Data Analyst

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Recruiting
Employment Authorization
Data Collection
Dashboard
Database Administration
Reporting
Management
Marketing
Finance
Collaboration
Machine Learning (ML)
Statistical Models
Forecasting
Oracle Linux
SQL
Database
Microsoft Excel
Data Visualization
Microsoft Power BI
Tableau
Statistics
Data Modeling
Python
Data Analysis
Data Cleansing
Extract
Transform
Load
Analytical Skill
Problem Solving
Conflict Resolution
Communication

Job Details

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Job Description:

A Data Analyst collects, processes, and performs statistical analyses on large datasets to help organizations make data-driven decisions. They transform raw data into actionable insights by identifying trends, patterns, and relationships that can guide business strategies and improve performance.


Key Responsibilities:

  1. Data Collection & Cleaning:
    Gather data from various sources (databases, APIs, spreadsheets) and ensure its accuracy, completeness, and consistency.

  2. Data Analysis & Interpretation:
    Use statistical tools and techniques to analyze datasets, identify trends, and interpret results to support business decisions.

  3. Data Visualization:
    Create dashboards and visual reports using tools like Power BI, Tableau, or Excel to present findings in an understandable way.

  4. Database Management:
    Work with SQL databases to extract and manage data efficiently.

  5. Reporting:
    Prepare regular business reports and insights for management, marketing, finance, and operations teams.

  6. Collaboration:
    Work with data engineers, business analysts, and other departments to ensure data-driven solutions align with business goals.

  7. Predictive Analysis (Optional/Advanced):
    Use machine learning or statistical modeling to forecast future trends (if applicable to the organization).



Required Skills:

  • Proficiency in SQL (for querying databases)

  • Strong Excel and data visualization skills (Power BI, Tableau, Google Data Studio)

  • Knowledge of statistics and data modeling

  • Experience with Python or R for data analysis

  • Understanding of data cleaning and ETL processes

  • Excellent analytical thinking and problem-solving ability

  • Good communication skills to explain findings to non-technical stakeholders


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.