.com

Tech stack

Artificial Intelligence Microsoft Azure Data Architecture Data Governance Data Integration Extract Transform Load (ETL) Data Transformation Database Queries Dimensional Modeling Python (Programming Language) Meta-Data Management Microsoft Software

+15 more

Performance Tuning Power BI Cloud Services Workflow Management Systems Enterprise Data Management Scripting Microsoft Power Automate Azure Data Factory Microsoft Fabric Data Analytics Data Management Data Pipelines Api Management Serverless Computing Powerapps

Job description

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.

Requirements

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., * 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.