EXPLORE PREMIER
OPPORTUNITIES

Data Scientist

Cyberjin

Software

10-50

Grand Prairie

About the job

Overview:

Description
We are seeking a highly skilled and experienced Data Analyst Specialist to join our team. As a Data Analyst Specialist, you will play a crucial role in analyzing and interpreting complex data sets to deliver actionable insights and recommendations to drive business decisions. You will work closely with stakeholders from various departments to understand their data needs and design analytical solutions to address them.
You should have a solid understanding of data analysis methodologies and possess advanced technical skills in data manipulation, statistical analysis, and data visualization. You will also need to be proficient in using various data analysis tools and have the ability to work with large and complex datasets. Additionally, you should have excellent problem-solving skills and the ability to communicate technical information effectively to non-technical stakeholders.
Responsibilities
Analyze and interpret large and complex data sets to identify trends, patterns, and insights.
Design and implement analytical models and algorithms to solve complex business problems.
Develop and maintain data pipelines for efficient data retrieval, integration, and cleaning.
Collaborate with stakeholders to define data requirements and ensure data accuracy and completeness.
Create and deliver meaningful and insightful data visualizations, reports, and dashboards.
Conduct thorough quality assurance and validation of analytical outputs to ensure accuracy and reliability.
Stay up-to-date with the latest data analysis methodologies and technologies and suggest improvements to existing processes.
Support cross-functional teams by providing data-driven insights and recommendations.
Requirements
Bachelor's degree in a relevant field such as mathematics, statistics, or computer science.
Proven experience as a data analyst or similar role, with a strong track record of delivering impactful insights.
Solid understanding of data analysis methodologies and statistical techniques.
Proficiency in using data analysis tools such as SQL, Python, R, or similar.
Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
Excellent communication skills with the ability to present technical information in a clear and concise manner.
Strong attention to detail and accuracy with the ability to work on multiple projects simultaneously.
Experience in data visualization tools such as Tableau, Power BI, or similar is preferred.