Techno-Functional Data Analyst

DXC Luxoft

Chennai

On-site

INR 4,200,000 - 6,000,000

Full time

3 days ago
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Job summary

Luxoft seeks a Techno-Functional Data Analyst with Banking/Financial Services expertise to join a Commercial/CORPORATE Banking delivery programme in Chennai. The role sits at the intersection of business and data, translating requirements into data mappings while ensuring data accuracy across APIs, JSON feeds, and database structures.

You will analyse data across systems, perform profiling/reconciliation, and communicate findings clearly to stakeholders in an Agile environment.

Qualifications

  • 8+ years of overall industry experience.
  • 5+ years relevant experience in Banking/Financial Services.
  • Strong SQL and data-analysis skills; ability to analyse data across multiple sources.
  • Experience translating business rules into data requirements and mappings.

Responsibilities

  • Analyze data across multiple tables/sources to answer business questions.
  • Translate business requirements into data mappings and data-quality analyses.
  • Perform data profiling, reconciliation and source-to-target analysis.
  • Collaborate with BAs, Developers, Architects and Data Eng teams on data issues.
  • Document analysis, mappings and decisions in Agile tooling (JIRA/Confluence).

Skills

SQL
Data analysis
Banking FS
Stakeholder comm
Agile
JIRA
Confluence

Tools

JSON
APIs

Job description

Project description

We are seeking a Techno-Functional Data Analyst with strong Banking and Financial Services expertise to join a Commercial / Corporate Banking delivery programme. Sitting at the intersection of business and data, you will investigate and analyse data across multiple systems, tables and sources, translate business requirements and rules into clear data requirements and mappings, and ensure that data flowing through the banking landscape is accurate, well-understood and fit for purpose.This is a hands‑on, delivery‑focused role suited to an analyst who combines strong SQL and data‑analysis skills with a solid grasp of technical concepts — APIs, interfaces, database tables, JSON and batch/data feeds — and the communication skills to explain technical and data findings clearly to business stakeholders.

Responsibilities
  • Data analysis & requirements:Investigate and analyse data across multiple tables and sources, using strong SQL to answer business and delivery questions.Understand business requirements and business rules and translate them into clear data requirements and mappings.Perform data mapping, source-to-target analysis, data profiling, reconciliation and data-quality analysis.Analyse upstream and downstream impacts when data sources, attributes or mappings change.Technical understanding & data flows:Develop and maintain a good understanding of databases, data structures and data models.Understand data sourcing and end-to-end data flows across applications.Work comfortably with technical concepts such as APIs, interfaces, database tables, SQL, JSON and batch/data feeds.Validation & issue resolution:Validate business calculations, transformations, field mappings and data behaviour against requirements.Investigate data issues and work with BAs, Developers, Architects and Data Engineering teams to identify and deliver solutions.Collaboration & communication:Collaborate within an Agile delivery team, capturing analysis, mappings and decisions in JIRA and Confluence.Communicate technical and data findings clearly and concisely to business stakeholders.

SKILLS
Must have
  • 8+ years of overall industry experience.5+ years of relevant experience.Strong experience in Banking / Financial Services, preferably Commercial or Corporate Banking.Strong SQL and data analysis skills, with the ability to investigate and analyse data across multiple tables and sources.Good understanding of databases, data structures and data models.Experience in data mapping, source-to-target analysis, data profiling, reconciliation and data-quality analysis.Ability to understand business requirements and business rules and translate them into data requirements and mappings.Ability to analyse upstream and downstream impacts when data sources, attributes, or mappings change.Good understanding of data sourcing and end-to-end data flows across applications.Ability to investigate data issues and work with BAs, Developers, Architects and Data Engineering teams to identify solutions.Experience validating business calculations, transformations, field mappings, and data behaviour.Comfortable understanding technical concepts such as APIs, interfaces, database tables, SQL, JSON and batch/data feeds.Strong analytical and problem-solving skills, with the ability to communicate technical/data findings clearly to business stakeholders.Experience with Agile, JIRA, and Confluence.

Nice to have

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