- Salary
- $500k – $1000k
- Type
- Internship
Description
About the Role
The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.
The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO. This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
- Strong experience at working on databases and good at analytical reasoning
- Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
- Must be involved in reconciliation of data sets and components across verticals depending on the need
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with the management to prioritize business and information needs
- Locate and define new process improvement opportunities
Required Skills:
- Proven working experience as a data analyst or business data analyst
- Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
- Technical expertiseregarding 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 skillswith 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
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics