Senior Business Analyst

Purpose

The Senior Business Analyst serves as a strategic finance partner to the Global Development and Platform Engineering organizations, delivering advanced financial and operational insights that inform investment decisions, forecasting accuracy, and cost optimization.

Impact

• Lead high-complexity analytical initiatives across financial operations, forecasting, cloud and engineering spend analysis, order-to-cash optimization, and multi-team process redesign.
• Independently scope, plan, and execute advanced analytical projects with significant influence on business decisions, operating models, and investment priorities.
• Provide data-driven insights to the CTO and SVP of Software Development that inform policy decisions, efficiency programs, and automation strategies.
• Drive measurable improvements in forecast accuracy, cost efficiency, operational timeliness, data quality, and cross-functional alignment at a global scale.

Cross-Functional Collaboration

• Serve as a primary finance partner to Cloud Operations and Software Development teams, aligning spend targets, capacity planning, and performance metrics with financial plans.
• Collaborate closely with global Engineering, Platform, and Finance leadership to improve reporting consistency, forecasting discipline, and decision-making transparency.
• Lead and contribute to ad-hoc analyses and strategic initiatives that enhance development efficiency, cloud economics, and operational insight across the organization.

Process Improvement & Data Integrity

• Own the continuous optimization of global reporting and forecasting processes to improve visibility into cloud operations and software development performance.
• Establish and enforce best practices for data accuracy, governance, and validation across NetSuite and Power BI environments.
• Partner with Finance Systems, Data, and Engineering teams to adopt new tools, methodologies, and automation approaches that enable scalable growth.

Core Analytical & FP&A Capabilities

• Data-Driven Decision Making: Analyze complex datasets, identify trends, and translate insights into clear, actionable recommendations for senior leaders.
• Financial Acumen: Strong understanding of forecasting methodologies, cost management, revenue dynamics, and financial planning principles.
• Process Improvement Mindset: Continuously refine workflows to increase efficiency, reduce manual effort, and improve decision quality.
• Problem-Solving Skills: Diagnose issues, evaluate alternatives, and implement sustainable, scalable solutions.
• Stakeholder & People Skills: Build trusted partnerships with Finance, Engineering, and executive stakeholders.

Technical & Analytics Expertise

• Advanced proficiency in Power BI, including data modeling, DAX, and dashboard optimization.
• Advanced Excel skills, including complex models, pivot tables, advanced formulas, and data visualization.
• Experience working with ERP and CRM systems (e.g., NetSuite, Salesforce).
• Familiarity with Azure and AWS cost and operational dashboards.

AI-Enabled Analytics & Automation

• Design, build, or oversee AI-enhanced operational intelligence solutions, such as predictive cost models, anomaly detection, and automated scenario simulations.
• Define governance, quality, and validation standards for the responsible and auditable use of AI in financial and operational analytics.
• Train and mentor colleagues on AI-assisted analysis, prompt engineering, and automation techniques.
• Partner with technical teams to embed AI/ML insights directly into operational workflows (e.g., alerts, automated variance explanations, predictive routing).

Required Experience & Education

• 6+ years of experience in FP&A, business analytics, financial analysis, or operational finance roles with increasing scope and complexity.
• Bachelor’s degree in finance, Business, Data Analytics, or a related field.
• Experience working with ERP and CRM systems (e.g., NetSuite, Salesforce).
• Advanced proficiency in Power BI (or comparable data visualization tools) and Excel.

Preferred Experience & Education

• Experience in a SaaS, healthcare software, or technology-enabled services environment.
• Master’s degree in management information systems, Data Analytics, or a related field.
• Experience collaborating with globally distributed teams.
• Working knowledge of SQL or other data querying languages.
• Background in reporting automation, forecasting optimization, and analytics process improvement.

Benefits

Our benefits for Full Time employees are designed to help you move forward in your career, and in areas of your life outside of work. From health and wellness benefits, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, and tuition assistance, we've got you covered with our total rewards package.

Starting Pay Range

The starting pay range for a candidate selected for this position is generally within the $75,300 - $100,000 annual base salary range. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the exact starting pay may be above or below this range.

Supervisory Responsibilities

None

Physical Requirements

• Work is performed in a regular office setting with minimal exposure to health or safety hazards—prolonged periods of sitting at a desk and working on a computer.
• 25-50% Travel may be required
• Moderate lifting/carrying 15-44 lbs.; use of fingers; walking/standing 2-6 hours
• Exposure to hazardous materials or various weather conditions
• Travel to client sites that can pose a risk associated with a healthcare organization
• May be required to follow customer location health and safety requirements

Clinisys’ Commitment to Equal Opportunity

Clinisys Information Systems is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status, or other characteristics protected by law.