Job Role: Data Analyst Location: Charlotte, NC Day 1 Onsite Job Type: Contract
Interview: Face-to-Face Interview Required Job Summary
We are seeking an experienced Data Analyst to support and ensure the quality, accuracy, and reliability of Spectrum Reach data. The ideal candidate will investigate and resolve data-related issues reported by data partners, applications, and other data consumers.
The candidate will also serve as a bridge between business and technical teams, requiring strong technical, analytical, troubleshooting, and communication skills. Knowledge of AI tools and technologies to improve productivity and velocity is highly desirable.
Primary Skills
- Snowflake
- SQL
- Python
- ETL
- Unix / Unix Shell Scripting
- Data Quality & Validation
Required Qualifications
5+ years of experience with SQL, including:
- Writing complex and ad hoc SQL queries
- Data analysis
- Data validation
- Data quality assessment
- 5+ years of experience working in an enterprise environment
- 3 5 years of programming experience, preferably with Python
- Strong experience with Unix/Linux shell scripting is a major plus
- Strong analytical and critical-thinking skills with the ability to investigate and resolve complex problems
- Excellent troubleshooting and problem-solving abilities
- Strong attention to detail and data accuracy
- Ability to work effectively in a fast-paced environment
- Self-motivated, proactive, and results-oriented
- Excellent written and verbal communication skills
- Ability to collaborate effectively with technical and business teams
- Strong ability to identify data issues, determine root causes, and recommend solutions
- Preferred Qualifications
- Hands-on experience with Snowflake
- Strong experience with Python
- Experience with Unix/Linux Shell Scripting
- Experience with ETL processes and data pipelines
- Experience with Data Warehousing
- Experience with Data Quality and Data Validation
- Familiarity with AI-assisted tools for improving analysis, troubleshooting, and productivity
Ideal Candidate:The ideal candidate will have a strong combination of SQL, Snowflake, Python, ETL, Unix, and data quality experience, along with excellent analytical and communication skills. The candidate should be comfortable working independently as well as collaborating with business, technical, and data teams.
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