JOB DESCRIPTION

Sendhelper is a mobile first online marketplace that connects homeowners in Singapore with home service providers to provide customised solutions to each household. With over 70,000 customers and a network of more than 2,000 service providers, we are the largest homegrown home service provider in Singapore. We are among the top 50 rising tech-enabled startups in Southeast Asia.

We are looking for a passionate and knowledgeable data analyst intern to join our team. The ideal candidate will be exposed to operations and marketing aspects of the business to gain hands-on experience in developing data analysis and reporting capabilities.

JOB RESPONSIBILITY

Responsibilities

• 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

JOB REQUIREMENT

Requirements

• Graduate or undergraduate degree with training or certification in data analysis
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings