Job Description
Join Apex Data Systems, a leading innovator in the tech sector, where we are redefining how businesses leverage data for strategic growth. We are seeking a highly skilled and analytical Senior Data Analyst to join our dynamic team in San Antonio.
In this pivotal role, you will act as the bridge between raw data and high-level business strategy. You will own our data visualization pipelines, drive decision-making processes, and mentor junior analysts. If you are passionate about uncovering hidden trends and driving tangible business outcomes, this is your opportunity to work with the best.
Responsibilities
- Strategic Data Analysis: Design and execute complex data analysis projects to support executive decision-making and operational improvements.
- Visualization & Reporting: Develop interactive dashboards and comprehensive reports using tools like Tableau and Power BI to communicate insights effectively to stakeholders.
- Database Management: Query large datasets using SQL and Python to extract, clean, and transform data for analysis.
- Process Optimization: Identify bottlenecks in current data workflows and implement automated solutions to enhance efficiency.
- Collaboration: Partner with cross-functional teams (Product, Marketing, Engineering) to define key performance indicators (KPIs) and track progress.
- Modeling: Build predictive models and statistical analyses to forecast market trends and user behavior.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 4+ years of professional experience in data analysis, business intelligence, or a similar role.
- Technical Skills: Advanced proficiency in SQL (PostgreSQL/MySQL), Python (Pandas, NumPy), and visualization tools (Tableau or Power BI).
- Statistical Knowledge: Strong understanding of statistical principles, A/B testing, and data mining techniques.
- Communication: Exceptional ability to translate complex data findings into clear, actionable insights for non-technical audiences.
- Tools: Familiarity with cloud platforms (AWS/Azure) and ETL processes.