This range is provided by Vaco. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
We are seeking a detail-oriented and analytical Data Analyst to join our team in South Charlotte, NC. This role is 100% onsite, five days a week, and requires hands-on experience with Alteryx, Redshift, Excel, and Snowflake. The ideal candidate will have 2-5 years of experience working with data analytics, reporting, and database management to drive business insights.
Key Responsibilities:
- Extract, transform, and analyze data using Alteryx, Redshift, Snowflake, and Excel.
- Develop and maintain dashboards and reports to support business decision-making.
- Collaborate with cross-functional teams to identify trends and opportunities for process improvement.
- Optimize and automate data workflows to improve efficiency.
- Ensure data accuracy and integrity across multiple data sources.
- Present findings and insights to stakeholders in a clear and actionable manner.
Qualifications & Skills:
- 2-5 years of experience in data analytics or a related field.
- Proficiency in Alteryx for data preparation and automation.
- Experience with AWS Redshift and Snowflake for database querying.
- Advanced Excel skills (PivotTables, VLOOKUP, Macros, etc.).
- Strong SQL skills for data extraction and manipulation.
- Ability to work onsite in South Charlotte, NC, five days a week.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to present data insights effectively.
Preferred Qualifications:
- Experience with visualization tools like Tableau or Power BI.
- Knowledge of Python or R for advanced analytics.
- Background in finance, healthcare, or retail analytics.
Why Join Us?
- Competitive salary and benefits package.
- Opportunity to work with a dynamic and data-driven team.
- Career growth and professional development opportunities.
If you meet the above qualifications and are ready to take on a challenging yet rewarding role, apply today!
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet