Job Description
Are you ready to take your career to the next level?
Apex Data Solutions is seeking a highly skilled Senior Data Analyst to join our dynamic team in Riverside, CA. We offer a competitive compensation package, a high-paying salary, and a culture that values innovation and data-driven decision-making.
In this role, you will be the architect of our analytical strategy, transforming raw data into actionable insights that drive business growth. You will collaborate with cross-functional teams to solve complex business problems and optimize operational efficiency.
Why Join Us?
- High Salary & Comprehensive Benefits Package
- Hybrid Work Model (3 days in-office in Riverside)
- Professional Development & Certification Support
- Modern Tech Stack & Collaborative Environment
Responsibilities
- Design, develop, and maintain complex SQL queries and ETL processes to extract and clean data from various sources.
- Create interactive dashboards and visualizations using Tableau or PowerBI to track key performance indicators (KPIs) and business metrics.
- Perform advanced statistical analysis and predictive modeling to identify trends, patterns, and opportunities for optimization.
- Partner with stakeholders to define data requirements and communicate complex analytical findings in a clear, concise, and compelling manner.
- Automate reporting workflows to increase efficiency and reduce manual data entry errors.
- Ensure data quality, integrity, and security across all data platforms.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field (Master’s degree preferred).
- 3+ years of professional experience as a Data Analyst or Data Scientist.
- Advanced proficiency in SQL (PostgreSQL, MySQL, or Oracle) and Python (Pandas, NumPy).
- Strong experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent problem-solving skills and the ability to translate business needs into technical solutions.
- Strong communication skills with the ability to present data to non-technical audiences.