Senior Business Insights Analyst

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Business Insights Analyst based in the United States.

Join a forward-thinking technology organization where data-driven insights shape strategic decisions and drive business growth. As a Senior Business Insights Analyst, you will partner with executive leaders and cross-functional teams to transform complex operational, financial, and customer data into actionable recommendations. You will play a key role in developing business cases, forecasting models, enterprise performance metrics, and executive reporting frameworks. Your work will help identify growth opportunities, optimize operational efficiency, and strengthen financial performance. Collaborating across Finance, Sales, Product, and Delivery, you will foster a consistent, data-informed approach to decision-making. This remote opportunity is ideal for an analytical professional who combines technical expertise, business acumen, and strong communication skills to influence organizational strategy.

• Strategic Business Analysis: Partner with executive leadership and business stakeholders to evaluate organizational performance, identify strategic opportunities, and support critical business decisions through rigorous analysis and practical recommendations.
• Financial Modeling and Forecasting: Develop business cases, scenario models, forecasting tools, investment analyses, and value-realization assessments to guide resource allocation, operational improvements, and long-term planning.
• Performance Measurement: Design, implement, and continuously refine enterprise KPI frameworks, executive dashboards, and performance scorecards that provide clear visibility into organizational results and strategic priorities.
• Data Analysis and Interpretation: Translate complex business questions into structured analytical approaches, uncovering trends, risks, performance gaps, and opportunities for improvement across operational, financial, and customer-related data.
• Executive Reporting and Communication: Present findings, insights, and recommendations to senior leaders in a clear, concise, and compelling manner, enabling informed decisions and alignment around business objectives.
• Cross-Functional Collaboration: Work closely with Finance, Delivery, Sales, Product, and other teams to align performance metrics, reporting methodologies, and analytical priorities across the organization.
• Business Performance Monitoring: Track organizational results, identify emerging trends and operational challenges, and recommend targeted actions to improve efficiency, profitability, and customer outcomes.
• Data Governance and Quality: Strengthen enterprise reporting standards, data governance practices, and data quality controls to improve consistency, accuracy, and confidence in business intelligence.
• Analytics Innovation: Introduce improved reporting methods, measurement frameworks, analytical tools, and decision-support capabilities that enhance the organization's ability to make evidence-based decisions.
• Strategic Decision Support: Deliver actionable insights, reliable reporting, and analytical frameworks that connect business performance with corporate priorities and support sustainable growth.

Requirements

• Relevant Professional Experience: Demonstrated experience in business analytics, operational analysis, financial modeling, strategic planning, or executive decision support, preferably within a technology company or high-growth environment.
• Analytical Expertise: Strong ability to investigate complex business problems, interpret large datasets, identify meaningful patterns, and translate findings into practical recommendations.
• Business Acumen: Understanding of organizational performance, financial drivers, operational efficiency, investment decisions, and the relationship between business metrics and strategic outcomes.
• Business Intelligence Tools: Experience developing dashboards and executive reporting using Power BI, Tableau, Looker, or comparable business intelligence platforms is highly desirable.
• Technical Skills: Advanced proficiency in SQL, data modeling, statistical analysis, or related analytical tools is an advantage.
• KPI and Performance Frameworks: Experience designing enterprise KPI architectures, performance scorecards, reporting standards, or value-realization methodologies is preferred.
• Financial and Strategic Modeling: Ability to develop forecasting tools, scenario analyses, business cases, and investment assessments that support executive planning and resource allocation.
• Data Governance: Understanding of data quality, reporting consistency, governance practices, and reliable performance measurement across multiple business functions.
• Executive Communication: Excellent written, verbal, and presentation skills, including the ability to communicate complex analytical findings to both technical and non-technical audiences.
• Stakeholder Management: Ability to build trusted relationships with senior leaders and cross-functional teams, influence decisions through credible insights, and align analytical work with business priorities.
• Critical Thinking and Initiative: Strong problem-solving skills, intellectual curiosity, sound judgment, and the ability to balance detailed investigation with a practical, results-oriented approach.
• Collaboration and Adaptability: Comfortable working across teams, connecting information from different business areas, managing competing priorities, and adapting analytical approaches to evolving needs.
• Industry Knowledge: Familiarity with managed services, cloud infrastructure, enterprise technology, or cybersecurity environments is considered an advantage.
• Professional Values: A commitment to continuous improvement, customer-focused thinking, accountability, collaboration, and measurable business outcomes.

Benefits

• Competitive Salary: Annual base salary ranging from $110,000 to $131,500 , depending on experience, skills, geographic market, responsibilities, and internal equity.
• Remote Flexibility: Work from anywhere within the United States in a remote-friendly environment.
• Flexible Paid Time Off: Flexible time-off policy designed to support work-life balance and personal well-being.
• Healthcare Coverage: Medical, dental, and vision insurance, with Health Savings Account (HSA) and Health Reimbursement Arrangement (HRA) options.
• Retirement Savings: 401(k) plan with a 4% employer match .
• Paid Parental Leave: Paid leave to support employees and their families during important life events.
• Life and Disability Insurance: Coverage designed to provide additional financial protection and peace of mind.
• Wellness Support: Resources supporting physical health, mental well-being, and overall wellness.
• Technology Access: Free colocation and cloud access, providing opportunities to build, test, and experiment in real-world technical environments.
• Collaborative Culture: Work in a low-ego, outcomes-focused environment that values curiosity, continuous improvement, employee empowerment, and customer success.
• Career Development: Opportunities to contribute to strategic initiatives, expand analytical capabilities, and influence business decisions across the organization.
• Inclusive Workplace: Commitment to equal employment opportunities, diversity, accessibility, and reasonable accommodations throughout the recruitment and employment process.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1