Job Description
We are seeking a highly analytical Data Analyst to join our growing team in Austin, Texas. In this pivotal role, you will leverage data to drive strategic decision-making and improve business performance. We offer competitive compensation and a flexible environment that supports both remote and in-office collaboration.
Key Highlights:
- Competitive base salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Flexible work schedule with hybrid/remote options.
- Professional development and training budget.
Join Apex Data Systems and become a key player in transforming raw data into actionable business intelligence.
Responsibilities
- Data Collection & Processing: Gather, clean, and validate large datasets from various sources to ensure accuracy and integrity.
- Statistical Analysis: Perform complex statistical analysis and modeling to identify trends, patterns, and correlations within the data.
- Visualization: Develop and maintain interactive dashboards and reports using tools like Tableau, PowerBI, or Looker to visualize key performance indicators (KPIs).
- Reporting: Create clear, concise, and executive-level summaries of data findings to support business strategy and operational decisions.
- Collaboration: Partner with cross-functional teams (Marketing, Sales, Operations) to understand their data needs and provide tailored analytical support.
- Process Improvement: Identify areas for process improvement and automation within the data workflow to increase efficiency.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- Experience: Minimum of 3-5 years of professional experience in data analysis or a similar role.
- Technical Skills: Proficiency in SQL (advanced querying), Python or R, and visualization tools (Tableau or PowerBI).
- Communication: Excellent verbal and written communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.
- Problem Solving: Strong analytical mindset and ability to troubleshoot data issues and derive logical conclusions.
- Tools: Experience with big data technologies (Spark, Hadoop) is a plus.