Barclays Hiring: Data Analyst – Pune | Apply Now

Location: Pune, Maharashtra, India
Job Type: Permanent
Qualification: Not Specified
Experience Level: Not Specified
Salary Range: Not Disclosed
Work Mode: Hybrid
Last Date to Apply: Not Specified

About the Role

Barclays Data Analyst Jobs are available in Pune for candidates interested in data analytics, data integration, data quality and business decision-making.

Barclays is hiring for a Data Analyst position within its Corporate Digital Banking business area. The role focuses on enabling data-driven strategic and operational decision-making by analysing large datasets, identifying trends and patterns, and presenting findings through clear visualisations and reports.

The selected candidate will investigate data issues related to quality, lineage, controls and authoritative source identification. The role also involves designing data pipelines, creating source-to-target mapping documents, developing logical data models and supporting data integration activities.

Candidates should have strong analytical and problem-solving skills, attention to detail and the ability to communicate complex information effectively. SQL proficiency, data lineage and metadata management experience are also valued for this role.

Key Responsibilities

• Investigate and analyse data issues related to quality, lineage, controls and authoritative source identification.
• Document data sources, methodologies and data quality findings.
• Provide recommendations for improving data quality and related processes.
• Design and build data pipelines to automate data movement and processing.
• Analyse large datasets to identify trends, correlations and meaningful patterns.
• Apply advanced analytical techniques to support business decision-making.
• Develop validated logical data models for analytical requirements.
• Translate analytical findings into actionable business recommendations.
• Identify opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports.
• Automate reporting processes for regular and ad-hoc stakeholder requirements.
• Create source-to-target mapping documents for data integration projects.
• Support data lineage and metadata management activities.
• Collaborate with other functions and business divisions to achieve business objectives.
• Communicate complex information clearly to stakeholders.
• Support risk management, controls and governance activities related to the work.
• Influence stakeholders and contribute to effective business outcomes.

Qualifications & Skills

• Education: Not specified
• Experience: Not specified
• Technical Skills: SQL for data analysis and validation
• Data Skills: Basic knowledge of data virtualisation, data-as-a-product, and data mesh
• Data Integration: Source-to-target mapping experience
• Data Quality: Data issue analysis and validation
• Data Lineage: Knowledge of lineage and metadata tools
• Analytical Skills: Strong problem-solving and attention to detail
• Reporting: Dashboards and visual reports
• Communication: Strong documentation and communication skills
• Business Skills: Translate business needs into insights
• Risk & Controls: Ability to manage risk and strengthen controls

Preferred Skills

Candidates with knowledge or experience in the following areas may have an advantage:

• SQL: Data validation, analysis, investigation
• Data Virtualisation: Access and manage virtualised data
• Data-as-a-Product: Treat data as a business product
• Data Mesh: Domain-based data ownership basics
• Source-to-Target Mapping: Map data for integration projects
• Data Lineage: Track data from source to use
• Metadata Management: Manage metadata tools and data info
• Data Quality: Identify and fix data issues
• Data Pipelines: Automate data movement and processing
• Logical Data Models: Build or work with data models
• Advanced Analytics: Find trends and patterns in data
• Machine Learning & AI: Basic ML/AI analytics exposure
• Dashboard Development: Create dashboards and visuals
• Reporting Automation: Automate reports and updates
• Data Governance: Ensure data control and compliance
• Stakeholder Communication: Explain insights clearly and influence decisions

Salary & Benefits

• Salary: Not Disclosed
• Employment: Permanent
• Work Arrangement: Hybrid
• Benefits: The official job description does not provide specific salary, bonus, insurance or benefits information.

Note: Salary, benefits, bonuses, incentives and other compensation details have only been included when supported by the official job information. Barclays states that its Pune campus provides facilities and an inclusive working environment, but specific employee benefits are not detailed in the provided job posting.

Selection Process

Barclays states that its application process may include the following stages:

1. Application: Candidates provide information about themselves along with their CV and cover letter.
2. Assessment: Candidates are assessed on behaviours and their ability to perform at work.
3. Interview: The interview explores candidates’ previous experiences and skills.
4. Next Step: Barclays may request additional information to complete the screening process.

Candidates may also be assessed on critical skills relevant to the role, including risk and controls, change and transformation, business acumen, strategic thinking, digital and technology capabilities and job-specific technical skills.

Important Dates

• Date Live: August 19, 2026
• Last Date to Apply: Not Specified

The official job posting does not mention a specific application deadline. Candidates are advised to apply as early as possible.

How to Apply

Candidates can use the application link provided below the Apply Now button to submit their application through the official Barclays careers website. Make sure to review the eligibility requirements and prepare your CV and other requested information before applying.