Barclays is hiring for a fresher entry level Data Analyst role in India

Position:

• Technical Data Analyst

Company:

• Barclays

Location:

• Pune, India

Job type:

• Permanent

Job mode:

• Hybrid

Job requisition id:

• JR-0000024471

Years of experience:

• Not explicitly mentioned; as per JD, looks like a fresher entry level role

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Company Description

• Barclays is a renowned global financial services provider that operates across banking, investment, and wealth management sectors.

• With a legacy rooted in innovation and trust, Barclays serves millions of customers globally through advanced banking solutions and data-driven strategies.

• Their operations in India, especially in Pune, have grown into one of their most significant technology hubs, offering diverse roles in analytics, operations, and digital transformation.

• Barclays encourages an inclusive and collaborative environment where diversity, equity, and inclusion (DE&I) are actively promoted.

• The Pune campus of Barclays supports over 9,000 colleagues and is designed as a cutting-edge workplace that encourages innovation, learning, and career growth.

• With a footprint that extends across operations, technology, and business functions, the Barclays team in Pune is instrumental in building high-performance banking platforms.

• Employees are empowered with flexible work arrangements, state-of-the-art infrastructure, and access to some of the brightest minds in finance and tech.

• The organization stands firm on its core values of Respect, Integrity, Service, Excellence, and Stewardship, which guide every professional decision and customer interaction.

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Profile Overview

• As a Technical Data Analyst, you will play a pivotal role in supporting data integrity, translating business goals into technical execution, and ensuring that data-driven initiatives deliver measurable results.

• The position demands deep expertise in data analysis, transformation, visualization, and communication, all while collaborating with cross-functional teams in an Agile environment.

• The role involves end-to-end involvement from requirement gathering to delivering technical insights that support business decisions and compliance measures.

• Your key responsibilities will include investigating and addressing data quality issues, preparing data for analytics, and helping automate data workflows to reduce manual dependencies.

• You will also apply advanced analytical techniques including AI/ML, document recommendations for improvements, and contribute to building scalable and high-quality data pipelines.

• Success in this role will depend on your ability to bridge the gap between business requirements and technology implementation, using tools such as Python, SQL, Power BI, and more.

• The role also carries leadership expectations — whether through direct team management or by mentoring peers and influencing stakeholders across teams.

• You'll work within a large and diverse team, collaborating with engineers, business analysts, developers, and global stakeholders to drive digital transformation and operational efficiency.

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Qualifications

• Hands-on experience working in Agile environments, using methodologies like Scrum or Kanban.

• Demonstrated ability to analyze business needs and convert them into actionable, technical stories for development teams.

• Proficiency in Python for data analysis, with comfort in manipulating, cleaning, and transforming datasets.

• Proven expertise in data modeling techniques, including the ability to use industry tools to design logical and physical models.

• Working experience in the banking domain, especially in Wholesale Onboarding or related financial ecosystems.

• Familiarity with Anti-Money Laundering (AML) processes and knowledge of transaction monitoring techniques is a strong plus.

• Experience with SQL, Tableau, Power BI, or similar tools for generating insights through visual dashboards and reports.

• Exposure to cloud platforms like AWS, Google Cloud, or Azure, especially in the context of big data, Spark SQL, or microservices architecture.

• Knowledge of data control techniques and experience working with structured data governance frameworks.

• Strong written and verbal communication skills to collaborate with internal teams and external stakeholders.

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Additional Info

• You will be responsible for maintaining the integrity, quality, and lineage of data, ensuring consistency across systems and teams.

• The role includes performing data cleansing, executing transformation tasks, and building pipelines to support data flow automation.

• You may be expected to work on machine learning or AI-based models to derive predictive or prescriptive analytics.

• Detailed documentation of issues, findings, and solutions will be a regular part of the job, serving as a reference for continuous improvement.

• The position offers an opportunity to lead or mentor team members, guide their development, and coordinate project activities.

• A deep understanding of risk management and compliance will be vital, especially when implementing or adjusting procedures.

• You’ll also play an advisory role in shaping the organization’s data strategy, influencing decision-making within your area of expertise.

• Being proactive, showing initiative, and working with a can-do attitude are crucial behavioral expectations.

• The organization strongly values leadership behaviors, even in individual contributor roles – including listening authentically, inspiring others, aligning with organizational goals, and developing people.

• You will be part of a diverse community where collaboration, transparency, and inclusive behavior are not just buzzwords but embedded in day-to-day culture.

Please click here to apply.

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