---
title: 'Financial Analyst at Innodata'
canonical: 'https://feeny.ai/job/financial-analyst-innodata-san-francisco-phpwc9wnb7yd'
type: 'job'
last_seen: '2026-09-10'
---

# Financial Analyst at Innodata

- **Company:** Innodata
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2019-07-24
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/innodata/8ba83c1f-ca86-4fd5-9907-98d6ecabb3f4

## Job description

Lever is currently looking for an experience Financial Analyst to join our Finance Team.

Our ideal candidate would have a Bachelors degree in Finance or Accounting with at least 3 years of related work experience including preparing annual budgets, performing analysis concerning the company's financial statements, and working with complex general ledger related to the month end closing and reporting process for the domestic and international offices.

Representative Responsibilities:

- Annual budget and forecasting
- Completely responsible for the annual budget process and hands off to the International Controller and VP of Finance for final review.
- Compiles data for revenue by item, cost of goods, royalties and commissions, department expenses, capital expenditures, cash flow and balance sheet.
- Maintains the budget database and updates with any changes
- Responsible for gathering assumptions regarding the budget for each company
- Researches potential areas of improvement in budget control procedures
- Prepares the five year forecasts
- Prepares revenue and financial forecasts quarterly or as needed
- Responsible for international financial statements.
- Delivers statements to International Controller for review.
- Assists VP of Finance with treasury matters

## Qualifications

- Excellent communication, problem-solving and interpersonal skills
- Computer skills preferred (Excel, Word, Outlook, SAP)
- Strong knowledge of accounting, key performance indicators, and ratio analysis
- Knowledge of manufacturing processes, cost accounting methods
- Strong working knowledge of accounting systems

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

## About Innodata

## Company Overview
- **One-liner**: Innodata is a global data engineering and AI systems services company that helps leading technology companies and enterprises build, train, evaluate, and deploy advanced AI systems.
- **Entity Type**: Public — Nasdaq: INOD
- **Headquarters**: Ridgefield Park, New Jersey, USA (just outside New York City)
- **Founded**: 1988
- **Founders**: Not publicly available in cited sources

## Core Business
- **Primary industry**: AI data engineering & AI lifecycle services (training data, post-training alignment, AI safety evaluation, and enterprise AI enablement)
- **Target customers**: B2B — frontier AI laboratories, Big Tech companies (including five of the "Magnificent Seven"), and enterprise adopters in banking, insurance, financial services, technology, digital retail, and information/media
- **Mission**: "To enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale" — per its 2025 10-K filing

## Products & Services
- **Training & Post-Training Data Development**: Domain-specific data annotation across image, video, sensor (LiDAR), text, document, audio, and speech data, plus data generation, augmentation, and fine-tuning datasets.
- **Alignment & Preference Optimization**: Human preference feedback and alignment services to help models behave reliably and match developer intent.
- **AI Safety Evaluation & Red Teaming**: Capabilities, alignment, and safety evaluation; structured red teaming for prompt injection, jailbreaks, agent workflows, tool use, data exfiltration, and privilege-escalation risks.
- **AI Enablement & Operationalization**: Support for agentic and tool-using systems, model configuration, integration, and deployment.
- **AI Consultation & Vision Workshops**: Strategic roadmapping, design thinking, and person/machine synergy planning for enterprise AI adoption.
- **Digital Transformation Services**: Cloud migration, legacy application modernization, and product design.
- **GenAI Workbench** *(coming soon)*: Proprietary AI SaaS platform for advanced LLM development.
- **Synodex®**: Platform that transforms medical records into structured digital data for insurance and healthcare workflows.
- **Agility PR Solutions**: Media intelligence and public relations workflow SaaS with AI-driven monitoring, analytics, and content capabilities; rated by G2 Crowd as meeting customer requirements better than its two largest competitors.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in the cited sources; INOD trades on Nasdaq with notable volatility tied to AI market sentiment — verify the current figure via a live quote.
- **Key Metric**: Annual revenue of $251.7M (per LinkedIn company data); 10,107 employees as of December 31, 2025 (per 10-K).
- **Notable Investors/Partners**: No traditional VC investors — publicly traded. Customers include five of the "Magnificent Seven," several leading AI research labs, and large enterprises.
- **Growth Signals**:
  - +64.5% YoY headcount growth reported on LinkedIn (+3,386 people)
  - 12,200 professionals across 70+ countries (including employees and contractors), spanning North America, Europe, and Asia-Pacific
  - 20+ global delivery locations with proficiency in 120+ native languages and dialects
  - Customer investments often measured in the hundreds of millions of dollars in AI R&D and deployment

## Competitive Advantages
- **36+ year track record**: Founded in 1988; long-standing trust with major global organizations.
- **Full AI lifecycle coverage**: Operates across training, post-training, alignment, evaluation, and deployment in alignment with AI developers' internal pipelines.
- **Scale of specialized human expertise**: 11,500+ in-house subject matter experts across STEM, healthcare, finance, legal, linguistics, and taxonomy domains.
- **One of the largest, most geographically diverse delivery footprints** in AI data and eval, enabling follow-the-sun iteration and multilingual/culturally informed safety assessments.
- **Research-driven safety approach**: Proprietary red teaming, cybersecurity testing for LLMs and agents, and measurement rigor relevant for frontier model developers and high-stakes enterprise deployments.
- **Dual role**: Serves both AI builders and enterprise adopters, creating a reinforcing feedback loop that strengthens capabilities across both sides of the market.
- **Proprietary platforms**: Synodex and Agility deliver recurring SaaS revenue and vertical-specific AI value.

##

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