📋 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 ₹12–20 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 ₹12–20 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 understanding of data interpretation. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates with a strong foundation in data analytics and a keen interest in leveraging data for business insights. A Bachelor's degree in fields such as Computer Science, Statistics, or Mathematics is preferred. Eligible batches include 2022, 2023, 2024, and 2025 , allowing fresh graduates to apply. While 1+ year of experience is preferred, freshers with relevant internships or projects are encouraged to apply. A minimum CGPA of 6.0 or 60% is expected to ensure a solid academic background. Candidates with a portfolio showcasing data projects or GitHub contributions will have an advantage. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant skills and experiences, and include a portfolio that showcases your data projects and analytical capabilities. Pro tip: Tailor your application to highlight specific analytics projects where you utilized SQL and Python to solve real-world problems. Salary for Manager – Data & Analytics at HSBC 💰 Compensation ₹12–20 LPA* The advertised compensation for the Manager – Data & Analytics role at HSBC is ₹12–20 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at HSBC The selection process for the Manager – Data & Analytics role at HSBC is designed to assess both technical and behavioral competencies, ensuring a well-rounded evaluation of candidates. 1 Online Assessment — 60 minutes, testing SQL and basic programming skills through MCQs 2 Technical Interview — focuses on SQL, Python, and data analysis concepts, assessing practical knowledge 3 Behavioral Interview — evaluates cultural fit and problem-solving approach through scenario-based questions 4 HR Interview — discusses offer details and company culture, typically within a week of the last round Topic-wise Preparation Guide Round 1: Online Assessment SQL Queries — understanding joins, subqueries, and aggregations, crucial for data retrieval — W3Schools Python Basics — focusing on data manipulation using Pandas — Kaggle Data Interpretation — analyzing data sets and drawing conclusions — Khan Academy Statistics Fundamentals — basic concepts relevant to data analysis — Coursera Round 2: Technical Interview Advanced SQL — focusing on performance tuning and complex queries — GeeksForGeeks Python Libraries — in-depth knowledge of Pandas and NumPy for data analysis — Udemy Data Visualization — understanding how to present data insights effectively — YouTube Business Analytics — applying data insights to real-world business scenarios — LinkedIn Learning Problem-Solving Techniques — frameworks for approaching data challenges — MindTools Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences Team Collaboration — discussing experiences working in cross-functional teams Technical Deep-Dive — presenting a past project or analysis conducted Timeline & Expectations The entire selection process typically spans 2-4 weeks from application submission to receiving an offer. Prepare thoroughly for each round, as HSBC values both technical expertise and cultural fit. Expected Interview Questions for Manager – Data & Analytics at HSBC These questions are based on the role's actual tech stack and competencies required. Technical Questions How do you optimize SQL queries for performance? Explain how you would use Python to clean a dataset. What are the key differences between a DataFrame and a Series in Pandas? Describe a situation where you used data to solve a business problem. What techniques would you use to visualize data effectively? How do you ensure data quality in your analyses? Behavioral Questions Describe a time when you faced a challenge in a team project. How do you prioritize tasks when working on multiple projects? Give an example of a time you had to explain a complex concept to a non-technical audience. What motivates you to work in data analytics? Role-Specific Questions What analytics tools have you used in your previous projects? How would you approach a data analysis project from start to finish? What do you believe is the most important aspect of data-driven decision-making? Structure your answers using the STAR method to clearly demonstrate your thought process and achievements. Resume Tailoring & ATS Keywords for Manager – Data & Analytics Optimizing your resume for ATS is crucial for standing out in the selection process. ATS Keywords to Include Data Analytics SQL Python Problem Solving Communication Skills Data Visualization Statistical Analysis Machine Learning Data Quality Team Collaboration Business Intelligence Dashboard Development Resume Tips for This Role Highlight relevant projects or internships that demonstrate your data analytics skills. Emphasize your proficiency in SQL and Python , as these are critical for the role. Include any certifications or courses related to data analytics or programming. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your analytical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not align with the role. About HSBC HSBC was founded in 1865 in Hong Kong and Shanghai , and now operates in over 64 countries worldwide, showcasing a vast global footprint in banking and finance. With its headquarters in London , the company employs more than 235,000 individuals , reflecting its extensive reach and influence in the financial sector. HSBC offers a wide range of financial services, including retail banking , wealth management , and investment banking . The company is particularly recognized for its HSBC Global Banking and Markets division, which provides tailored financial solutions to corporate clients, enhancing its reputation in the industry. HSBC has received numerous accolades for its workplace culture, including a 4.1 rating on Glassdoor , which highlights its focus on employee development and diversity. The company actively promotes initiatives such as HSBC's Leadership Development Program , aimed at nurturing talent and fostering an inclusive environment for all employees. Recently, HSBC announced a strategic investment in AI and machine learning technologies to enhance its data analytics capabilities. This initiative reflects the company's commitment to innovation and positions it at the forefront of technological advancements in the banking sector. Joining HSBC as a fresher provides unparalleled exposure to global banking practices and a strong foundation for a career in data analytics . The company’s extensive training programs and mentorship opportunities equip new employees with the skills necessary to excel in the technology-driven financial landscape. Why Join HSBC as Manager – Data & Analytics? At HSBC, you will gain invaluable experience in SQL and Python , essential tools for data manipulation and analysis in the banking sector. This role offers a unique chance to work on impactful projects that shape business strategies. Hands-On Experience — Engage with real-time data projects that directly influence business decisions, enhancing your practical understanding of analytics. Career Advancement — Opportunities for growth can lead to roles such as Senior Data Analyst or Analytics Manager within 1-2 years, based on performance. Collaborative Culture — HSBC promotes a work environment that encourages knowledge sharing and mentorship among teams, fostering professional development. Flexible Work Model — The hybrid work model allows for flexibility, helping you maintain a balanced lifestyle while pursuing your career. Global Exposure — Work within a multinational organization that provides insights into diverse banking practices across various markets. According to NexisGrow.com, the role of Manager – Data & Analytics at HSBC offers a robust platform for career growth, combining technical skills with strategic business insights in a leading global financial institution. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Manager – Data & Analytics at HSBC? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree and 1-3 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–20 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at HSBC? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Manager – Data & Analytics interview? Preparation Tap to expand + Answer (1) Core concepts of Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) HSBC research, (5) Clear communication. ? What is the work culture like at HSBC? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at HSBC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com