Data Analyst
Job Summary
Job Description
- 10+ years Data Analyst experience
- API contract agreement expertise
- Data profiling & mapping skills
- SQL, Mongo DBI, Postman, MDM & ETL proficiency
- Excellent communication & presentation skills
- JIRA & Confluence experience
- Data-led customer transformation experience
- Banking domain knowledge
- Data quality measure definition
- Agile methodology familiarity
8 skills required
Job Details
Project description
This project aims to leverage a hybrid professional with a strong foundation in Data Analytics. The role focuses on optimizing data processes, building efficient pipelines, and translating data insights into actionable business strategies for stakeholders.
Responsibilities
Data Analysis and Engineering:
ETL Development: Design, develop, and optimize ETL processes to ensure smooth data flow from source to target systems, leveraging tools like SQL, Informatica, and Spark.
Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs.
Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations.
Source to Target Mapping: Work closely with the data engineering team to map data from various sources to target systems, ensuring accurate data transformations and alignment with business logic.
Skills
Must have
10 + Years of Overall experience in handling Data Analyst roles.
Experience in agreeing API contracts with consumers
Clear understanding of Data Profiling and how to drive data definitions & data mapping
Experience in documenting Feed Specs
Technical skills – SQL, Mongo DBI, Post Man, MDM & ETL
Good communication/Presentation skills (PPT & external stakeholder Management)
User stories
Creation, Capturing acceptance criteria, validating Functional Test scenarios in JIRA & experience using Confluence
Experience in leveraging Data led Customer transformation
Experience in the Banking domain
Experience in defining Data Quality Measures, Op Model & Op Model to Manage data quality exceptions
Nice to have
Familiarity with Agile or other project management methodologies.
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
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About The Company
Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.
DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
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