Barclays- Data Analyst
The Barclays recruitment process begins with a timed online aptitude screening, followed by a technical round covering SQL queries, Python data manipulation, and analytical case studies. The final HR round evaluates communication skills and cultural fit. Candidates report the process is moderately challenging and smooth with strong preparation in core data concepts.
Barclays fosters a collaborative, learning-driven work environment focused on innovation and continuous skill development. Employees benefit from clear career advancement paths, regular technical workshops, and a balanced lifestyle supported by flexible hours and hybrid/remote work models.
Education: B.Tech/B.E., B.Sc., B.Com, MCA graduates from any background with a minimum 60% aggregate or equivalent CGPA. Eligible Batches: 2023, 2024, 2025, and 2026 graduates. Requirements: No active backlogs at joining; strong analytical abilities and effective communication skills.
Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & concepts) → Round 3: HR Interview
Barclays is a premier global financial institution with a strong operational footprint in India, particularly within its Pune technology hub. The organization emphasizes an inclusive, innovation-driven work culture supported by robust talent development programs, structured mentorship, and continuous learning opportunities across financial technology and analytics. The India Technology & Analytics Division plays a critical role in global banking operations, driving key initiatives in risk assessment, fraud detection, customer intelligence, and digital transformation. Team members regularly collaborate with cross-functional stakeholders—including data scientists and product managers—to build analytical solutions that directly shape business strategy. The Data Analyst position is tailored for fresh graduates and early-career professionals (0–2 years of experience). Based in Pune, you will extract, transform, and load (ETL) data from diverse systems, build reliable data pipelines, and develop interactive dashboards to enable data-driven decision-making. Working alongside senior data engineers and analysts, you will ensure data accuracy, build predictive models, and deliver actionable insights. Key Responsibilities Analyze and resolve data quality issues while documenting data sources and lineage. Design and deploy automated data pipelines for scalable data processing. Utilize advanced statistical and analytical techniques to extract insights from large datasets. Construct and validate logical data models aligned with business requirements. Translate complex findings into strategic recommendations for business process optimization. Develop interactive reports and visual dashboards using tools like Tableau and Power BI. Automate scheduled and ad-hoc reporting processes for internal stakeholders. Partner with product, data engineering, and business teams to define data specifications. Explore and implement relevant AI/ML methods to solve complex business challenges. Maintain data governance standards and participate in peer code reviews. Tech Stack Python, SQL, Pandas, NumPy, Tableau, Power BI, Git, AWS (S3, Glue), Airflow, Snowflake, scikit-learn. Growth & Career Path Barclays offers clear internal mobility and leadership training. High-performing analysts can advance into Senior Analyst, Data Engineer, or Business Analyst roles, with future pathways leading to Data Science or Management positions.
🔔 Apply before 24 Sep 2026 — 28 days remaining