Job Description
Join a High-Impact Team with Weekly Pay in North Carolina!
Are you a detail-oriented data analyst looking for a role that offers financial stability with a predictable weekly paycheck? Triangle Analytics Solutions is seeking a talented Data Analyst to join our growing team in Raleigh. We pride ourselves on delivering actionable insights that drive business growth, and we value our employees with competitive compensation and transparent payroll.
In this role, you will bridge the gap between complex data and strategic decision-making. We offer a collaborative environment, modern tools, and the peace of mind that comes with weekly pay cycles.
Why Join Us?
- Weekly Paycheck: Get paid every week, not bi-weekly or monthly.
- Competitive Salary: $65,000 - $85,000 depending on experience.
- Modern Tech Stack: Work with SQL, Python, and Tableau.
- Growth Opportunities: Clear path for career advancement in the Triangle.
Don't miss this opportunity to advance your career in data analytics in the heart of North Carolina.
Responsibilities
- Collect, clean, and process large sets of raw data to identify trends, patterns, and insights.
- Design and develop complex SQL queries and scripts to extract and manipulate data from our databases.
- Create visual dashboards and reports using Tableau or Power BI to communicate findings to stakeholders.
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to understand data requirements.
- Maintain data governance standards and ensure data accuracy and integrity.
- Perform statistical analysis and predictive modeling to forecast business trends.
Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
- 2+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (writing complex queries, joins, subqueries).
- Experience with programming languages such as Python or R.
- Expert knowledge of Excel (Pivot Tables, VLOOKUP, Macros).
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Excellent communication skills to present data-driven insights to non-technical audiences.