Data Operations Analyst

Location: Remote

Company

hirify.global provides TDX, an AI-powered workforce analytics platform that helps large organizations design, source, and manage their extended workforce.

What you will do

• Analyze workforce and business data to identify trends, anomalies, inconsistencies, opportunities, and actionable insights.
• Investigate customer questions, translate business needs into data-driven solutions, and support customer deliverables and reporting.
• Work directly with customers, participate in meetings and presentations, clarify requirements, and communicate findings, recommendations, and project updates.
• Review data and deliverables for accuracy, consistency, and completeness; resolve discrepancies and document methodologies, assumptions, and findings.
• Manage multiple projects and customer requests, prioritize work, and collaborate with Customer Success, Product, Data, and Platform Engineering teams.
• Develop internal tools and automations using Python and SQL to reduce completion time for recurring tasks.

Requirements

• Bachelor’s degree in Business, Analytics, Statistics, Mathematics, Economics, or a related field, or equivalent work experience.
• At least 2 years of experience in data analysis, business analysis, consulting, customer-facing analytics, or a related role, including direct work with customers, clients, or business stakeholders.
• At least 2 years of experience in DevOps, internal tools development, or full-stack systems engineering, with an emphasis on automation.
• Strong written and verbal communication skills, including the ability to explain analytical findings to non-technical audiences and translate customer requirements into analytical solutions.
• Advanced Excel proficiency, including Pivot Tables, XLOOKUP/VLOOKUP, INDEX/MATCH, logical formulas, data validation, and large dataset manipulation.
• Proficiency in Python, Docker, Git, and SQL for data extraction and analysis.
• Experience preparing reports, analyses, and customer-facing deliverables.
• Strong problem-solving, critical-thinking, organizational, and attention-to-detail skills, with a commitment to data quality.
• Ability to work through ambiguity and incomplete requirements, manage multiple priorities, meet deadlines, take ownership, and deliver accurate, high-quality work.

Culture & Benefits

• Fully remote work environment.
• Flexibility, ownership, and continuous learning are valued.
• Collaborative environment for sharing knowledge and insights.
• Inclusive workplace committed to equal opportunity and diversity.