Manager​/Sr. Analyst, Finance Predictive Analytics

Overview

Salesforce is seeking a Manager/Sr. Analyst, Finance Data Science & Predictive Analytics to help build and scale advanced analytics, machine learning, and AI-driven forecasting capabilities within Financial Planning & Analytics (FP&A). The role partners with finance and data teams to develop predictive models, automate insights, and enhance the accuracy of financial planning and decision-making.

• Develop and deploy predictive models that improve financial forecasting, planning, and visibility of business performance.
• 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.

• 4+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Senior Analyst level; 7+ years for Manager level.
• Bachelor's degree in Finance, Economics, Statistics, Computer Science, Engineering, or related discipline, or equivalent experience.
• Strong hands-on experience with SQL and Python, including building and deploying analytical models.
• Experience with cloud data platforms and modern analytics environments (e.g., GCP, Snowflake, Big Query).
• 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.

• Experience with in SaaS or technology organizations.

Note:

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

Accommodations:
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

Candidate Privacy:
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Posting Statement:
Salesforce is an equal opportunity employer. We believe in equality and strive to create an inclusive workplace free from discrimination. Know your rights: workplace discrimination is illegal. Salesforce assesses employees on merit, regardless of protected characteristics. Compensation varies by location and role; benefits include time off, medical, dental, vision, mental health support, parental leave, life and disability insurance, 401(k), and employee stock purchase program.

Details at Salesforce benefits.