Senior Data Analyst – Software

Role Overview

This position is critical to the success of the team, as the Senior Data Analyst will take ownership of key software vendors within the Human Resources Application Software market or similar ERM market and contribute to the overall market sizing and forecasting process.

What You Will Do

Vendor Modeling & Reconciliation, Market Data Leadership, Systematic Data Creation & Methodology, AI-Driven Research & Automation, Market Review & Stakeholder Collaboration

Why It Might Be a Fit

Strong analytical and problem-solving skills, attention to detail, intellectual curiosity, ability to work independently, and strong collaboration skills.

Requirements

• Bachelor’s or master’s degree in business, Economics, Statistics, Computer Science, Data Analytics, or another relevant discipline.
• Relevant professional certifications in data analytics, AI, or market research are an advantage.
• 5+ years of relevant experience in market research, technology/software research, data analytics, financial modeling, or a related field.
• Experience in software industry research and vendor-level analysis is strongly preferred.
• Strong proficiency in Excel and data analysis, with hands-on experience in vendor modeling, data reconciliation, market sizing, forecasting, and working with large and complex datasets.
• Experience with Python and AI tools such as Claude for research, data creation, validation, and automation is highly desirable.
• Strong understanding of software markets, vendors, products, and industry dynamics, with the ability to develop systematic, methodology-driven approaches to data collection, estimation, validation, and market analysis across multiple software domains.
• Strong analytical and problem-solving skills, attention to detail, intellectual curiosity, ability to work independently, and strong collaboration skills.
• Ability to work with domain leads and taking ownership of vendor and market deliverables.
• Excellent level of English language and communication skills.

Benefits

• Competitive benefit package
• Career Growth: Clear pathways for professional development and advancement within the company.
• Work Flexibility: Hybrid work model with a mix of in-office and work-from-home days, along with flexible working hours.
• Supportive Culture: Join a team that values innovation and promotes a supportive and collaborative environment.
• A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded.

Tagged as: Data Analysis