Job Description
We are seeking a highly analytical Weekend Data Analyst to join our dynamic team in Austin, Texas. This role is critical to our weekend operations, ensuring that our data pipelines run smoothly and our reporting is accurate and actionable.
As a Weekend Data Analyst, you will work during our critical peak hours on Saturdays and Sundays, analyzing trends and generating insights that drive business decisions. We pride ourselves on offering a premium work environment with flexible remote options for eligible candidates.
Why Join Apex Data Systems?
- Competitive salary and comprehensive benefits package.
- Defined weekend schedule ensuring a healthy work-life balance.
- Opportunity to work with state-of-the-art data technologies.
- Supportive and inclusive company culture in the heart of Austin.
Responsibilities
- Execute complex SQL queries and Python scripts to extract, clean, and transform weekend operational data.
- Develop and maintain interactive dashboards using Tableau or Power BI to track key performance indicators (KPIs).
- Generate comprehensive weekly reports summarizing data trends, anomalies, and strategic insights for stakeholders.
- Collaborate with the marketing and product teams to support A/B testing and campaign analysis during weekends.
- Ensure data integrity and accuracy across all reporting databases and warehouses.
- Identify patterns and opportunities for process improvement based on weekend data analysis.
- Communicate complex data findings to non-technical team members clearly and effectively.
Qualifications
- Minimum of 2 years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (PostgreSQL, MySQL, or similar).
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Proficiency in Python or R for data manipulation and analysis.
- Experience with Excel and data modeling principles.
- Excellent problem-solving skills and a keen attention to detail.
- Ability to work independently and meet deadlines in a weekend shift schedule.