Job Description
We are seeking a highly analytical and detail-oriented Part-Time Data Analyst to join our growing team in Fort Worth, Texas. In this pivotal role, you will be responsible for interpreting complex data sets to drive strategic business decisions. You will work closely with our operations and marketing teams to uncover trends, optimize processes, and provide actionable insights that directly impact our bottom line. This is a fantastic opportunity for a data enthusiast to contribute to meaningful projects while enjoying a flexible schedule.
Key Highlights:
- Flexible Schedule: Work 20-25 hours per week with a schedule that fits your lifestyle.
- Remote-Hybrid: Enjoy the freedom of remote work with occasional in-office collaboration in Fort Worth.
- Professional Growth: Work with cutting-edge BI tools and mentorship from senior data professionals.
Responsibilities
- Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
- Develop and maintain complex SQL queries and Python scripts to automate data extraction and reporting.
- Create interactive dashboards and visualizations using Tableau or Power BI to track key performance indicators (KPIs).
- Conduct statistical analysis to identify market trends, customer behavior patterns, and operational inefficiencies.
- Collaborate with cross-functional teams to translate data findings into clear, business-focused recommendations.
- Document data models, methodologies, and reporting standards to ensure data governance.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- Proven experience with SQL (PostgreSQL, MySQL, or SQL Server) and Python (Pandas, NumPy).
- Advanced proficiency in Microsoft Excel, including pivot tables, VLOOKUP, and macros.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical mindset with exceptional attention to detail and accuracy.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.