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S

Data Analyst (Entry Level)

Soy Excellence Center - SEC India

Remote دوام كامل

كن أول من يتقدم بطلب

خبرة
أي
مرتب
الوظائف الشاغرة
1
تم النشر
منذ 20 ساعة
وضع العمل
العمل من المنزل
سيرة ذاتية
مطلوب للتقديم

المسمى الوظيفي

About the Role

We are seeking a curious and detail-oriented Data Analyst to join our team on a full-time remote basis. This role involves transforming diverse data sets into insightful, actionable information to drive business decision-making and innovation.

Key Responsibilities

  • Collecting, organizing, and analyzing data from multiple sources to produce meaningful insights.
  • Designing dashboards, reports, and visual data presentations that aid strategic decisions.
  • Detecting trends, patterns, and opportunities through detailed data examination.
  • Collaborating with various teams to understand and fulfill analytical and reporting requirements.
  • Ensuring data quality and maintaining accuracy within data sets.
  • Assisting in the creation and monitoring of key performance indicators and metrics.
  • Communicating findings clearly to both technical and non-technical audiences.
  • Driving improvements in business processes through data-driven recommendations.

Required Skills and Qualifications

  • Strong proficiency in SQL and spreadsheet applications such as Microsoft Excel or Google Sheets.
  • Working knowledge of data visualization platforms like Power BI, Tableau, or Looker is advantageous.
  • Basic experience with Python or R for data analysis considered a plus.
  • Exceptional analytical thinking and strong attention to detail.
  • Capability to interpret complex data sets and articulate insights effectively.
  • Excellent problem-solving abilities coupled with strong organizational skills.
  • Good communication skills with an aptitude for team collaboration.
  • Keen willingness to learn and adopt new analytical technologies and tools.

Benefits and Perks

  • Flexible remote working setup to support work-life balance.
  • Hands-on experience working with real business data and contemporary analytics technologies.
  • Access to mentorship, educational resources, and pathways for professional growth.
  • A collaborative and supportive team environment.
  • Competitive salary paired with a comprehensive benefits package.
  • Opportunities to participate in impactful projects influencing business strategies through data.

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