Job Description
Join the Future of Analytics in Oakland
Are you a data-driven problem solver looking to balance your career with a flexible schedule? Apex Data Systems is seeking a talented Part-Time Data Analyst to join our innovative team. We are a leading technology firm based in the vibrant Jack London Square district, dedicated to transforming raw data into actionable business intelligence.
In this role, you will have the unique opportunity to work closely with senior analysts, contributing to high-impact projects that drive decision-making across the organization. Whether you are looking for a work-life balance or a stepping stone into the tech industry, this is your chance to shine.
Why Join Us?
- Flexible Schedule: Enjoy a part-time commitment that respects your personal time.
- Modern Environment: Work in a collaborative, tech-forward office in Oakland.
- Competitive Pay: Earn a competitive hourly rate with potential for performance bonuses.
Don't miss this opportunity to accelerate your career in a role that fits your lifestyle. Apply today to become a part of the Apex family!
Responsibilities
- Perform Data Cleansing: Extract, transform, and load (ETL) large datasets to ensure accuracy and consistency for reporting purposes.
- Develop Dashboards: Create intuitive visualizations using tools like Tableau or PowerBI to track key performance indicators (KPIs).
- Statistical Analysis: Conduct complex statistical analysis to identify trends, patterns, and anomalies within the data.
- Report Generation: Produce comprehensive, clear, and concise weekly and monthly reports for stakeholders.
- Database Querying: Write optimized SQL queries to retrieve specific data points and support ad-hoc analysis requests.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent professional experience).
- Technical Skills: Proficiency in SQL, Python, or R is required; experience with Tableau or PowerBI is highly desirable.
- Attention to Detail: Exceptional ability to spot errors and ensure data integrity in high-volume environments.
- Communication: Strong verbal and written communication skills to present findings to non-technical audiences.
- Flexibility: Ability to work independently and manage time effectively in a part-time capacity.