📋 Job Details at a Glance 📍 Location India 🏢 Company HSBC 👥 Experience 3+ years 🎓 Qualification 3+ years. Hands-on with Python, GCP, Azure. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python GCP Azure machine learning Manager, Data and Analytics at HSBC — Full Details & How to Apply HSBC is seeking a Manager, Data and Analytics in India to execute analyses that support business decisions using hands-on experience with Python , GCP , and Azure . This role is part of HSBC ’s technology-driven initiatives in India, where data analytics directly influence product and market strategies. The Manager, Data and Analytics role is crucial for executing analyses and developing strategies that support business decisions across the customer’s lifecycle for specific products or markets. Responsibilities include managing delivery within agreed timelines and quality standards, and driving benefits through self-initiated projects. The role requires practical application of tools such as Python , GCP , and Azure to deliver actionable insights. HSBC recruitment for this position emphasizes technical expertise and operational delivery. The role is part of a technology-focused team within HSBC , operating in India. The job posting highlights that the role supports business decisions through data-driven strategies and requires consistent technical execution. 2023, 2024, 2025, 2026 graduates with 3+ years. Hands-on with Python, GCP, Azure. Relevant technical / engineering background and 3+ years experience are eligible. The salary for this position is Not Disclosed . Candidates will gain hands-on experience with Python , GCP , and Azure . This role offers a clear progression path into senior analytics leadership within a global financial institution. It provides foundational exposure to enterprise-scale data operations and stakeholder-facing analytics. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No 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. Search for Manager, Data and Analytics jobs in India. Explore HSBC recruitment for technology roles. Find updated India jobs with technical requirements and apply online through the official portal. Job Role & Responsibilities The Manager, Data and Analytics at HSBC executes end-to-end data analysis to support product decisions across customer lifecycle segments, using Python , GCP , and Azure to deliver actionable insights. This role ensures operational efficiency through measurable performance metrics and direct impact on business outcomes. Execute customer lifecycle analyses using Python to identify churn patterns and segment behavior across specific markets. Utilize GCP for batch processing of transactional data to generate real-time performance dashboards with 95%+ accuracy. Develop machine learning models in Python to predict customer acquisition likelihood based on historical engagement data. Deploy analytics pipelines on Azure to automate monthly performance reporting with consistent delivery within 48-hour timelines. Present findings to stakeholders using Python -generated visualizations and GCP -hosted data reports with clear KPIs. Document analysis workflows and model performance in Python notebooks and Azure data catalog entries for audit and process improvement. Investigate anomalies in business performance using Python scripts and GCP monitoring tools to identify root causes and resolve issues. Optimize data processing efficiency by refining Python code and leveraging Azure cost management tools to reduce operational spend. This role demands full ownership of analytical deliverables, with direct responsibility for improving performance metrics , ensuring data quality , and driving measurable business benefits through technical execution and process refinement. Required Skills & Technical Competencies The role requires a strong technical foundation in Python , GCP , Azure , and machine learning to execute data analytics tasks with precision and scalability. Candidates must demonstrate hands-on proficiency in these tools to deliver reliable, production-grade results. Technical Skills Python — advanced — used to develop machine learning models, automate data pipelines, and generate visualizations for business performance analysis. GCP — intermediate — used for cloud-based data storage, batch processing, and deployment of analytics workloads with specific performance monitoring. Azure — intermediate — used to manage data solutions, deploy analytics services, and monitor operational efficiency in cloud environments. Machine learning — intermediate — applied to build predictive models for customer behavior, with implementation using Python and GCP or Azure ML platforms. When preparing your resume or interview, emphasize specific Python scripts, GCP or Azure deployment examples, and measurable outcomes from machine learning model performance. Eligibility Criteria This role is designed for candidates with a technical or engineering background and at least 3 years of hands-on experience in data analytics, specifically using Python , GCP , and Azure . It is not intended for freshers or those without demonstrable technical experience. Must hold a degree in engineering, computer science, or a related technical field with a minimum CGPA of 3.0 or equivalent. Eligible batches are 2023, 2024, 2025, and 2026 only. Must have 3+ years of hands-on experience in data analysis using Python and cloud platforms like GCP or Azure . Experience must include execution of data analysis tasks, such as model development, pipeline creation, or performance reporting. Must have a documented portfolio showing completed projects using Python and GCP or Azure for data processing or analytics. Academic performance is not explicitly required, but a solid technical foundation is essential for success in this role. Documentation & Portfolio Requirements Your resume must include a clear section on technical projects, listing at least two completed projects using Python and GCP or Azure , with specific metrics, tools, and outcomes documented in a structured format. For this role, prioritize showcasing Python scripts that process real-world data, GCP or Azure deployment examples, and measurable performance improvements — not just code snippets or generic descriptions. Salary for Manager, Data and Analytics at HSBC 💰 Compensation Not Disclosed The advertised compensation for the Manager, Data and Analytics role at HSBC is Not Disclosed . 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 enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. GCP — Crucial for cloud-based data solutions and analytics. Azure — Important for leveraging cloud services in data projects. machine learning — Key for implementing predictive analytics and models. KodNest — Offers practical experience in data analytics projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python, GCP, or Azure — provide specific examples of your use. ❌ Using a generic resume — tailor it to highlight relevant experience and responsibilities from the job description. ❌ Listing technologies without detailing their application — ensure you explain how you used Python or Azure in projects. ❌ Ignoring the requirement for 3+ years of experience — only apply if you meet this criterion. ❌ Adding unrelated technologies or unsupported claims — stick to relevant skills and experiences. ❌ Failing to verify the official Apply URL — always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Manager, Data and Analytics Optimizing your resume for ATS is crucial for ensuring your application is noticed for this role. ATS Keywords to Include Python GCP Azure Data Analytics Machine Learning Business Decisions Stakeholder Management Performance Monitoring Operational Efficiency Self-Initiated Projects Technical Background Analytical Skills Resume Tips for This Role Highlight your 3+ years of experience in data analytics, particularly with Python , GCP , and Azure . Emphasize hands-on experience with Python , GCP , and Azure as these tools are critical for the role. Showcase a project that involved data analytics using Python or cloud technologies. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences or unsupported claims in your resume for this role. How to Apply for Manager, Data and Analytics at HSBC Apply Now — HSBC Open the official Apply URL and confirm the job title and company matches " Manager, Data and Analytics " at HSBC . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. 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 is a global technology company in the financial services industry. Based in India, this Manager, Data and Analytics role is onsite. The position supports business decisions through data and analytics, working closely with engineers and business teams to ensure delivery and quality standards. The role involves executing analyses, documenting findings, and presenting results to stakeholders. It includes managing delivery timelines and quality, as well as driving business benefit through self-initiated projects and problem-solving. This role supports HSBC ’s mission to help individuals realise their ambitions through financial services. It enables practical experience in data-driven decision-making within a real-world business context. This role offers early-career exposure to Python , GCP , Azure , and machine learning —key tools used in data and analytics. Hands-on experience with these technologies builds foundational skills in data management and business application. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 career2.successfactors.eu Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 3+ years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, GCP, Azure, and machine learning are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review Python, GCP, and Azure; prepare to discuss data analytics projects; understand business decision-making processes; practice presenting findings; and be ready to discuss self-initiated projects. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to data analytics, stakeholder management, and the use of cloud technologies, enhancing skills in business decision-making. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight Python, GCP, Azure, data analytics experience, and relevant project work. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with stakeholders, including engineers and business teams, in an onsite setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 3+ years of experience. 🔗 Explore More on NexisGrow More jobs in India 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