Job Description
Are you a detail-oriented data enthusiast looking for a role that values your time and offers financial stability? Cleveland Analytics Group is seeking a Senior Data Analyst to join our dynamic team. We pride ourselves on delivering actionable insights that drive business growth, and we are proud to offer a competitive salary structure with weekly pay to ensure our team members are rewarded for their hard work immediately.
As a Data Analyst with us, you will play a pivotal role in transforming raw data into strategic assets. Whether you are optimizing supply chains, improving customer experiences, or forecasting market trends, your work will directly impact our bottom line. We are looking for a self-starter who thrives in a fast-paced environment and can communicate complex data stories to non-technical stakeholders.
Why Join Our Team?
- Weekly Payroll: Get paid every week, not bi-weekly or monthly.
- Competitive Benefits: Comprehensive health, dental, and vision insurance packages.
- Career Growth: Clear pathways for advancement and professional development.
- Modern Tools: Work with the latest SQL databases and visualization software.
Responsibilities
- Data Collection & Cleaning: Gather, clean, and validate large datasets from various sources to ensure accuracy and integrity.
- Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and correlations within the data.
- Reporting & Visualization: Create interactive dashboards using tools like Tableau or PowerBI to present findings to executive leadership.
- SQL Development: Write optimized SQL queries to extract data and build scalable data models.
- Business Intelligence: Collaborate with cross-functional teams to define key performance indicators (KPIs) and track progress.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- Experience: 2+ years of professional experience in data analysis or a related role.
- Technical Skills: Proficiency in SQL, Python, R, or SAS is required.
- Tools: Strong working knowledge of Excel and experience with data visualization platforms.
- Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.