Overview
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Attention To Detail
Visualization
Decision-making
Business Process
Dashboard
Testing
Predictive Modelling
Collaboration
Data Integrity
Workflow
Data Quality
Data Science
Statistics
Computer Science
Mathematics
SQL
Python
R
Business Intelligence
Tableau
Microsoft Power BI
Data Analysis
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Extract
Transform
Load
SANS
Machine Learning (ML)
Predictive Analytics
Job Details
Job Summary:
We are seeking a detail-oriented Data Analyst with strong analytical, technical, and visualization skills. The ideal candidate will use data-driven insights to support decision-making, optimize business processes, and deliver clear, actionable reports through modern BI tools.
Key Responsibilities:
- Collect, clean, and analyze large datasets from various sources using SQL, Python, and/or R.
- Develop dashboards and visualizations in Tableau, Power BI, or Looker to communicate insights effectively.
- Perform statistical analysis, hypothesis testing, and predictive modeling to support business initiatives.
- Collaborate with cross-functional teams to define data requirements and ensure data integrity.
- Translate analytical findings into business insights and recommendations.
- Automate recurring reports and streamline data workflows for efficiency.
- Monitor data quality, performance, and trends to identify improvement opportunities.
Required Qualifications:
- Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
- Proficiency in at least two of the following: SQL, Python, R.
- Experience with one or more BI tools: Tableau, Power BI, or Looker.
- Solid understanding of statistical methods and data analysis techniques.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and data storytelling abilities.
Preferred Qualifications:
- Experience with data warehousing or cloud platforms (AWS, Azure, Google Cloud Platform).
- Knowledge of ETL tools or data pipelines.
- Exposure to machine learning or predictive analytics.
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.