Conducting complex data analysis to extract meaningful insights and support decision-making processes
Developing algorithms and predictive models using machine learning techniques to enhance data-driven insights
Utilizing Python and statistical analysis software for data modeling and validation tasks
Building and maintaining data pipelines to ensure seamless data integration and management
Creating interactive dashboards and visualizations using Power BI and Tableau to communicate data findings effectively
Collaborating with teams to conduct analytic research and customer analysis for business improvement
Implementing data security measures to protect sensitive information and maintain data integrity
Engaging in exploratory data analysis to identify trends and patterns within large datasets
Supporting client engagements by applying business data analytics techniques to address specific needs
Requirements
Currently pursuing or have completed a Bachelor's degree
Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics
Preference for a 3.3 overall GPA
Demonstrating proficiency in Python and machine learning
Utilizing Power BI and Tableau for data visualization
Conducting complex data analysis and predictive analytics
Developing data-driven insights for client support
Engaging in algorithm development and data modeling
Excelling in data security and validation techniques
Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Benefits
medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave
annual discretionary bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismachine learningPythonstatistical analysisdata modelingpredictive analyticsdata pipelinesdata securityalgorithm developmentdata validation