Senior Risk Data Analyst
About The Position
SBA Communications is a global leader in the wireless industry, operating over 46,000 communication sites in more than 10 countries. As a publicly traded S&P 500 company, SBA provides the critical infrastructure that connects millions. The company emphasizes agility, a "Team First" culture, and encourages employees to "think like an owner." They offer a competitive salary and a comprehensive benefits package. This specific role, Senior Data Analyst – Risk Insights & Dashboarding, will lead the development of risk dashboards and insights to support strategic decision-making in controlled processes. The position requires expertise in Power BI, data modeling, risk analytics, and collaboration with IT for data management. A strong background in financial and audit risk is necessary to build meaningful models and communicate data-driven stories.
Requirements
- Bachelor’s or Master’s degree in Data Science, Finance, Accounting, Computer Science, or related field.
- 5+ years of experience in data analytics, preferably in risk, audit, or financial environments.
- Advanced proficiency in Power BI, SQL, and data visualization techniques.
- Strong understanding of financial principles and audit risk frameworks (e.g., SOX, COSO).
- Experience working with IT teams to manage data pipelines and data lake architecture.
- Ability to craft compelling data stories and present insights to technical and non-technical audiences.
- Excellent communication, stakeholder engagement, and project management skills.
Nice To Haves
- Experience with enterprise audit platforms and GRC tools.
- Familiarity with machine learning techniques for risk forecasting.
- Knowledge of regulatory environments and enterprise risk management systems.
Responsibilities
- Design and maintain enterprise-level dashboards that visualize risk metrics, control effectiveness, and audit outcomes using Power BI.
- Partner with IT teams to ensure seamless data ingestion into the data lake, including defining data requirements and validating data pipelines.
- Build and maintain semantic models and self-service analytics layers to support audit and risk teams.
- Develop predictive and descriptive models that support risk profiling and controlled process design.
- Translate complex datasets into clear, actionable insights and narratives for senior leadership.
- Ensure data quality, governance, and compliance with internal standards and regulatory requirements.
- Establish and uphold best practices for responsible AI use, including model transparency, ethical data handling, and bias mitigation.
- Oversee governance frameworks for the enterprise data warehouse, ensuring data integrity, security, and compliance with regulatory standards.
- Contribute to the development of analytics frameworks and best practices.
- Collaborate with finance, audit, compliance, and operations teams to align analytics with business objectives.
Benefits
- 401(k) retirement savings plan with a company match
- Profit sharing
- Equity opportunities, including participation in company equity stock plans
- Medical, dental, and vision insurance with employer contributions
- Company-paid life insurance
- Short-term and long-term disability (STD/LTD)
- Wellness programs and resources, including an employee assistance program and well-being initiatives
- Paid time off
- Company-paid holidays
- Flexible work arrangements, including an allotment of remote workdays per year
- Education assistance
- Professional development and certification or licensing support
- Performance-based bonus or incentive compensation
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
