Analytics Engineer

Job not on LinkedIn

November 13

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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SBA Communications

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Telecommunications

SBA Communications is a leading provider of wireless communications infrastructure. The company specializes in developing, leasing, and managing communications infrastructure, including towers, small cells, and distributed antenna systems. They operate in various markets including the United States, Central and South America, and Africa. SBA Communications provides services to both private and public networks, catering to property owners and investors with site development, construction, and leasing services. Their business model supports connectivity solutions that enhance public safety and network accessibility.

1001 - 5000 employees

Founded 1983

📡 Telecommunications

💰 Private Equity Round on 1997-01

📋 Description

• 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. • 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. • Design and implement automated data workflows and orchestration strategies to streamline model deployment and ensure timely data availability. • 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.

🎯 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.

🏖️ Benefits

• Competitive benefits and compensation package