Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

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Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

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Job Info

• Job Identification5536
• Posting Date10/20/2025, 05:16 AM
• Job RoleData Management and Analytics-Data Ops/Data Analyst
• Experience (In Years)6-9

Job Description

• 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
• 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.
• Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
• Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
• Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
• Understanding of ER Diagram and Data Modeling concepts
• Exposure to Data quality validation
• Exposure to Data Management, Data Cleaning and Data Preparation
• Exposure to Data Schema analysis.
• Exposure to working in Agile framework.
• 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.

Good To Have

• BFSI Domain knowledge - Data Visualization - Tableau or Qlik Sense - Exposure to Hadoop, Hive and ETL. - Working knowledge of any cloud services like AWS or GCP or Azure. - Any relevant certifications would be a plus.

Responsibilities

Role & Responsibilities

● 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.

● Mapping of business entities to technical attributes with the logic for transformation defined clearly.

● 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.

● Involve in the brainstorming sessions and suggest improvements in the architecture/design.

● Working with other teams leads to getting the architecture/design reviewed.

● Keep all the stakeholders updated about the project, task status, risks, and issues if any.

Qualifications

• Bachelor's/Master's in any stream 2-5 years

Required Skills

• Attention To Consistency
• Cloud Networking
• Cloud Solutions
• Content Migration
• Internal Communications
• Interpersonal Relationship Building
• Leadership Capabilities
• Optimization Techniques
• Pyspark
• Python Programming Language
• SQL Database Technologies
• Working under Pressure

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