Manager Data & Analytics at HSBC

Job Details at a Glance Location Bengaluru, Karnataka, India Company HSBC Experience 1-3 years Qualification Bachelor's Degree Eligible Batch 2022, 2023, 2024, 2025 Job Type Full Time Salary 1220 LPA* Industry Technology Key Skills Problem Solving Communication Skills Basic Computer Knowledge SQL Python Manager Data & Analytics at HSBC Full Details & How to Apply HSBC is seeking a Manager Data & Analytics in Bengaluru, Karnataka, India , offering freshers a chance to work with cutting-edge data technologies. This role is pivotal in driving data-driven decisions within a leading global bank, making it an exceptional opportunity for those looking to launch their careers in analytics. The demand for data analytics professionals is surging in the technology sector, with companies like HSBC investing heavily in data-driven strategies to enhance customer experience. This specific role is crucial as it directly influences the bank's ability to leverage data for strategic decision-making, impacting customer satisfaction and operational efficiency. What makes HSBC stand out for this role is its scale and commitment to innovation. Founded in 1865 , HSBC has over 230,000 employees globally, making it one of the largest banking and financial services organizations in the world. This extensive network provides a unique environment for aspiring data professionals to thrive and grow. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor's Degree and 1-3 years experience to apply. The salary for this position ranges from 1220 LPA* , making it an attractive entry point into the field of data analytics. In this role, you will gain hands-on experience with essential skills such as problem solving , communication skills , SQL , and Python . This exposure to advanced analytics tools and methodologies not commonly found in entry-level roles at competing firms will open doors to senior analytics or managerial positions within 2-3 years . Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Manager Data & Analytics at HSBC is to leverage data insights to drive informed decision-making across various business units, enhancing overall performance. Analyze large datasets using SQL and Python to derive actionable insights, improving data-driven decision-making processes. Develop and maintain dashboards that track key performance metrics, utilizing SQL for data extraction and visualization. Collaborate with cross-functional teams, including IT and Marketing, ensuring data integrity and alignment on analytics projects. Monitor data quality and performance metrics, employing Python for automated checks to ensure accuracy and reliability. Take ownership of specific analytics projects, driving initiatives from conception to execution, showcasing problem-solving skills. Document processes and findings clearly, ensuring effective communication of insights to stakeholders using strong communication skills . Engage with clients to understand their data needs, providing tailored analytics solutions that enhance client satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on business outcomes through data-driven insights. Required Skills & Technical Competencies The ideal candidate for the Manager Data & Analytics role should possess a robust skill profile that combines technical expertise with effective communication. Technical Skills Problem Solving intermediate critical for identifying data trends and anomalies in large datasets. SQL essential used for querying databases to extract and manipulate data for analysis. Python essential employed for data analysis and automation, focusing on libraries like Pandas and NumPy. Basic Computer Knowledge necessary required for navigating various software and tools used in data analytics. Communication Skills vital important for presenting findings to non-technical stakeholders and collaborating with teams. Soft Skills & Professional Competencies Ability to translate complex data findings into clear insights for stakeholders, enhancing decision-making. Strong collaboration skills to work effectively with cross-functional teams on analytics projects. Attention to detail in monitoring data quality and performance metrics for accuracy. Proactive engagement with clients to understand their unique data needs and provide tailored solutions. Good to Have (Bonus Skills) Experience with data visualization tools like Tableau , enhancing the ability to present data insights effectively. Familiarity with machine learning concepts, unlocking advanced analytics capabilities in this role. Knowledge of statistical analysis techniques, providing a deeper .