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QuikyGo™

Junior Data Analyst

QuikyGo™

California, Kentucky, United States 兼职

抢先申请

经验
任何
薪水
职位空缺
1
发布
3 天前

Where you'll work

职位描述

Role Description

This position is for a Junior Data Analyst focused on enabling data-informed decisions through the collection, analysis, validation, and reporting of data. You will assist in converting raw data into actionable insights that support business operations, performance monitoring, and strategic goals. Your role involves working with datasets from various origins, contributing to the cleaning, organization, and preparation of data for analysis. You will support senior analysts and cross-functional teams by conducting structured analyses, identifying fundamental trends and patterns, and ensuring the accuracy and consistency of data.

Key duties include maintaining datasets, executing data validation checks, and assisting with routine analytical tasks. You will help produce reports, dashboards, and summaries that effectively convey findings to both technical and non-technical audiences. Collaboration with different departments will be essential to understand data needs, support reporting requirements, and contribute to ongoing analytics projects. This role offers valuable exposure to practical data workflows, business metrics, and analytical methodologies, making it an excellent opportunity for individuals aiming to build foundational data analysis expertise.

The Junior Data Analyst must possess a keen eye for detail, strong logical reasoning abilities, and a proactive approach to learning. Adherence to data standards, documentation of assumptions, and ensuring the accuracy, timeliness, and alignment of outputs with business objectives are expected. Effective communication skills are vital, as you will help articulate data findings and support informed decision-making. By providing dependable analytical support, the Junior Data Analyst contributes significantly to generating data-driven insights and fostering continuous improvement.

Additional Information

The role requires a strong commitment to data quality and governance standards.

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