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Information Technology 🏢 Full Time ⭐️ Verified

Weekend Data Analyst

Coastal Insights Analytics
Virginia Beach
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
5 Oktober 2026
Deadline
5 Okt 2027

Job Description

Join Coastal Insights Analytics as a Weekend Data Analyst and transform raw data into actionable insights while enjoying a balanced weekday schedule. Our Virginia Beach team thrives on precision and innovation, and we're seeking a detail-oriented professional to drive our data-driven decision-making processes. This unique weekend shift opportunity offers competitive compensation, flexible scheduling, and the chance to work with cutting-edge analytics tools in a collaborative environment.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical modeling
  • Create interactive dashboards and visualizations using Tableau and Power BI to present findings to stakeholders
  • Develop automated reporting systems to track KPIs and business metrics across departments
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Ensure data integrity through rigorous validation and quality control procedures
  • Present actionable insights to leadership through clear, concise documentation and presentations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proficiency in SQL and Python
  • Advanced knowledge of data visualization tools (Tableau, Power BI, or equivalent)
  • Strong statistical analysis skills with experience in hypothesis testing and regression modeling
  • Experience working with large datasets and database management systems
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Previous weekend shift experience preferred

Required Skills

Data Analysis SQL Python Tableau Power BI Statistical Modeling Data Visualization Excel Business Intelligence

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