Data Analyst - Full Time - Remote & Austin, TX

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.

Key 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.
• Technical

Requirements

• 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.

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