Marketing Data Analyst- 6 Month Contract

Confidential

Remote job permanent

Posted: February 21, 2026

Required Skills

Job Description

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.

About the Role

We are seeking a detail- orientated Data Analyst with 3+ years of experience in analyzing consumer behavior and campaign performance to drive strategic decisions. Proficient in SQL, Google Analytics, and data visualization tools, with a proven track record of optimizing marketing ROI through actionable, data-driven insights and predictive modeling."

Key Responsibilities

• Data Collection & Analysis: Gather and analyze data from multiple sources, including web analytics, social media, and CRM tools to identify trends, patterns, and insights.

• Campaign Optimization: Monitor overall marketing performance, evaluate ROI for direct marketing spend, and conduct A/B testing to refine strategies.

• Reporting & Visualization: Create dashboards, comprehensive reports, and presentations using tools like Tableau or Excel to communicate findings to stakeholders.

• Market Research: Analyze competitor activity, market trends, and consumer buying intentions to inform marketing strategies.

• Collaboration: Work with marketing, sales, and product teams to translate data into actionable insights and strategic recommendations

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