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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Data Analyst — United States — LinkedIn — 4490206904

Аналитика, Аналитика данных · сегодня, 13:34 · 15.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Полная занятость

Грейд: Middle

Company Description

mkPVaDts, Inc. is a remote job platform that helps candidates find roles aligned with their skills, salary expectations, and lifestyle preferences. Founded in 2026, the company focuses on making remote job searches more transparent and efficient across multiple industries. Through clear, user-friendly listings, mkPVaDts enables candidates to quickly identify roles that fit their professional goals. The platform is designed to support better-informed decisions about remote career paths and long-term work arrangements.

Role Description

The Data Analyst role at mkPVaDts is a full-time remote position focused on transforming platform and user data into actionable insights. Day-to-day responsibilities include collecting, cleaning, and validating data from various sources, performing quantitative analyses, and building reports and dashboards to support product, operations, and business decisions. The Data Analyst will collaborate with cross-functional teams to define metrics, interpret trends, and provide recommendations that improve matching accuracy, user experience, and platform performance. This role also involves documenting methodologies, ensuring data quality, and contributing to the development of data-driven strategies and experiments.

Qualifications

• Strong Analytical Skills and hands-on experience in Data Analytics

• Proficiency in Statistics and data modeling techniques

• Effective Communication skills for presenting findings to technical and non-technical stakeholders

• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and SQL or similar query languages

• Familiarity with Python or R for data analysis and scripting is beneficial

• Ability to work independently in a remote environment and manage multiple priorities

• Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience

• Previous experience in analytics for marketplace, HR tech, or SaaS products is a plus

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