Language Data Analyst (Arabic)

Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people. Here’s what you can expect: • Competitive base • Comprehensive benefits and wellness support • Flexible work model: hybrid, remote, or in-office • Real growth opportunities and leadership visibility • Inclusive, respectful culture that blends U.S. innovation with Colombian heart • A company that listens, invests in you, and celebrates wins together About The Role We are looking for a detail-oriented, data-driven Data Analyst with strong Arabic language skills to support the expansion of global product features for one of our clients. In this role, you will help ensure the delivery of accurate, high-quality data by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. You will collaborate closely with linguistics and engineering teams in a fast-paced, data-focused environment. This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote. The role is BYOD — Bring Your Own Device (laptop). What You Will Do Data Quality & Analysis • Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. Language & Taxonomy Development • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Arabic (and/or Arabic to English as needed). Documentation & Process • Document findings clearly and follow established processes to ensure consistency and quality. What You Bring Education • Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred). Language Skills • Fluency in reading and writing Arabic and English, with strong attention to linguistic detail. • Understanding of syntax and structural language analysis. Technical Expertise • Proficiency in Microsoft Excel, including VLOOKUPs, functions, and data cleanup. • Working knowledge of query languages such as SQL. • Advanced experience writing and debugging rules using RegEx. • Familiarity with text analysis, NLP, or machine learning fundamentals. • Experience performing data analysis using tools such as Excel and/or Python. Experience & Work Style • Comfort working with high-volume, repetitive tasks while maintaining accuracy and focus. • Ability to follow complex instructions, navigate ambiguity, and work independently. • Strong sense of urgency, organization, and time management. • Reliable laptop and stable internet access. Visa Sponsorship AspenView does not provide visa sponsorship for this role. Candidates must already be legally authorized to work in their country of residence. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact. Visa Sponsorship AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact. Show more Show less

Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred). Fluency in reading and writing Arabic and English, with strong attention to linguistic detail. Proficiency in Microsoft Excel, including VLOOKUPs, functions, and data cleanup. Working knowledge of query languages such as SQL. Advanced experience writing and debugging rules using RegEx. Familiarity with text analysis, NLP, or machine learning fundamentals. Experience performing data analysis using tools such as Excel and/or Python.

Data Quality & Analysis: Analyze, evaluate, and improve the quality of multilingual text classifier outputs; identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. Language & Taxonomy Development: Partner with linguistics and engineering teams to develop and refine language-specific parsers; translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Arabic (and/or Arabic to English as needed). Documentation & Process: Document findings clearly and follow established processes to ensure consistency and quality.