Job Description
Are you a recent graduate looking to launch a career in data analytics? Austin Data Dynamics is seeking a driven and detail-oriented Junior Data Analyst to join our innovative team. In this role, you will support our data-driven decision-making processes by transforming raw data into actionable insights. We offer a collaborative environment where your growth is our priority, providing mentorship and exposure to real-world projects in one of Texas's most vibrant tech hubs.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Flexible work environment and remote work options.
- Professional development and certification reimbursement.
- Be part of a diverse and inclusive culture.
Ready to start your journey? Apply today!
Responsibilities
- Collect, clean, and interpret large sets of raw data to identify trends and patterns.
- Design and maintain interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs) for stakeholders.
- Collaborate with cross-functional teams to understand business requirements and translate them into data queries and reports.
- Perform statistical analysis and data mining to support business forecasting and strategic planning.
- Ensure data accuracy and integrity by conducting regular audits and quality checks.
- Prepare clear and concise documentation of data sources, methodologies, and findings.
- Assist in the development and implementation of new data tracking systems.
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proficiency in SQL for querying databases and extracting information.
- Strong working knowledge of Microsoft Excel, including pivot tables and advanced formulas.
- Familiarity with programming languages such as Python or R is a plus.
- Experience with data visualization tools (Tableau, Power BI, or Looker) is highly desirable.
- Excellent analytical problem-solving skills and attention to detail.
- Strong verbal and written communication skills to present complex data findings to non-technical audiences.