Data Analyst 12J25

As a Data Analyst, you will be an integral part of our team, responsible for interpreting data and turning it into actionable insights to support strategic business decisions. You will work closely with various departments to understand their data needs, using statistical techniques and software to analyze trends and develop predictive models. Your role will involve collecting, processing, and analyzing large data sets, ensuring data accuracy and integrity, and presenting your findings in a clear and accessible manner. Strong analytical skills and attention to detail will be essential as you transform data into meaningful information that drives efficiency and growth within our organization.

Responsibilities

• Collect, analyze, and interpret complex data sets to drive significant business solutions.
• Work with departmental managers to discern their analytical requirements and data-related objectives.
• Design and develop data systems and lead initiatives for optimization and improvement.
• Utilize statistical methodologies to perform predictive analyses and gauge trend relevance.
• Ensure data quality and integrity by reviewing source data and performing necessary corrections.
• Generate detailed reports to communicate analysis results to non-technical stakeholders effectively.
• Create visual representations of data through charts and dashboards for executive review.
• Maintain and update databases as necessary to ensure accurate and timely data availability.
• Collaborate with other analysts and engineers to improve data usage and process efficiency.
• Develop and support new data models and algorithms to drive innovation and business results.
• Stay current with industry trends and advancements in data analysis technologies and methodologies.
• Conduct performance tuning to enhance system efficiency and data processing capabilities.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a related analytical field.
• Proficiency in data analysis software such as SQL, R, Python, or equivalent tools.
• Strong understanding of statistical analysis and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail are essential.
• Ability to translate complex data into understandable information for business stakeholders.
• Experience with data visualization tools, such as Tableau or Power BI, is preferred.
• Strong organizational skills and the ability to handle multiple projects concurrently.