Senior Business Analyst

RadNet

About The Position

Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as Senior Business Analyst, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators achieve the best clinical outcomes. The Senior Business Analyst supports organizational success by driving data-informed decision-making and process optimization. This role focuses on analyzing operational data, identifying opportunities for improvement, and collaborating with stakeholders to implement effective solutions. By developing insightful reporting tools, predictive models, and clear recommendations, the Senior Business Analyst ensures alignment between strategic goals and operational performance.

Requirements

Bachelor’s degree of Business Analytics, Business Administration, Finance or related field
4+ years as business analyst supporting one or more business function(s) or working experience in a related field with a fast-paced environment
Must have an understanding of key financial concepts such as budgeting, forecasting, account reconciliations, and financial statement preparation
Possess strong quantitative and analytical skills with attention to details, analytical and problem-solving skills
Developed effective business and financial discernment
Demonstrates a strong work-ethic and high-level of accountability
Must have strong written, verbal, and interpersonal communications skills including ability to listen attentively and to communicate information clearly and effectively
Ability to meet deadlines, effectively manage multiple priorities and perform job responsibilities accurately in a fast-paced and dynamic environment
Demonstrates strong organization skills, initiative and the ability to be a self-starter
Must have an inherent curiosity
Ability to analyze high volume of transactions/data
Ability to work independently and as a team member with minimal daily direction from management to accomplish objectives and deadlines
Advanced Excel skills, Pivot Tables, Vlookups

Nice To Haves

Maintains professionalism, integrity, and confidentiality in all interactions.
Adheres to all applicable policies and regulations, including HIPAA, OSHA, and RadNet guidelines.
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors.
Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA.

Responsibilities

Gather and analyze operational data from various sources to identify trends, inefficiencies, and opportunities for improvement.
Develop and maintain dashboards, reports, and key performance indicators (KPIs) to support data-driven decision-making.
Analyze operational challenges and provide actionable, data-driven recommendations for solutions.
Map and document current operational processes, identifying inefficiencies and opportunities for improvement.
Monitor the impact of implemented changes, leveraging data to measure success and guide ongoing refinements.
Interpret complex datasets to deliver actionable insights that inform strategic decisions for business leaders.
Present findings and recommendations through clear, concise reports tailored to executives, managers, and technical teams.
Build predictive and prescriptive models to forecast operational outcomes and evaluate potential scenarios.
Collaborate with stakeholders across departments to understand data needs and align on objectives.
Serve as a liaison between IT and business units to ensure data solutions meet operational requirements.
Provide training and support to teams, enhancing their ability to interpret and utilize operational data effectively.
Work with IT to optimize data sources, ensuring integrity, availability, and accuracy.
Support the implementation and integration of tools, systems, or technologies that improve data management and reporting capabilities.
Conduct in-depth analyses of operational issues or strategic initiatives as requested by leadership.
Assist in developing business cases for new projects or process changes through comprehensive data analysis.
Generate regular and ad-hoc reports to provide management with actionable insights for decision-making.