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Date live:
Jul. 09, 2025
Business Area:
Corporate Digital Banking
Area of Expertise:
Technology
Reference Code:
JR-0000047730
Contract:
Permanent
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Explore locationStep into the role of Lead Analyst. At Barclays, we are more than a Bank, we are force of progress. As a Lead Analyst you will lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
To be a successful Lead Analyst, you should have experience with:
Data Analysis and Interpretation: Proficiency in analyzing complex data sets and interpreting results to provide actionable insights.
Statistical Knowledge: Strong understanding of statistical methods and their applications in data analysis.
Technical Proficiency & Data Visualization: Expertise in using data analysis tools such as SQL, Python, R, and Excel. Ability to create clear and informative data visualizations using tools like Tableau, Power BI, or similar.
Problem-Solving Skills: Strong analytical and problem-solving abilities to identify trends, patterns, and anomalies in data.
Communication & Leadership skills: Excellent verbal and written communication skills to present findings to stakeholders effectively. High level of accuracy and attention to detail in data analysis and reporting. Experience in leading and mentoring a team of data analysts.
Business Acumen: Strong understanding of business processes and the ability to align data analysis with business objectives
Additional relevant skills given below are highly valued:
Machine Learning: Knowledge of machine learning algorithms and their applications in predictive analytics.
Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or similar.
Domain Knowledge: Understanding of the specific industry or domain in the Data Engineering and Data Analytics in the Financial domain
Data Governance: Knowledge of data governance practices and data quality management.
Advanced Statistical Techniques: Experience with advanced statistical techniques such as regression analysis, clustering, and hypothesis testing.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Pune.
Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.