Editorial Specialist (Data Analysis Focus)

Editorial Specialist (Data Analysis Focus) We are Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role

Key Responsibilities

Interpret, validate, and transform financial data into structured, high-quality outputs . Ensure data accuracy, consistency, and compliance with internal standards. Translate complex financial datasets into clear, concise, and well-structured content through light editorial writing. Apply markup, formatting, and content structuring to prepare materials for publication. Perform technical and editorial reviews of data-driven content. Collaborate with cross-functional teams (data, editorial, and operations) to maintain quality and consistency . Identify and resolve inconsistencies in data and content presentation. Support team development and mentoring , promoting best practices in both data handling and editorial quality. Must-have Skills 3+ years of experience working with financial data, data analysis, or editorial/data-focused roles. Strong ability to interpret, validate, and transform financial datasets . Advanced proficiency in Microsoft Excel (complex formulas, data cleaning, data modeling). Excellent written and verbal communication skills in English , with strong grammar, syntax, and clarity. Experience in copyediting, technical writing, or content quality review . Exceptional attention to detail and ability to ensure high data and content accuracy . Strong analytical and critical-thinking skills.

Nice-to-have

AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. Understanding of fixed income fundamentals (yields, duration, credit). Familiarity with financial data platforms such as Bloomberg Terminal or Morningstar . Experience with Workfront or similar workflow management tools.

What we offer

A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .