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Operations Analyst | $50/hr Remote

Posted 3 days ago by Crossing Hurdles

Role Responsibilities

Interpret a range of complex financial and operational charts, applying advanced domain knowledge.

Draft clear, objective reasoning questions based on intricate visualizations, requiring multi-step quantitative analysis.

Deliver unambiguous, precise answers with comprehensive written explanations and analytical steps or calculations.

Apply accurate financial, economic, and operational terminology, ensuring clarity throughout all submissions.

Develop robust tasks targeting graphical reasoning, comparisons, trend analysis, calculations, and interpolation.

Collaborate remotely with project teams, communicating effectively to incorporate feedback and ensure reliability.

Consistently produce objectively verifiable tasks that support the development, training, and evaluation of AI models.

Requirements

Bachelor s degree or equivalent professional experience in Finance, Economics, Business Analytics, Industrial Engineering, Operations Management, or a related discipline.

Strong experience interpreting financial market data, risk metrics, or operational performance charts.

Advanced proficiency in interpreting chart features such as axes, units, legends, scales, and annotations.

Demonstrated ability to clearly articulate analytical processes and quantitative reasoning in both written and spoken English.

Bilingual proficiency in English and ideally a second language relevant to the financial or operational domain.

Strong experience in technical documentation, financial reporting, process or quality assessment, or structured analytical task creation.

Background in producing data-annotation tasks, benchmark questions, technical reports, or related deliverables for finance, operations, or AI-driven projects.

Application Process

Easy Apply on LinkedIn.

Check email for next steps.

Participate in resume evaluation & interview stage.

Rate:
Not specified
Location:
United Kingdom
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level

Take-Home Pay

Not Available

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