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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
N//A
Most Accounting & Finance Jobs posts in Bangalore ask for 3–6 years of experience (40% of 639 that say).
From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 259 posts).
The post asks for 8 Yrs experience.
In Bangalore.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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