• Analyze and interpret complex data, transforming it into actionable insights that can drive informed decision-making within organization.
• Involves in schema and architecture design, developing data pipelines, ensuring data quality, and using effective tools to extract meaningful patterns and trends from large datasets.
  

• Clearly communicate technical concepts and data insights to both technical and non-technical audiences, provide valuable information that helps to improve business strategies and outcomes.
  

• Data Analysis: Analyzing large datasets to conduct in-depth data analysis to extract and derive meaningful insights and trends.
• Data Visualization: Creating clear and effective visualizations to communicate insights with business teams.
  

• Create metadata for datasets to facilitate data discovery and understanding by users.
  

• Collaborate with business teams or management teams to establish business needs by recommending solutions and delivering insights to increase productivity.
  

• Coordinate with cross-functional teams and stakeholders to understand business requirements, design and implement data products, and monitor outcomes to provide additional value to the organization.
  

• Develop and implement strategies to enhance data reliability and source ability.
  

Bachelor Degree - Bachelor degree or above in Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.


Preferred level of Experience (by years/function/industry):

• A min. of 0-3 years experience (banking & insurance experience is a plus)
  

• Knowledge of relational databases and a good command of SQL
  

• Understanding of basic data pipeline design, including data extraction, transformation, and loading processes.
  

• Strong analytical and problem-solving skills.
  

Other skills required:

• Proficiency in programming languages: SAS, Python, SQL etc.
  

• Big Data Technologies: Hands-on experience with Hadoop, Spark or similar technologies for large-scale data processing.
  

• Data Quality and Testing: Understanding of data quality checks, monitoring, and testing procedures.
  

• Basic knowledge of data visualization tools (e.g. Tableau, Power BI).
  

• Understanding of statistical analysis, machine learning concepts, modeling conceptual ideas and database management.
  

Dental, Education support, Miscellaneous allowance, Medical, Loans, Sports (e.g. Gym), Parking, Vision, Regular hours, Mondays - Fridays, Casual Business Wear, Performance Based Rewards