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Manager​/Sr. Analyst, Finance Predictive Analytics

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Salesforce, Inc.
Full Time, Part Time, Volunteer position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 105000 - 145000 USD Yearly USD 105000.00 145000.00 YEAR
Job Description & How to Apply Below
Location: Indianapolis

## Manager/Sr. Analyst, Finance Predictive Analytics Apply remote type:
Office
- Flexible locations:
Indiana
- Indianapolis:
Georgia
- Atlanta time type:
Full time posted on:
Posted Yesterday job requisition :
JR352065
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Finance Job  Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
**** The Experience
**** We are 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.
** What You'll Actually Be Doing
*** 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.
**** You're Our Person If...
***** 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, 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.
** Even Better If...
*** Experience with in SaaS or technology organizations

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

Unleash Your Potential When you join Salesforce, you’ll be…
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