Full-Time

FP&a Manager

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Compensation Overview

$106.9k - $202.7k/yr

Senior

Washington, USA + 2 more

More locations: California, USA | New York, NY, USA

Candidates must be based in the United States, with specific locations mentioned for salary adjustments.

Category
Financial Planning and Analysis (FP&A)
Finance & Banking
Required Skills
NetSuite
Tableau
Salesforce
Data Analysis
Investment Banking
Financial Modeling
Requirements
  • 5+ years of experience in FP&A, preferably in a SaaS company, or experience in investment banking or management consulting
  • Experience building complex financial models, extracting insights, and crafting executive-level communications
  • Experience analyzing large datasets, particularly bookings and customer data
  • Experience using software tools such as Tableau, Adaptive, Salesforce, and NetSuite
  • Public company quarterly close and reporting experience
  • Excellent interpersonal skills and ability to distill topics for executive level consumption
Responsibilities
  • Analyze monthly and quarterly revenue performance, and provide insights to executive management on variances to plan and prior forecast
  • Own the bookings-to-revenue model that drives the organization’s revenue forecast and long-range plan
  • Report on customer metrics and KPIs
  • Build executive and board-level content
  • Partner cross-functionally (e.g., Accounting, Investor Relations, Sales Strategy) on month-end close activities, quarterly earnings, and annual planning
  • Assist with projects on an ad-hoc basis
Desired Qualifications
  • Strong work ethic who is willing to work both autonomously and collaboratively
  • Experience working in a fast-paced, global environment

Elastic offers search-powered solutions that enable businesses to search, analyze, and visualize data in real-time. Its primary product, Elasticsearch, is a versatile search engine that can be deployed in the cloud or on-premises, helping organizations manage large data volumes for better decision-making. Unlike competitors, Elastic provides flexible subscription options and additional services like consulting and training. The company's goal is to empower organizations to effectively utilize their data for improved operational efficiency.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Mountain View, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's dual Google Cloud AI Partner Awards boost its reputation in AI and data management.
  • Integration with Red Hat's OpenShift AI opens opportunities in the hybrid cloud market.
  • Focus on financial services deepens Elastic's presence in the data-reliant finance sector.

What critics are saying

  • Competition from Snowflake and Databricks threatens Elastic's market position in AI and analytics.
  • Evolving data privacy regulations pose compliance challenges for Elastic's AI integrations.
  • Economic downturns could impact Elastic's subscription-based revenue model.

What makes Elastic unique

  • Elastic's AI-optimized architecture offers native vector database capabilities for enhanced data processing.
  • Elastic's integration with Google Cloud Vertex AI enhances AI deployment monitoring capabilities.
  • Elastic's partnership with Tines enhances its security operations with SOAR and AIOps offerings.

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Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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