Manager/Sr. Analyst, Finance Predictive Analytics

Salesforce•Indianapolis, IN

6d•Hybrid

About The Position

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 & Analysis (FP&A). This role will partner closely with finance and data teams to develop predictive models, automate insights, and enhance the accuracy of financial planning and decision-making. The ideal candidate combines strong technical expertise with business acumen and thrives in a fast-paced, highly collaborative environment.

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.
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.

Nice To Haves

Experience within SaaS or technology organizations

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.