Remote Data Analyst (Entry-Level) - Excel & BI Dashboards
Mashreq Bank
United States
Remote
Full time
14 days+
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Benefits offered by this job
100% remote work opportunity
Competitive entry-level salary package
Flexible work-life balance
Training and upskilling programs
Opportunity to work with global teams
Job summary
A remote-first company is seeking a detail-oriented Entry-Level Data Analyst to join their workforce. This role requires collecting and analyzing data to assist teams in decision-making. Ideal candidates should hold a Bachelor's degree in a relevant field and have foundational skills in data analysis and Excel. Benefits include flexible hours and career growth opportunities. Suitable for freshers eager to work with real-world data projects.
Qualifications
Basic understanding of data analysis concepts and methodologies.
Proficiency in Microsoft Excel including formulas, pivot tables, and charts.
Strong analytical thinking and problem-solving skills.
Responsibilities
Collect, clean, and organize data from multiple sources for accuracy.
Analyze datasets to identify trends, patterns, and actionable insights.
Create reports, dashboards, and visualizations using Excel, Power BI, or Tableau.
Collaborate with teams to understand data requirements.
Perform data validation and quality checks.
Skills
Data analysis concepts
Microsoft Excel
Data visualization tools (Power BI, Tableau)
SQL
Python
Analytical thinking
Problem-solving skills
Communication skills
Education
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or related field
Tools
Excel
Power BI
Tableau
Job description
A remote-first company is seeking a detail-oriented Entry-Level Data Analyst to join their workforce. This role requires collecting and analyzing data to assist teams in decision-making. Ideal candidates should hold a Bachelor's degree in a relevant field and have foundational skills in data analysis and Excel. Benefits include flexible hours and career growth opportunities. Suitable for freshers eager to work with real-world data projects.