📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company HSBC 👥 Experience 2-5 years 🎓 Qualification Master’s degree or doctorate in Technology, Computer Science, Mathematics, Statistics or another quantitative discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹20–₹31 LPA 🏢 Industry Technology 🛠 Key Skills Python SQL NoSQL Git Microsoft Excel VBA BigQuery Google Cloud Storage LangChain Manager, Data and Analytics at HSBC — Full Details & How to Apply HSBC is seeking a Manager, Data and Analytics in Bengaluru, Karnataka, India , where you can leverage cutting-edge tools like BigQuery and Google Cloud Storage. This role offers a unique chance to influence data-driven decision-making in a leading global bank. The role of Manager, Data and Analytics is increasingly vital as organizations like HSBC enhance their data-driven strategies. With the banking sector's growing reliance on analytics, this position is crucial for interpreting complex datasets and informing business strategies that directly affect customer satisfaction. HSBC , founded in 1865 , is one of the largest banking and financial services organizations globally, employing over 230,000 people. This scale not only provides stability but also fosters a culture of innovation, making it an ideal environment for professionals looking to advance their careers in data analytics. We encourage 2023, 2024, 2025, 2026 graduates with a Master’s degree or doctorate in Technology, Computer Science, Mathematics, Statistics or another quantitative discipline and 2-5 years experience to apply. The salary for this role ranges from ₹20–₹31 LPA , making it an attractive option for fresh talent. In this role, you will work with essential skills like Python , SQL , NoSQL , Git , Microsoft Excel , VBA , BigQuery , Google Cloud Storage , and LangChain . This exposure will not only enhance your technical expertise but also open doors to advanced analytics positions within a global financial institution. 📊 Role Difficulty: Medium | Competition Level: High | 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 and Analytics at HSBC is to leverage data-driven insights to enhance business strategies through advanced analytics and machine-learning models. Develop and deploy machine-learning models using Python to enhance predictive analytics capabilities across various business units. Analyze complex datasets utilizing SQL to identify trends that inform strategic decisions and improve operational efficiency. Collaborate with cross-functional teams, including IT and business units, to align data solutions with organizational goals and objectives. Utilize Google Cloud Storage to manage and analyze both structured and unstructured data efficiently, ensuring data integrity. Take ownership of building scalable data-science solutions that meet specific business requirements and enhance overall performance. Maintain comprehensive technical documentation to support ongoing analytics projects and facilitate effective stakeholder communication. Engage with stakeholders to present analytical findings and provide actionable recommendations based on data insights derived from BigQuery . This role fosters an ownership culture, allowing you to make a direct impact on business outcomes through innovative data solutions. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile that includes proficiency in various technical tools essential for data analysis and machine learning. Technical Skills Python — intermediate — essential for developing machine-learning models that enhance predictive analytics capabilities. SQL — intermediate — used for querying and managing databases, crucial for analyzing complex datasets. NoSQL — intermediate — applied for handling unstructured data, particularly relevant for data management tasks. BigQuery — intermediate — utilized for processing large datasets efficiently, enhancing overall data analysis capabilities. VBA — intermediate — important for automating tasks in Microsoft Excel , streamlining data manipulation processes. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong analytical foundation and relevant academic qualifications in quantitative disciplines. Candidates must hold a Master’s degree or doctorate in Technology , Computer Science , Mathematics , Statistics , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply. The experience requirement is 2-5 years , flexible for freshers focusing on relevant academic projects or internships. A minimum academic performance of 60% or equivalent CGPA is expected to ensure a solid understanding of quantitative disciplines. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application for this role. Documentation & Portfolio Requirements Your resume should be well-structured, highlighting your academic qualifications, relevant projects, and technical skills. Include links to your portfolio or GitHub for additional context. Pro tip: Tailor your application to highlight specific projects where you utilized Python and SQL to solve real-world problems. Salary for Manager, Data and Analytics at HSBC 💰 Compensation ₹20–₹31 LPA The advertised compensation for the Manager, Data and Analytics role at HSBC is ₹20–₹31 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Manager, Data and Analytics Upskilling with the right resources significantly improves your selection odds for the Manager, Data and Analytics role at HSBC . Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. SQL — Crucial for querying databases and managing data effectively. Git — Important for version control and collaboration on data projects. Microsoft Excel — Useful for data analysis and visualization tasks. KodNest — Great for enhancing coding skills relevant to data analytics. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to data analytics. ❌ Neglecting to include quantitative achievements — Showcase measurable impacts from previous roles or projects. ❌ Overlooking technical tools — Ensure to mention skills like BigQuery and Python prominently. ❌ Submitting a generic cover letter — Address HSBC's specific needs in your application. ❌ Not preparing for technical interviews — Practice relevant data analysis problems beforehand. ❌ Ignoring networking opportunities — Connect with industry professionals to learn more about the role. Before You Apply — Checklist ✅ Research HSBC's recent initiatives in data analytics before applying. ✅ Ensure your resume is tailored to highlight relevant skills and experiences. ✅ Prepare a cover letter that addresses why you are a good fit for this specific role. ✅ Gather any necessary documents, such as transcripts or certifications. ✅ Review the application portal for specific submission guidelines. ✅ Double-check for any spelling or grammatical errors in your application materials. ✅ Follow up with a connection at HSBC if possible to express your interest. ✅ Set reminders for application deadlines to ensure timely submission. Resume Tailoring & ATS Keywords for Manager, Data and Analytics Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Analytics Machine Learning Python SQL BigQuery Google Cloud Storage Statistical Analysis Natural Language Processing Data Modelling Stakeholder Collaboration Deep Learning VBA Resume Tips for This Role Highlight your technical skills in Python and SQL , as these are crucial for the role. Emphasize any relevant projects or internships that demonstrate your analytical capabilities. Include a link to your GitHub or portfolio to showcase your practical experience. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data analytics. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience that does not pertain to data analytics. How to Apply for Manager, Data and Analytics at HSBC Apply Now — HSBC Visit the HSBC careers portal and search for the Manager, Data and Analytics position. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form, paying attention to detail and clarity. After submission, expect a confirmation email regarding your application status. Use the application portal to track your application progress. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — HSBC NexisGrow.com does not charge any fees for job applications. HSBC HSBC was founded in 1865 in Hong Kong and Shanghai , and now operates in 64 countries worldwide, showcasing a robust global presence. With its headquarters in London , HSBC employs over 235,000 individuals, emphasizing its commitment to diverse markets, particularly in Asia . This extensive network allows HSBC to serve millions of customers across various financial sectors. The company offers a wide range of banking services, including retail banking , wealth management , and global banking and markets . Notably, HSBC provides innovative digital solutions through platforms like HSBCnet and HSBC Mobile Banking , enhancing customer experience and accessibility. These services are designed to meet the evolving needs of clients in a competitive financial landscape. HSBC has received numerous accolades for its workplace culture, including a 4.1 rating on Glassdoor , reflecting a supportive environment for its employees. The company actively promotes diversity and inclusion through various programs, such as the HSBC Women’s Network and HSBC Pride , fostering a sense of belonging among its workforce. Recently, HSBC announced plans to invest $3 billion in AI and machine learning technologies over the next five years. This initiative aligns with its strategy to enhance digital banking services and improve operational efficiency. Such investments demonstrate HSBC 's commitment to innovation and staying ahead in the financial technology sector. For freshers in Technology, HSBC offers unparalleled exposure to global banking practices and advanced data analytics. The company’s focus on emerging technologies, such as big data and cloud computing , provides a solid foundation for career growth. Joining HSBC allows new talent to develop skills in a rapidly evolving industry, making it an excellent launchpad for future success. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 portal.careers.hsbc.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Manager, Data and Analytics at HSBC? Eligibility Tap to expand + Answer Candidates with Master’s degree or doctorate in Technology, Computer Science, Mathematics, Statistics or another quantitative discipline and 2-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, NoSQL, Git, Microsoft Excel. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹20–₹31 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: Python, SQL, NoSQL, Git, Microsoft Excel. ? 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 and Analytics interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, NoSQL, Git, Microsoft Excel, (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 Latest Fresher 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