Analytics Engineer

SBA Communications; Boca Raton (FL); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k) match

Equity plans

Medical insurance

Parental leave

Life insurance

Disability insurance

Wellness programs

Paid time off

Flexible work arrangements

Education assistance

Job summary

SBA Communications seeks an Analytics Engineer to bridge data engineering and analytics, enriching data sources and building semantic models for self-service insights.

You will design and optimize pipelines for Fabric, Power BI, and Azure, ensure data quality and governance, and enable AI-ready data products with clear lineage.

Ideal candidates have 3+ years in analytics engineering, strong SQL/DAX, and experience with modern data architectures and BI tooling.

Qualifications

• Bachelor’s or Master’s degree in a data-related field or equivalent experience.
• 3+ years in analytics engineering, data modeling, or BI development.
• Strong SQL, DAX, Power BI proficiency; experience with semantic models and dataflows.

Responsibilities

• Design, build, and maintain semantic models and datasets for self-service analytics and AI consumption.
• Develop and optimize data pipelines for Fabric, Power BI, Azure, and Databricks.
• Collaborate with stakeholders to ensure usability, accuracy, and compliance standards.
• Implement and manage row-level security (RLS) within semantic models.
• Develop testing and validation strategies for data transformations and outputs.
• Apply modular design, version control, and documentation to analytics workflows.
• Document business logic, data transformations, and model structures with metadata catalogs.
• Design automated data workflows and orchestration for model deployment and data availability.
• Coordinate with contractors and teams to align on data architecture and timelines.
• Promote self-service analytics by making data products intuitive and well documented.
• Other duties as required

Skills

SQL

DAX

Power BI

Microsoft Fabric

Data governance

RLS

CI/CD

Git

dbt

Data orchestration

Education

Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, a related field

Tools

Azure Data Factory

dbt

Git

Job description

Since 1989, SBA Communications has been a pillar of the wireless industry. Today, as a publicly traded global leader and S&P 500 company, our network of over 46,000 communication sites spans 10+ countries, forming the critical infrastructure that connects millions. We are the force behind the scenes —the essential infrastructure that keeps our world connected.

We are looking for innovators to join the dynamic team that makes it all possible. In an industry that moves fast, we rely on our agility to stay ahead of the curve and deliver results. However, we never achieve it alone. Our culture is defined by a "Team First" focus, where every team member matters, and we collaborate passionately to support our customers' objectives.

We believe in shared success. At SBA, we invite every team member to think like an owner.

In addition to a competitive salary range, we offer a comprehensive benefits package to support your health, financial security, and overall well-being.

Financial Wellbeing

• 401(k) retirement savings plan with a company match of a percentage of employee contributions and profit sharing, where applicable
• Equity opportunities, including participation in company equity stock plans, where applicable

Health and Mental Wellbeing

• Medical, dental, and vision insurance with employer contributions toward coverage
• Paid parental leave and company-paid life insurance and short-term and long-term disability (STD/LTD), where eligible
• Wellness programs and resources, including an employee assistance program and well-being initiatives

Personal Growth & Balance

• Paid time off and company-paid holidays
• Flexible work arrangements, including an allotment of remote workdays per year, depending on the role
• Education assistance and professional development and certification or licensing support, where eligible
• Performance-based bonus or incentive compensation, which may be available depending on the role

Benefit offerings are subject to plan terms, eligibility requirements, and applicable law, and may vary based on factors such as employment status, job classification, work location, and scheduled hours. Certain benefits may not be available to part-time employees or employees working fewer than 30 hours per week. The company reserves the right to modify or terminate benefit plans at any time, consistent with applicable law.

If you’re ready to make an impact with a stable industry leader, we want to hear from you.

Your Next Career Opportunity - Analytics Engineer - Data Analytics Center of Excellence

The Analytics Engineer bridges the gap between data engineering and analytics by enriching available data sources, enabling new data products, building semantic models, and improving infrastructure to support scalable and governed analytics solutions. This role is critical in enabling self-service analytics and ensuring data quality and accessibility across SBA. The ideal candidate excels at translating complex business logic into enriched, reusable data products that empower business users to explore and analyze data independently, driving consistency and insight across the organization. This role is part of a collaborative, mission-driven team focused on elevating data maturity and enabling enterprise-wide analytics excellence. It also plays a foundational role in preparing enterprise data assets for consumption by AI and machine learning solutions, ensuring data is structured, enriched, and optimized for intelligent applications.

What You Will Do - Primary Responsibilities

• Design, build, and maintain robust semantic models and curated datasets that translate business logic into reusable, governed data products for self-service analytics and AI consumption.
• Develop and optimize data pipelines and dataflows to support scalable and performant analytics solutions across Microsoft Fabric, Power BI, Azure, and Databricks, with an emphasis on preparing clean, structured data for AI Agentic workflows.
• Collaborate with citizen developers and business stakeholders to understand analytical requirements and ensure semantic models and data products meet usability, accuracy, and compliance standards.
• Implement and manage row-level security (RLS) within semantic models to ensure appropriate data access and compliance with organizational policies.
• Develop and execute testing and validation strategies to ensure the accuracy, reliability, and consistency of data transformations and analytics outputs.
• Apply engineering best practices such as modular design, version control, and code documentation to analytics workflows.
• Document business logic, data transformations, and model structures in technical documentation, data dictionaries, and metadata catalogs, ensuring data lineage and feature clarity to support generative AI and predictive modeling initiatives.
• Design and implement automated data workflows and orchestration strategies to streamline model deployment, ensure timely data availability, and support scalable analytics operations.
• Support coordination with contractors and internal teams to align on data architecture, modeling standards, and delivery timelines.
• Promote adoption of self-service analytics tools by enabling business users and ensuring data products are intuitive, well documented, and aligned with user needs.
• Other duties as required

What You’ll Need - Qualifications & Requirements

• Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, a related field, or equivalent experience.
• Minimum of 3 years of experience in analytics engineering, data modeling, or business intelligence development.
• Advanced proficiency in SQL, DAX, and Power BI, with demonstrated experience building and optimizing semantic models and dataflows.
• Hands-on experience with Microsoft Fabric and modern data architecture principles.
• Strong understanding of data governance, row-level security (RLS), and metadata management.
• Familiarity with CI/CD pipelines, version control systems (e.g., Git), and data orchestration tools (e.g., Azure Data Factory, dbt, or similar).
• Proven ability to translate complex business logic into scalable, reusable data products.
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.

Physical Demands

• Ability to stoop, bend, kneel or crouch.
• Ability to stand, walk and sit.
• Ability to reach with hands and arms.
• Visual ability correctable to 20/20.
• Sitting up to 90% of the day.
• Ability to respond verbally in an understandable, professional manner in person and over the telephone.
• Manual dexterity to input data into the computer and the calculator and operate the equipment listed above.
• Ability to lift up to 15 pounds.

Work Environment

• Office/ Cubicle workspace.
• Moderate noise level.