Data Analyst

NimbusAITech LLC
Richmond, United States of America
yesterday

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Richmond, United States of America

Tech stack

Microsoft Excel
Data analysis
Big Data
Information Systems
Data Cleansing
ETL
Data Mining
Data Visualization
Data Warehousing
Database Queries
Document-Oriented Databases
Python
Power BI
SQL Databases
Tableau
Information Technology
Data Analytics
Custom Reports

Job description

  • Collect, analyze, and interpret business data.
  • Develop reports, dashboards, and visualizations.
  • Write SQL queries for data extraction and validation.
  • Perform data cleansing and quality assurance.
  • Support business reporting and operational analytics.
  • Identify trends, patterns, and actionable insights.
  • Collaborate with business and technical teams.
  • Document data requirements and reporting processes.
  • Assist with ad hoc reporting and analytical requests.

Requirements

We are seeking a motivated Data Analyst to support business reporting, data analysis, and decision-making initiatives. This opportunity is ideal for entry level candidates as well as professionals with up to 8 years of experience who have a solid foundation in SQL, Excel, and data visualization.

Candidates should be comfortable working with large datasets, preparing reports, identifying trends, and collaborating with business stakeholders., * 0-8 years of experience in Data Analysis or related field.

  • Strong SQL skills.
  • Advanced Microsoft Excel knowledge.
  • Experience with data reporting and visualization.
  • Power BI or Tableau experience is preferred.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor''s degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.

Preferred Qualifications

  • Power BI or Tableau.
  • Basic Python or R knowledge.
  • Exposure to ETL or Data Warehousing concepts.
  • Internship or project experience in data analytics.

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