Senior Business Analytics Manager

Ladders; United States; On-site; USD 132,000 - 236,000; Full time

Benefits offered by this job

Cutting-edge AI projects

Mentoring junior analysts

Engagement with senior leadership

Exposure to complex challenges

Finance scalability enhancements

Job summary

Ladders is seeking a Senior Business Analytics Manager to lead advanced analytics initiatives within Finance, focusing on planning, forecasting, reporting and operational efficiency. The role translates ambiguous business challenges into data-driven solutions and shapes scalable analytics capabilities to support better decision-making.

You will partner with Finance leaders, data teams and senior stakeholders to move ideas from prototype through production, designing scalable data products and

Qualifications

• Bachelors or higher in a quantitative field.
• 8-10+ years in analytical roles (consulting or strategic finance).
• Advanced SQL skills with large datasets.
• Proficiency in BI tools, especially Power BI.
• Experience with Finance planning, forecasting, and reporting processes.
• Ability to structure complex problems and communicate findings.
• Experience designing scalable dashboards and reporting solutions.

Responsibilities

• Lead analytics and AI workflow initiatives from start to finish.
• Collaborate with Finance stakeholders to enhance workflows using data and automation.
• Translate ambiguous challenges into structured analytical frameworks.
• Design and build scalable data products for Finance analytics.
• Prototype AI-enabled solutions for Finance workflows.
• Partner with data teams to move prototypes into production-ready solutions.
• Define KPI frameworks for financial metrics to ensure alignment.

Skills

SQL

Power BI

Financial planning

Forecasting

Reporting

Problem structuring

Dashboard design

Education

Bachelor's degree in a quantitative field

Job description

For our client, we are seeking a Senior Business Analytics Manager to join the team of a leader in the Information Technology space.

This role will lead advanced analytics initiatives within Finance, with a focus on improving planning, forecasting, reporting, and operational efficiency. The ideal candidate will translate ambiguous business challenges into structured, data-driven solutions and help shape scalable analytics capabilities that support better decision-making. You will also partner closely with Finance leaders, data teams, and senior stakeholders to move ideas from prototype through production.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $132,000 – $235,950 annually

Responsibilities

• Lead analytics and AI workflow initiatives from start to finish
• Collaborate with Finance stakeholders to enhance workflows using data and automation
• Translate ambiguous challenges into structured analytical frameworks
• Design and build scalable data products for Finance analytics
• Prototype AI-enabled solutions for Finance workflows
• Partner with data teams to transform prototypes into production-ready solutions
• Define KPI frameworks for financial metrics to ensure alignment

Qualifications

• Bachelor's degree or higher in a quantitative field
• 8-10+ years of experience in analytical roles such as consulting or strategic finance
• Advanced SQL skills with large, complex datasets
• Strong proficiency in BI tools like Power BI
• Experience with Finance planning, forecasting, and reporting processes
• Ability to structure complex problems and communicate findings effectively
• Experience in designing scalable dashboards and reporting solutions

Benefits

• Opportunity to work on cutting-edge AI and automation solutions
• Mentoring role to develop junior analysts and enhance team capabilities
• Engagement with senior leadership and cross-functional teams
• Exposure to complex, high-impact business challenges
• Ability to drive efficiency and scalability in Finance operations

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.