Manager/Sr. Analyst, Finance Predictive Analytics

About the role

The Manager/Sr. Analyst, Finance Data Science & Predictive Analytics role is within the Agentforce team at Salesforce. This role focuses on developing and deploying predictive models to improve financial forecasting, planning, and business performance visibility.

Responsibilities

• Develop and deploy predictive models that improve financial forecasting, planning, and business performance visibility.
• Partner with FP&A teams to identify high-impact use cases and translate business challenges into scalable analytics solutions.
• Establish foundational data pipelines, model governance, and performance monitoring processes to support enterprise-grade forecasting capabilities.
• Generate actionable insights from financial and operational data to support strategic decision-making.
• Drive adoption of AI, machine learning, and automation solutions across Finance in partnership with FP&A, and Data teams.
• Build self-service analytics and reporting capabilities that improve stakeholder access to trusted financial and business performance metrics.
• Ensure data integrity, reconciliation, and consistency across multiple systems and data sources.
• Communicate analytical findings and recommendations to finance leadership and cross-functional stakeholders.

Requirements

• 4+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Sr. Analyst level; 7+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Manager level.
• Bachelor's degree in Finance, Economics, Statistics, Computer Science, Engineering, or a related discipline or equivalent relevant experience required.
• Experience will be evaluated based on the Core Competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).
• Strong hands-on experience with SQL and Python, including building and deploying analytical models.
• Experience working with cloud data platforms and modern analytics environments (e.g., GCP, Snowflake, BigQuery).
• Familiarity with machine learning techniques, predictive modeling, and AI/LLM-based applications.
• Experience with BI and observability tools such as Tableau, Looker, Amplitude, Datadog, or similar platforms.
• Strong data validation and reconciliation skills across large, complex datasets.
• Ability to translate technical concepts into business insights for non-technical audiences.
• Self-starter who is comfortable operating in ambiguity, building new capabilities from the ground up, and influencing without direct authority.

Qualifications

• Experience within SaaS or technology organizations is preferred.

Skills

• SQL and Python proficiency.
• Experience with cloud data platforms and modern analytics environments.
• Familiarity with machine learning techniques and AI/LLM-based applications.
• BI and observability tool experience (Tableau, Looker, Amplitude, Datadog).
• Data validation and reconciliation skills.
• Ability to communicate technical concepts to non-technical audiences.
• Ability to operate in ambiguity and build new capabilities.

Benefits

Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Pay

Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. For more details, visit Salesforce Benefits.

Schedule

This role is hybrid and goes into the office 3 days per week.