Job Description
Are you a detail-oriented data enthusiast looking for a role that offers the perfect work-life balance? Apex Analytics Solutions is seeking a skilled Data Analyst (Weekend Shift) to join our dynamic team in Los Angeles, CA.
In this pivotal role, you will dive deep into complex datasets to uncover trends, generate actionable insights, and support strategic decision-making. We are looking for a self-starter who thrives in a fast-paced environment and is ready to make a significant impact on our weekend operations.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Flexible weekend schedule allowing you to enjoy your weekdays.
- Opportunity to work with cutting-edge data technologies.
- Career growth and development opportunities within a leading firm.
We offer a collaborative culture where your analytical skills are valued and your insights drive real business results. If you have a passion for numbers and a desire to work a schedule that fits your lifestyle, we want to hear from you.
Responsibilities
- Collect, clean, and validate datasets to ensure high-quality analytics and reporting.
- Develop and maintain interactive dashboards using Tableau and Power BI.
- Perform advanced SQL queries to extract and analyze data from various databases.
- Collaborate with cross-functional teams to identify key performance indicators (KPIs) and business drivers.
- Prepare detailed reports and presentations for stakeholders, translating complex data into clear insights.
- Forecast trends and provide data-driven recommendations to support strategic planning.
- Maintain data integrity and ensure compliance with data governance standards.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Finance, or a related field.
- 3+ years of professional experience in data analysis or business intelligence.
- Proficiency in SQL (PostgreSQL, MySQL) and programming languages like Python or R.
- Strong working knowledge of BI tools such as Tableau or Microsoft Power BI.
- Excellent communication skills with the ability to present findings to non-technical audiences.
- Ability to work effectively during weekend shifts and adapt to changing priorities.
- Experience with statistical modeling and data visualization best practices.