Data Analyst/Senior Data Analyst
RESPONSIBILITIES:
- Consulting with internal customers (e.g., Marketing) to develop analysis and frame actionable insights that help the management in decision making.
- Wrangling data from multiple sources (including but not limited to): sales, product, player events, and customer/player databases, to create integrated views that can be used to drive decision making.
- Working with several large and complex SQL databases.
- Designing and building reports and analytical dashboards.
- Perform statistical analysis and A/B tests in events of new feature or content releases.
- Routinely keep an eye on anomalies in the game data and provide reasoning for the same.
QUALIFICATIONS:
- 3-5 years of experience in Data Analytics./li>
- Profile –Degree (Bachelors/ Masters) in Computer Science/ IT; Engineering; Information Systems; Math’s/Statistics./li>
- Highly analytical data junkie who enjoys business analysis by using data interpretation skills – but doesn’t want to be a software engineer./li>
- Positive, people-oriented, and energetic attitude./li>
- Self-starter and curious who sees information as a tool to find answers to business questions/li>
- Analytical, creative, and innovative approach to solving problems/li>
- Strong written and verbal communication/li>
TECH SKILLS:
- Highly proficient in SQL with ability to write efficient queries and taking data from multiple data-sets as and when required.
- Should have a strong working knowledge in Excel and proficiency in R/Python for automation purposes.
- Any visualization tool (Tableau preferred).
- Machine learning algorithm – individual who has developed a model by using machine algorithm will be an added advantage.
- Tools -Any Big data knowledge (e.g. Hadoop, Spark) will be an added advantage.