Job Description
Are you a data-driven professional looking for a role that offers flexibility and impact? Apex Data Systems is seeking a highly skilled Data Analyst to join our elite Fresno team. We pride ourselves on being a top-tier technology provider, and we are looking for someone who can turn complex data into clear, actionable strategies.
In this role, you will be responsible for analyzing vast datasets, creating dynamic visualizations, and providing critical insights that drive business growth. The best part? You will enjoy a stable weekend shift schedule, allowing you to maximize your free time during the week.
Why You'll Love Working With Us:
- Impactful Work: Play a key role in decision-making processes for major industry clients.
- Flexibility: Enjoy your weekends free while maintaining a full-time, high-earning career.
- Modern Tech Stack: Work with the latest tools including Python, SQL, and cloud-based BI platforms.
Responsibilities
- Data Management: Collect, clean, and validate data from various sources to ensure high-quality analysis.
- Visualization: Design and maintain interactive dashboards in Tableau and Power BI to track KPIs and performance metrics.
- Reporting: Generate comprehensive weekly and monthly reports for stakeholders to support business planning.
- Analysis: Conduct deep-dive statistical analysis to identify trends, anomalies, and opportunities for optimization.
- Cross-Functional Collaboration: Partner with product and engineering teams to define data requirements and solve complex problems.
- Process Improvement: Identify inefficiencies in data workflows and propose automation solutions to streamline operations.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Experience: Minimum of 3-5 years of professional experience in data analysis or business intelligence.
- Technical Skills: Proficiency in SQL for database querying and Python or R for data manipulation.
- Tools: Strong hands-on experience with BI tools such as Tableau, Power BI, or Looker.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical audiences.
- Attention to Detail: A meticulous approach to data accuracy and a strong problem-solving mindset.