Data Analyst SQL and Python

Requirements

• Bachelors degree in Computer Science, Statistics, Mathematics, or a related discipline.
• Preference for an advanced degree (e.g., MS).
• At least 2 years of experience in data analysis or a similar field.
• Professional qualifications, such as Google Data Analytics or Microsoft Certified:
  Data Analyst Associate.
• Exceptional analytical, problem-solving, and communication abilities.
• Capacity to thrive in a dynamic work environment.
• Proficiency in data analysis software, including Excel, SQL, Tableau, or Power BI.
• Familiarity with programming languages like Python, R, or Julia is a plus.
• Understanding of machine learning algorithms and statistical modeling is advantageous.
• Knowledge of cloud technologies, such as AWS or Azure, is desirable.
• Experience with data visualization platforms, like D3.js or Matplotlib, is a bonus.

• Gather, analyze, and interpret intricate data to guide business decisions.
• Develop and uphold databases, data systems, and data workflows.
• Generate data visualizations, reports, and dashboards to convey insights to stakeholders.
• Partner with cross-functional teams, including business stakeholders, data scientists, and IT experts.
• Create and execute data models, algorithms, and statistical analyses to address challenging business issues.
• Remain informed about industry developments, emerging technologies, and innovative tools and methods.

We are a forward-thinking company dedicated to leveraging data to drive impactful decisions. Our team is collaborative and dynamic, and we encourage innovation and growth. We offer competitive benefits and a supportive work environment, where your contributions will directly influence our success. This position is based in a vibrant location, providing a stimulating atmosphere for professional development.