Data Analyst

Overview

As a Data Analyst at Barclays, you will enable data-driven strategic and operational decision-making by extracting actionable insights from large datasets, performing statistical and advanced analytics, and presenting findings through clear visualisations and reports. You will support infrastructure and deployment pipeline evolution while driving innovation and operational excellence.

What you'll do

• Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification.
• Document data sources, methodologies, and quality findings with recommendations for improvement.
• Design and build data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations.
• Develop validated logical data models and translate insights into actionable business recommendations.
• Identify opportunities for operational and process improvements, leveraging machine learning and AI.
• Design and create interactive dashboards and visual reports and automate reporting processes for regular and ad-hoc stakeholder needs.
• Partner with business, technology, risk, finance, operations, and data teams to define analytical requirements, success measures, and data-driven solutions.
• Design, enhance, and govern dashboards, reports, scorecards, and analytical frameworks supporting performance management, operational oversight, risk mitigation, and strategic initiatives.
• Conduct deep-dive analysis to identify trends, anomalies, root causes, opportunities, and risks, translating findings into clear narratives for senior stakeholders.
• Ensure analytical outputs are accurate, complete, controlled, and aligned with data quality, governance, privacy, security, and regulatory expectations.
• Provide subject matter expertise on data interpretation, metric definition, business logic, and analytical best practice.
• Identify opportunities to simplify reporting, automate manual analysis, improve data quality, and enhance stakeholder self-service capability.
• Lead analytical workstreams or small teams where required, guiding priorities, reviewing outputs, supporting professional development, and ensuring delivery against agreed objectives.
• Take responsibility for end-to-end quality of analytical deliverables, including requirements capture, data sourcing, validation, interpretation, presentation, and stakeholder sign-off.
• Escalate breaches of policies, procedures, data quality standards, controls, or regulatory expectations appropriately and in a timely manner.
• Advise and influence decision-making by presenting clear evidence, options, trade-offs, and recommendations.
• Promote responsible data usage, effective documentation, reproducible analysis, and insight-led decision-making.

What you'll need

• Experience delivering analytical outputs that convert complex data into clear insight, recommendations, and measurable business value.
• Experience cleaning and preparing data with accuracy.
• Experience using Excel and spreadsheets to organise and study information.
• Experience working with SQL to manage and query databases.
• Knowledge of statistical methods to understand patterns.
• Ability to create clear visuals and explain insights in a simple way.
• Experience using programming tools such as Python or R for deeper analysis.
• Strong technical and business knowledge across data analysis, reporting, visualisation, data quality, metric design, and business performance interpretation.
• Understanding of the underlying principles, concepts, and drivers within the relevant business area.
• Ability to deliver high-quality analytical work in a timely manner, applying sound judgement, attention to detail, and a continuous improvement mindset.
• Ability to take responsibility for managing risk and strengthening controls in relation to owned or contributed work.
• Ability to communicate complex, sensitive, or technical information clearly and accessibly to different audiences.
• Ability to make evaluative judgements based on factual information, analytical evidence, business context, and appropriate challenge of data limitations or assumptions.
• Ability to resolve problems by applying analytical expertise, business understanding, and precedent, escalating complex or material issues as required.
• Ability to deliver work in line with relevant rules, regulations, standards, and codes of conduct.

Details

• The role is based out of Pune.
• Employment type is not stated.