Job Description
We are seeking a highly skilled and analytical Data Analyst to join our growing team in El Paso, Texas. In this pivotal role, you will leverage data to drive strategic decisions and optimize business operations. We pride ourselves on our commitment to our employees, which includes providing all necessary equipment to ensure you have a seamless work experience.
Key Responsibilities:
- Collect, clean, and validate datasets to ensure high-quality analysis.
- Design and develop complex data models and dashboards using SQL, Python, and visualization tools.
- Translate complex data findings into clear, actionable insights for stakeholders.
- Identify trends, patterns, and opportunities for process improvement.
- Collaborate with cross-functional teams to define data requirements and reporting needs.
- Maintain and update existing reporting infrastructure to reflect changing business needs.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- 2-4 years of professional experience in data analysis or business intelligence.
- Strong proficiency in SQL and experience with data manipulation libraries (Pandas, NumPy).
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
Responsibilities
- Collect, clean, and validate datasets to ensure high-quality analysis.
- Design and develop complex data models and dashboards using SQL, Python, and visualization tools.
- Translate complex data findings into clear, actionable insights for stakeholders.
- Identify trends, patterns, and opportunities for process improvement.
- Collaborate with cross-functional teams to define data requirements and reporting needs.
- Maintain and update existing reporting infrastructure to reflect changing business needs.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- 2-4 years of professional experience in data analysis or business intelligence.
- Strong proficiency in SQL and experience with data manipulation libraries (Pandas, NumPy).
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.