Location: We are a remote-first company that offers a limited number of remote positions for this job profile.
Time Commitment: This internship requires a part-time commitment of 20 hours per week.
Internship Duration: Part-time internships extend for a 12-week period.
Responsibilities for this position:
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Ability to analyze existing tools and databases and provide software solution recommendations.
Ability to translate business requirements into non-technical, lay terms.
Proactively look for opportunities to improve the business outside of the specific questions asked and understand how to influence the organization to make the needed changes
Desired skills for data analyst include:
Advanced statistical modelling
Data science techniques
Desired experience for data analyst includes:
Pursuing undergraduate or graduate Computer Science degree with at least 2 years programming experience
Experience analyzing large data sets, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis, CART, and CHAID segmentation
In-depth practical knowledge of statistical analysis software, preferably either R/ Python/ Sas
Knowledge of relevant data frameworks desired
Experience managing outside data analytics vendors a strong plus
1+ years of experience with SAS, SPSS, Python, R, SQL and data modeling experience
Ability to work in South Asian time zones
You have a strong analytical background (Mathematics / Machine Learning)