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Data Analyst

Fracto Solutions

United States · На постоянной основе

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
2 часа назад
Режим работы
В офисе
Образование
Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, or related field
Резюме
Необходимо подать заявку.

Описание работы

Position Overview

We are seeking a Data Analyst to join our team at Fracto Solutions based in the United States. This role involves managing and interpreting data to provide valuable business insights, facilitating data-driven decisions across departments.

Key Responsibilities

  • Gather, cleanse, and verify data sourced from various platforms.
  • Conduct data analysis to detect trends, patterns, and generate actionable insights relevant to the business.
  • Develop dashboards and reporting tools utilizing Excel, Power BI, Tableau, or Looker Studio.
  • Collaborate closely with business stakeholders, product teams, and technical staff to accurately capture data requirements.
  • Track key performance indicators (KPIs) and generate consistent performance reports.
  • Execute ad-hoc data explorations to assist strategic decision-making processes.
  • Maintain high standards of data quality, consistency, and documentation practices.
  • Deliver clear and effective presentations of analytical findings to various stakeholders.

Qualifications and Skills

  • Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or allied disciplines.
  • Expertise in SQL for extracting and analyzing large data sets.
  • Advanced proficiency in Excel, including functions like VLOOKUP/XLOOKUP, Pivot Tables, and complex formulas.
  • Experience with business intelligence platforms such as Power BI, Tableau, or Looker Studio.
  • Foundational knowledge of data modeling techniques and database management.
  • Strong analytical mindset coupled with robust problem-solving abilities.
  • Effective communication skills with an emphasis on presenting complex data clearly.

Preferred Experience

  • Familiarity with Python or R programming languages for deeper data analysis.
  • Understanding of Google Analytics version 4 (GA4) or other product analytics tools.
  • Awareness of ETL workflows and constructing data pipelines.
  • Previous work experience within IT services, product-centric companies, or analytics consultancy.

Work styles they’re looking for

Аналитическое мышление Решение проблем Сотрудничество Clear Communication

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