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Data Analyst

MACHINE LEARNING TECHNOLOGIES LLC
Richmond, VA Full Time
POSTED ON 10/30/2026 CLOSED ON 11/12/2026

What are the responsibilities and job description for the Data Analyst position at MACHINE LEARNING TECHNOLOGIES LLC?

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Job Description

Job Overview

  • Job ID:

J53552

  • Job Title:

Data Analyst

  • Location:

Richmond, VA

  • Duration:

12 Months Extension

  • Domain Exposure:

Telecom

  • Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

  • Client:

To Be Discussed Later

  • Employment Type:

W-2, 1099, C2C

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Job Summary

We are seeking an experienced Data Analyst to collect, analyze, interpret, and visualize business data to support data-driven decision-making. The ideal candidate should have strong expertise in SQL, Excel, Python, data visualization tools, and reporting.

Key Responsibilities

  • Collect, clean, validate, and analyze data from multiple sources.
  • Develop dashboards, reports, and data visualizations.
  • Write complex SQL queries to extract and manipulate data.
  • Identify trends, patterns, and business insights.
  • Work with business stakeholders to understand data requirements.
  • Perform data quality checks and resolve data discrepancies.
  • Prepare reports and present analytical findings to management.
  • Collaborate with data engineering and business intelligence teams.
  • Automate recurring reports and improve data analysis processes.

Required Technical Skills

  • Strong SQL and database querying experience.
  • Advanced Microsoft Excel skills.
  • Experience with Power BI or Tableau.
  • Knowledge of Python for data analysis.
  • Strong understanding of data modeling and data validation.
  • Experience with ETL processes and data warehousing.
  • Knowledge of statistical analysis and data interpretation.
  • Strong communication and problem-solving skills.

Apply Now

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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