📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company HSBC 👥 Experience 3-5 years 🎓 Qualification Bachelor’s / Master’s Degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or related discipline preferred 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–25 LPA 🏢 Industry Technology 🛠 Key Skills Data Analytics Business Analysis Python Data Modelling Machine Learning BI & Data Visualization Redshift Azure Looker BigQuery Manager – Data & Analytics at HSBC — Full Details & How to Apply HSBC is seeking a Manager – Data & Analytics in Bangalore, Karnataka, India , where you can leverage your skills in Python and Machine Learning to drive impactful data solutions. This role is pivotal as the demand for data analytics professionals is surging, with companies increasingly relying on data-driven decisions, making this position crucial for HSBC 's strategic initiatives. The Manager – Data & Analytics role is essential in the Technology sector, especially as organizations prioritize data analytics to enhance decision-making processes. With the rapid evolution of technology, businesses like HSBC are investing in advanced analytics to improve customer insights and operational efficiency, positioning themselves ahead of competitors in a data-centric world. HSBC , founded in 1865 , is one of the world's largest banking and financial services organizations, employing over 230,000 people globally. This extensive scale allows HSBC to offer unique opportunities for professional growth and exposure to a diverse tech stack, including Azure and BigQuery , which is less common in similar roles at competing firms. This role is ideal for 2023, 2024, 2025, 2026 graduates with a Bachelor’s / Master’s Degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or related discipline preferred . Candidates should have 3-5 years experience in data analytics, with a competitive salary range of ₹15–25 LPA . In this position, you will work with essential skills such as Data Analytics , Business Analysis , Python , Data Modelling , Machine Learning , BI & Data Visualization , Redshift , Azure , Looker , BigQuery , and GCP . This role opens doors to advanced career paths within HSBC , allowing you to influence the company's data strategy significantly. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Mostly 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-driven insights to enhance business strategies and decision-making processes across various departments. Lead data analytics projects by utilizing Python to develop predictive models that enhance business decision-making and improve operational efficiency. Utilize Azure to manage and analyze large datasets, ensuring data integrity and accessibility for cross-functional teams. Collaborate with IT and marketing teams to align data strategies with business objectives, ensuring effective communication and project execution. Monitor key performance metrics using Microsoft Excel to assess the effectiveness of data-driven initiatives and report findings to senior management. Take ownership of data quality assurance processes, implementing best practices to maintain high standards in data management. Document analytical processes and findings, ensuring clear communication of insights to stakeholders using data visualization techniques. Engage with clients to understand their data needs and provide tailored analytical solutions that drive business value. Conduct regular reviews of data processes to identify areas for improvement, ensuring continuous enhancement of analytics capabilities. In this role, you will foster an ownership culture, directly impacting the organization’s data-driven initiatives and contributing to strategic business outcomes. Required Skills & Technical Competencies The Manager – Data & Analytics role requires a robust skill profile to effectively interpret data and drive actionable insights for HSBC . Technical Skills Data Analytics — intermediate — critical for interpreting complex datasets and deriving actionable insights to inform business strategies. Business Analysis — intermediate — essential for understanding business requirements and translating them into effective data solutions during project scoping. Python — advanced — used daily for data manipulation and model development, requiring proficiency in libraries such as Pandas and NumPy . Machine Learning — intermediate — familiarity with algorithms and frameworks necessary for developing predictive models that drive business value. BI & Data Visualization — intermediate — important for presenting data insights using tools like Looker in an understandable format to enhance stakeholder engagement. Redshift — intermediate — utilized for data storage and retrieval, ensuring efficient data management and analysis. BigQuery — intermediate — employed for analyzing large datasets quickly and efficiently, supporting data-driven decision-making. GCP — intermediate — used for cloud-based data storage and analytics, facilitating scalable data solutions. 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 academic background and relevant experience in data analytics and business intelligence. Candidates must hold a Bachelor’s or Master’s Degree in Data Science , Statistics , Computer Science , Engineering , or Business Analytics . Eligible batches include 2023 to 2026 , allowing recent graduates to apply and gain valuable experience. The role requires 3-5 years of experience, but freshers with relevant internships may also be considered for entry-level tasks. A minimum academic performance of 60% is preferred to ensure a strong analytical foundation. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your educational background, relevant skills, and any projects that demonstrate your analytical capabilities. Pro tip: Include specific examples of how your analytical skills have led to measurable outcomes in previous roles or projects to strengthen your application. Salary for Manager – Data & Analytics at HSBC 💰 Compensation ₹15–25 LPA The advertised compensation for the Manager – Data & Analytics role at HSBC is ₹15–25 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 & Analytics Upskilling with the right resources significantly enhances your chances of selection for this role by equipping you with essential skills and knowledge. Recommended Courses & Resources Data Analytics — Mastering data analytics is crucial for effective decision-making in this role. Business Analysis — Understanding business needs is key to driving data-driven strategies. Python — Proficiency in Python is essential for data manipulation and analysis tasks. Machine Learning — Knowledge of machine learning enhances predictive analytics capabilities. KodNest — This resource provides practical coding skills necessary for data projects. 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 specific skills mentioned in the job description. ❌ Neglecting to showcase relevant projects — Demonstrate your experience through relevant projects or internships. ❌ Using generic language — Be specific with metrics or outcomes to strengthen your application. ❌ Overlooking the importance of a strong cover letter — Connect your background to the role effectively. ❌ Not preparing for technical interviews — Practice relevant data analytics problems to enhance your readiness. ❌ Submitting applications without proofreading — Ensure there are no errors to create a positive impression. Before You Apply — Checklist ✅ Research HSBC 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a cover letter that connects your background to the role. ✅ Gather any necessary documents, such as transcripts or certifications. ✅ Ensure your LinkedIn profile is up to date and aligns with your resume. ✅ Practice common interview questions related to data analytics. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after submission. Resume Tailoring & ATS Keywords for Manager – Data & Analytics Optimizing your resume for ATS is crucial to ensure it passes initial screenings for this role. ATS Keywords to Include Data Analytics Business Analysis Python Data Modelling Machine Learning BI & Data Visualization Redshift Azure Looker BigQuery GCP Microsoft Excel Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in data analytics and Python. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include a link to your portfolio or GitHub to showcase your practical skills and projects. Optimize your resume with keywords from the job description to pass ATS filters. Avoid including unrelated work experiences that do not pertain to data analytics or business analysis. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions; focus on specific achievements and metrics related to data analytics. How to Apply for Manager – Data & Analytics at HSBC Apply Now — HSBC Visit the HSBC careers portal and create an account to start your application. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form carefully, providing accurate information. After submission, expect a confirmation email and keep an eye on your application status. Use the application tracking feature to monitor your progress. Applications reviewed on rolling basis — early submission 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 over 64 countries worldwide. With a workforce of approximately 230,000 employees , HSBC has established a significant global presence, providing a wide array of financial services. The company's headquarters are located in London, United Kingdom , serving as a hub for its international operations. HSBC offers a diverse range of services, including retail banking , wealth management , and global banking and markets . The company utilizes advanced technologies such as AI and machine learning to enhance its service offerings. Notable platforms include HSBCnet for corporate banking and HSBC Wealth Dashboard for personal finance management. HSBC has received multiple accolades for its workplace culture, including a Glassdoor rating of 4.0 , which reflects its commitment to diversity and employee development. The company actively promotes programs such as HSBC's Leadership Development Program , aimed at nurturing talent and fostering a collaborative environment among its over 230,000 employees . Recently, HSBC announced a strategic investment in AI and machine learning technologies , showcasing its dedication to innovation in the financial sector. This initiative is part of a broader strategy to enhance customer experience and operational efficiency. Additionally, the company is expanding its digital banking capabilities to meet the evolving needs of its clients. For freshers in Technology, HSBC offers unparalleled access to global projects and mentorship from industry leaders. The company’s focus on data analytics and business intelligence provides a strong foundation for a successful career. With opportunities to work on cutting-edge technologies like Azure and BigQuery , new employees can rapidly develop their skills in a supportive environment. Company Details Industry Technology Location Bangalore, 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 & Analytics at HSBC? Eligibility Tap to expand + Answer Candidates with Bachelor’s / Master’s Degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or related discipline preferred and 3-5 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: Data Analytics, Business Analysis, Python, Data Modelling, Machine Learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–25 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: Data Analytics, Business Analysis, Python, Data Modelling, Machine Learning. ? 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 Data Analytics, Business Analysis, Python, Data Modelling, Machine Learning, (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 Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at HSBC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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