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Data Analyst

iConsultera

Remote · 정규직

가장 먼저 지원하세요

경험
2~5세
샐러리
채용 공고
1
게시됨
1시간 전
작업 모드
재택근무
교육
학사 학위
재개하다
신청 시 필수 사항

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Job Summary

We are looking for a meticulous and analytically skilled Data Analyst to join our fully remote team. The chosen candidate will gather, cleanse, and analyse various data sources to provide insightful, data-driven guidance that enhances business decisions, optimizes operations, and fosters growth. Collaboration with multiple departments is essential to deliver precise reporting and tailored data recommendations.

Key Responsibilities

  • Collect, cleanse, validate, and examine data from diverse sources to ensure accuracy.
  • Create and maintain dashboards, reports, and visualizations using tools like Power BI, Tableau, Looker, or equivalents.
  • Develop and refine SQL queries for data extraction, transformation, and generating reports.
  • Detect trends, patterns, and opportunities via statistical methods.
  • Track and analyze key performance indicators (KPIs) regularly.
  • Work closely with business, product, finance, marketing, and operations teams to comprehend reporting needs.
  • Conduct ad hoc data analyses and communicate results effectively to stakeholders.
  • Automate reporting workflows to boost efficiency and precision.
  • Maintain data quality, integrity, and ensure compliance with company policies.
  • Document data handling procedures, methodologies, and standards for reporting.

Required Skills & Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Between 2 to 5 years of relevant experience in data analysis, business intelligence, or equivalent roles.
  • Advanced skills in SQL, Microsoft Excel, and data visualization platforms.
  • Proficiency in Python or R for conducting data analysis and automating tasks.
  • Solid understanding of statistical techniques, data modeling, and cleansing processes.
  • Strong analytical thinking, critical evaluation, and problem-solving capabilities.
  • Excellent communication and presentation skills, able to convey complex data insights clearly.
  • Comfortable working independently within a remote work setup.

Preferred Qualifications

  • Experience with ETL systems, data warehousing solutions, and various business intelligence tools.
  • Knowledge of cloud services such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Basic familiarity with machine learning concepts and predictive analytics.
  • Background in industries like SaaS, fintech, healthcare, e-commerce, or retail.
  • Experience collaborating with remote or international teams.

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