LI
LiteraData Analyst
Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
About the role
- Take complete responsibility for the sprint stories' execution.
- Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.
- Be accountable for the delivery of the tasks in the defined timelines with good quality.
- Follow the processes for project execution and delivery.
- Follow agile methodology.
- Working with the team leads closely and contribute to the smooth delivery of the project.
- Understand/define the architecture and discuss the pros-cons of the same with the team.
- Keep all the stakeholders updated about the project, task status, risks, and issues if any.
Requirements
- 5 - 9 years of professional experience as a Data Analyst
- Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark
- Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration
- Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
- Understanding of ER Diagram and Data Modeling concepts
- Exposure to Data quality validation
- Exposure to Data Management, Data Cleaning and Data Preparation
- Strong SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit & Lending domain knowledge
- Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
- Retail Credit / Traded Credit knowledge - applications will be considered.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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