Collect and analyze performance data and trend analysis from the data appropriate reports for the technical team members; develop a reporting procedure that allows you to standardize your findings in appropriate communication / presentation / documentation medium like a Sport Data Analyst.
Programming with Python to perform simple and complex statistical analysis of large datasets.
Performing SQL queries and web-scraping to explore and extract data from databases and websites.
Performing efficient data analysis from scratch and to deliver finished product.
Building insightful visualizations to get a comprehensive and intuitive representation of market and trader data.
Working with timeseries data, data cleaning and back-testing. Simulation, optimization and using statistical techniques (Auto-Regression, Auto-Correlation, and Principal Component Analysis).
Requirements
Education Qualifications
A degree in computer science or a related field.
Work Experience
We seek for self-motivated, curious, and highly driven individuals. This opportunity is open for everyone from recent college grads to the professionals with relevant experience.
Skill Set
A strong background in data structures, algorithms, and programming languages categorically, Python and R.
Solid data mining and analysis skills (especially time-series data), including experience dealing with a large amount of data.
Strong MS Excel skills including VBA.
Background in data visualization.
Exceptional problem-solving abilities.
Strong communication skills while being humble and respectful.
Working knowledge of Linux will be an advantage.
Knowledge of any other development language, including Java, or Perl and Shell scripts will be a plus.
Knowledge of Microsoft end user programs like Power BI, Share Point etc.
Basic knowledge of quantitative finance and statistics will be another plus.