In this onsite Senior Risk Data Analyst role at SBA Network Services, LLC, you will help turn risk data into dashboards and insights that leadership can use to make strategic decisions. Working within a risk-focused analytics environment, you will lead development efforts across reporting, semantic modeling, and risk analytics while partnering closely with IT and business stakeholders to ensure reliable, governed data.
You will focus on building enterprise-level visibility into risk metrics, control effectiveness, and audit outcomes, with a strong emphasis on data quality and compliance. The work also includes developing predictive and descriptive models for risk profiling, translating complex results into clear narratives for technical and non-technical audiences.
What you’ll do
- Design and maintain enterprise-level dashboards in Power BI to visualize risk metrics, control effectiveness, and audit outcomes.
- Partner with IT teams to support seamless data ingestion into the enterprise data lake, including defining data requirements and validating data pipelines.
- Build and maintain semantic models and self-service analytics layers for audit and risk teams.
- Develop predictive and descriptive models to support risk profiling and controlled process design.
- Translate complex datasets into actionable insights and narratives for senior leadership.
- Ensure data quality, governance, and compliance with internal standards and regulatory requirements.
- Establish best practices for responsible AI use, including model transparency, ethical data handling, and bias mitigation.
- Oversee governance frameworks for the enterprise data warehouse to maintain data integrity, security, and regulatory compliance.
- Contribute to analytics frameworks and best practices across the organization.
- Collaborate with finance, audit, compliance, and operations teams to align analytics work with business objectives.
Key requirements
- Bachelor’s or Master’s degree in Data Science, Finance, Accounting, Computer Science, or a 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, including SOX and COSO.
- Experience collaborating with IT teams to manage data pipelines and data lake architecture.
- Ability to craft compelling data stories and present insights to both technical and non-technical audiences.
- Excellent communication, stakeholder engagement, and project management skills.
- Preferred: Experience with enterprise audit platforms and GRC tools.
- Preferred: Familiarity with machine learning techniques for risk forecasting.
- Preferred: Knowledge of regulatory environments and enterprise risk management systems.
Technologies
Benefits
- 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.
- 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.
- 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.
Physical requirements and 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.
Benefit offerings are subject to plan terms, eligibility requirements, and applicable law, and may vary based on factors such as part-time status and 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.
