Lead Analytics Engineer Jobs

2 jobs found

Today

Lead Analytics Engineer

Lennar Miami, FL

Miami, FL

Today

Full time Manager Artificial Intelligence Big Data

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Job Description

Own and execute the analytics roadmap for Lennar’s 3rd Party data strategy while leading enterprise analytics engineering.

Responsibilities

Oversee the analytics function for Lennar’s 3rd Party Data, defining strategic direction and setting priorities
Lead development and execution of the department’s data strategy
Drive innovation in data engineering and analysis practices by monitoring industry trends and emerging technologies
Partner across departments to ensure purchased data supports stakeholder needs and delivers business value
Serve as the primary liaison between the data product team and senior leadership
Lead initiatives that improve data infrastructure and organizational data processes
Ensure compliance with data governance and security policies

Requirements

Bachelor’s degree in a related field; Master’s degree preferred
8+ years of experience in analytics engineering, including a record of leading successful projects
Strong leadership skills, including leading teams and setting strategic direction for data initiatives aligned with business objectives
Expertise managing enterprise-level data across big data platforms and cloud data ecosystems, including AWS Redshift and Google BigQuery
Proficiency designing and implementing data strategies aligned with organizational goals
Mastery of SQL, including database management, optimization, and complex ETL processes
Expertise in Python or R for advanced analytics, including deep learning and AI, with experience deploying models in production environments
Experience leading enterprise-wide dashboards and reporting solutions with focus on user experience and actionable insights
Proficiency using advanced visualization libraries and tools for bespoke analytics solutions
Expertise in data architecture, including scalable infrastructure that integrates multiple sources such as APIs, data lakes, and warehouses
Proficiency leading data integration projects to ensure seamless data flow across systems
Deep understanding of data governance frameworks, data stewardship, and data management best practices
2+ years experience leading data projects, managing timelines, resources, and stakeholder expectations
Proven ability to integrate new technologies and methodologies into existing frameworks
Knowledge of common use cases such as dynamic pricing, prediction, and supply chain optimization
Exceptional ability to influence and engage senior leaders with data-driven insights
Proven skill in resolving complex, high-stakes problems with innovative solutions
Demonstrated collaboration, mentoring, and fostering continuous learning and innovation
Ability to keep abreast of emerging trends in data science, AI, and big data technologies
Behavioral competencies: integrity and ethical behavior, resilience during adversity, accountability, and acting as a change agent
Capability to coordinate efforts across multiple departments to ensure alignment with organizational goals
Provides visionary leadership and develops future leaders within the organization
Primarily a sedentary office position; must be able to operate computer equipment and perform physical tasks including speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs; finger dexterity required

Technologies

SQL
Python
R
Deep learning
AI
AWS Redshift
Google BigQuery
APIs
Data lakes
Warehouses

Benefits

Health insurance plans (Medical, Dental, Vision)
401(k) Retirement Plan with $1 for $1 Company Match up to 5%
Paid Parental Leave
Associate Assistance Plan
Education Assistance Program
Up to $30,000 in Adoption Assistance
Vacation (up to three weeks annually)
Holiday
Sick Leave
Personal Day policies
New Hire Referral Bonus Program
Home Purchase Discounts

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11d ago

Senior Analytics Engineer

The Inland Real Estate Group of Companies Oak Brook, IL

Oak Brook, IL

11d ago

$127k - $165k/yr Full time Senior Analytics Azure Data Engineer

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Job Description

The Senior Analytics Engineer will join Inland’s Enterprise Analytics team in Oak Brook, IL (onsite), leading analytics strategy and the Atlas Data Foundation Program. The role focuses on governed, AI-ready analytics through scalable data pipelines, semantic models, certified datasets, and enterprise reporting built with Microsoft and Azure technologies.

Location and Compensation

Location: Oak Brook, IL (onsite)

Annual Base Salary: USD 126,580 - 164,554

This position is eligible to participate in the company’s annual discretionary bonus program.

Key Responsibilities

Act as a lead analytics partner for the Atlas Data Foundation Program, translating governed data domains into trusted reporting assets.
Collaborate with stakeholders across investment management, finance, asset management, property management, leasing, and investor relations to define and measure key business outcomes.
Contribute to Inland’s Enterprise Analytics roadmap by evaluating data sources, APIs, and emerging technologies.
Participate in architecture reviews, platform decisions, system migrations, and enterprise-wide data initiatives.
Design, develop, and maintain scalable data ingestion pipelines into a centralized enterprise reporting environment.
Build and support integrations with internal applications and third-party data providers using REST and SOAP APIs.
Create and optimize dimensional data models, semantic layers, and enterprise reporting structures.
Develop ETL/ELT processes and maintain data reliability through monitoring, troubleshooting, and performance optimization.
Work extensively within the Microsoft and Azure ecosystem, including Microsoft Fabric, OneLake, Azure Data Factory, Azure Synapse, and Azure Storage.
Design and manage enterprise dashboards and visualizations to support business insights.
Establish reporting standards and best practices across the organization.
Support self-service analytics through certified datasets, reusable templates, governance controls, and user enablement.
Prepare enterprise data models for AI-driven analytics and natural language querying.
Support and enhance conversational analytics initiatives, including Copilot in Power BI.
Automate recurring reporting processes, investor reporting workflows, and data validation activities.
Explore predictive analytics and machine learning opportunities, including forecasting and revenue optimization models.

Required Qualifications

Education: Bachelor’s degree
Required degree area: Computer Science, Engineering, Mathematics, Physics, Finance, Economics, or a related discipline
Advanced Power BI and data visualization expertise.
Strong SQL and T-SQL development skills.
Dimensional modeling, semantic layer design, and enterprise data warehousing experience.
Experience developing REST and SOAP API integrations.
Experience with Azure Data Factory, Azure Synapse, Azure Storage, ETL/ELT pipeline design, and orchestration.
Knowledge of data governance, stewardship, quality, and information security practices.
Practical experience with Microsoft Copilot and AI-enabled analytics solutions.
8+ years of progressive experience in business intelligence, analytics engineering, data engineering, or related disciplines.
4+ years of hands-on Power BI experience, including semantic modeling, advanced DAX, and workspace administration.
3+ years of experience in commercial real estate, investments, private equity, financial services, or related industries.
2+ years of experience developing and maintaining API-based integrations and cloud data pipelines.

Technologies

Microsoft Fabric
OneLake
Azure Data Factory
Azure Synapse
Azure Storage
Power BI
DAX
REST
SOAP
Microsoft Copilot
ETL/ELT
Copilot in Power BI

Preferred Qualifications

Microsoft Fabric, OneLake, Lakehouse, Direct Lake, and Fabric administration.
Python for data engineering, analytics, and machine learning.
Snowflake or Databricks experience.
Tableau experience.
Data catalog and governance platforms such as Microsoft Purview or OvalEdge.
Power Automate, Copilot Studio, or workflow automation platforms.
Git, Azure DevOps, and analytics deployment pipelines.
Master data management and entity resolution.
Experience with DealCloud, Yardi, Salesforce, or HubSpot.

Benefits

Medical/Dental/Vision insurance (PPO)
Participation in the company 401(k) plan with a company match
Vacation Time, Nine Paid Holidays, Three floating holidays per year
Sick time
Tuition reimbursement opportunity
Company-paid life insurance equaling your annual base salary
Company-paid short-term and long-term disability
Paid Parental Leave

Equal Employment Opportunity and Hiring Process

We are a drug-free workplace. Pre-employment background checks and drug screening are conducted for all new hires in accordance with applicable laws and regulations.
Inland is committed to equal employment opportunity and considers applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial status, marital status, veteran status, disability, or any other status protected by applicable law.
If you require a reasonable accommodation or an alternative method of assessment during any stage of the recruiting process, please contact our Talent Acquisition team at recruiting@inlandgroup.com.

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