Data Analyst

Winaxis LLC; Lewes (DE); On-site; USD 60,000 - 80,000; Full time

Job summary

Winaxis LLC is seeking a detail-oriented Data Analyst in Lewes, Delaware to transform raw data into actionable insights that support key business decisions. The role involves collecting and analyzing large datasets and presenting data-driven recommendations.

The ideal candidate will have strong SQL and Excel skills, with the ability to build dashboards using Power BI or Tableau. A degree in a related field is required.

Qualifications

• Strong skills in SQL, Excel, and data visualization tools.
• Working knowledge of Python or R is preferred.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Build dashboards and reports using Power BI, Tableau, or similar tools.
• Identify trends, patterns, and opportunities through data analysis.
• Write SQL queries for data extraction and manipulation.
• Present findings clearly to stakeholders.

Skills

SQL

Excel

Power BI

Tableau

Python

R

Education

Degree in Data Science, Statistics, Computer Science

Tools

Power BI

Tableau

Job description

We’re looking for a detail-oriented Data Analyst to transform raw data into actionable insights that support key business decisions. You’ll work with cross-functional teams to analyze trends, build dashboards, and present data-driven recommendations.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Build dashboards and reports using Power BI, Tableau, or similar tools.
• Identify trends, patterns, and opportunities through data analysis.
• Write SQL queries for data extraction and manipulation.
• Present findings clearly to technical and non-technical stakeholders.

Skills & Qualifications

• Strong skills in SQL, Excel, and data visualization (Power BI, Tableau).
• Working knowledge of Python or R is a plus.
• Excellent analytical, problem‑solving, and communication skills.
• Degree in Data Science, Statistics, Computer Science, or related field.