Lead Analyst

As a Lead Analyst at Barclays, you will be responsible for leading and managing engineering teams to deliver high-quality software solutions. You will provide technical guidance, mentorship, and support to ensure technical excellence and innovation. Your role will involve collaborating with cross-functional teams to align technical decisions with business objectives. Key Responsibilities: - Lead and manage engineering teams effectively to achieve project goals and meet organizational objectives. - Oversee timelines, team allocation, risk management, and task prioritization to ensure successful delivery of solutions within scope, time, and budget. - Mentor and support team members" professional growth, conduct performance reviews, provide feedback, and identify improvement opportunities. - Evaluate and enhance engineering processes, tools, and methodologies to increase efficiency and optimize team productivity. - Collaborate with business partners, product managers, designers, and stakeholders to translate business requirements into technical solutions. - Enforce technology standards, facilitate peer reviews, and implement robust testing practices to ensure high-quality solutions. Qualifications Required: - Proficiency in data analysis and interpretation, with the ability to analyze complex data sets and provide actionable insights. - Strong understanding of statistical methods and their applications in data analysis. - Expertise in data analysis tools such as SQL, Python, R, and Excel, as well as data visualization tools like Tableau or Power BI. - Strong problem-solving skills to identify trends, patterns, and anomalies in data. - Excellent communication and leadership skills to effectively present findings to stakeholders and lead a team of data analysts. - Business acumen with a solid understanding of business processes and the ability to align data analysis with business objectives. In addition, the following skills are highly valued: - Knowledge of machine learning algorithms and their applications in predictive analytics. - Familiarity with big data technologies such as Hadoop and Spark. - Understanding of the specific industry or domain in Data Engineering and Data Analytics in the Financial domain. - Knowledge of data governance practices and data quality management. - Experience with advanced statistical techniques such as regression analysis and hypothesis testing. Please note that this role is based in Pune. Barclays values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive, are expected to be demonstrated by all colleagues.,