This Data Analyst role focuses on optimizing data processes, building efficient pipelines, and translating data insights into actionable business strategies. Responsibilities include ETL development using SQL, Informatica, and Spark; data profiling to assess data quality; developing real-time data integration pipelines using REST APIs; and source-to-target mapping.  The ideal candidate will have 10+ years of experience in data analyst roles, experience agreeing on API contracts, a clear understanding of data profiling, and strong communication skills. Experience with JIRA and Confluence, data-led customer transformation, and the banking domain is also required. The role involves creating user stories, capturing acceptance criteria, and validating functional test scenarios.

<p><span style="color: rgba(0, 0, 0, 0.6);">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. </span></p>

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                        Project description
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                         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.
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                    <h5>Responsibilities</h5>
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                                Data Analysis and Engineering:
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                                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.
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                                Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs.
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                                Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations.
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                                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.
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                    <h5>Skills</h5>
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                        Must have
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                                10 + Years of Overall experience in handling Data Analyst roles.
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                                Experience in agreeing API contracts with consumers
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                                Clear understanding of Data Profiling and how to drive data definitions &amp; data mapping
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                                Experience in documenting Feed Specs
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                                Technical skills – SQL, Mongo DBI, Post Man, MDM &amp; ETL
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                                Good communication/Presentation skills (PPT &amp; external stakeholder Management)
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                                User stories
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                                Creation, Capturing acceptance criteria, validating Functional Test scenarios in JIRA &amp; experience using Confluence
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                                Experience in leveraging Data led Customer transformation
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                                Experience in the Banking domain
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                                Experience in defining Data Quality Measures, Op Model &amp; Op Model to Manage data quality exceptions
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                        Nice to have
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                                Familiarity with Agile or other project management methodologies.
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                    <h5>Other</h5>
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                                <p class="caption-xs-bold">Languages</p>
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                                    English: B2 Upper Intermediate
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                                <p class="caption-xs-bold">Seniority</p>
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                                    Senior
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