📈 Trending among freshers✓ Verified Listing

Data Analyst

HSBCCompetition: Moderate • Entry Level
|Mumbai, Maharashtra, India|Posted 12 days ago|Last verified 12 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jun 22, 2026
💼 Experience Required
Fresher / 0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
Data Analyst
📌 How to Apply
Click on the Apply button
💰 Salary
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
Analytical SkillsInterpersonal SkillsLearning AgilityFuture-Ready MindsetProven Track RecordTechnical Proficiency

📖 Related Learning Resources

💡 Resume Tips for Engineering Freshers🚀 How to Apply Without Getting Lost🤝 How to Prepare for HR Rounds📚 Interview Prep & Core Practice

Company Information

Official Job Details

Job Description

Data Analyst

Mumbai, Maharashtra, India

Job description

Job ID

34892

Work Style

Office Worker

Brand

HSBC

Department

Branch and Retail Banking

Job Type

Full Time

Date Posted

05 June 2026

Apply By

19 June 2026

Min Salary

Max Salary

Some careers open more doors than others.

If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Key Responsibilities

Campaign Analytics:

Support the design, execution, and evaluation of marketing and customer engagement campaigns by analyzing campaign performance data and identifying key success metrics.

Data Collection & Preparation:

Gather and prepare data from multiple sources (e.g., CRM, digital platforms) to enable robust campaign analysis.

Performance Reporting:

Develop and maintain dashboards and reports that track campaign effectiveness, customer response rates using tools like Excel, Power BI, or Looker.

Insights Generation:

Translate campaign data into actionable insights, highlighting opportunities for optimization and recommending improvements to future campaigns.

Stakeholder Collaboration:

Work closely with marketing, product, and business teams to understand campaign objectives and deliver analytics solutions that drive business outcomes.

Continuous Learning:

Stay updated on the latest campaign analytics techniques and tools. Demonstrate learning agility by adapting to new challenges and technologies.

Documentation:

Maintain clear documentation of campaign analytics processes, methodologies, and findings to ensure transparency and knowledge sharing.

What You’ll Need to Succeed

Analytical Skills:

Strong quantitative and analytical abilities, with a knack for breaking down complex problems and interpreting data.

Interpersonal Skills:

Excellent communication and teamwork skills. Ability to explain technical concepts to non-technical audiences and collaborate effectively in a diverse team.

Learning Agility:

Eagerness to learn, adapt, and apply new skills in a fast-paced environment. Openness to feedback and a growth mindset.

Future-Ready Mindset:

Curiosity about emerging technologies and trends in data analytics. Willingness to contribute fresh ideas and challenge the status quo.

Proven Track Record:

Demonstrated achievement through academic projects, internships, hackathons, or relevant coursework.

Technical Proficiency:

Basic knowledge of data analysis tools (e.g., GCP Biq Query / Python / Looker Dashboard / Power BI / SQL) is a plus, but not mandatory.

Qualifications

Bachelor’s / Master’s degree (or final year student) in Mathematics, Statistics, Computer Science, Engineering, Economics, or related field.

Fresh graduates from good colleges are welcome.

💡 Editor's Career Guide for this Role

🎯 Why This Role Matters

This role focuses on extracting insights from complex datasets, designing robust data models, and supporting business decisions. It builds an excellent foundation for moving into data science, data engineering, or machine learning engineering.

⚡ Key Skills Needed

To stand out for this position, hiring managers for this Data Analyst role are looking for:

  • ✓ Strong foundational knowledge in core engineering principles.
  • ✓ Ability to adapt quickly to the fast-paced environment at HSBC.
  • ✓ Proficiency in Analytical Skills, Interpersonal Skills, Learning Agility.

💡 Application Tips

  • •Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at HSBC.
  • •Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
  • •Leverage the AI Assistant: Use the AI Assistant button above to evaluate your resume against this specific Data Analyst description before applying.

CampusToCareer Analysis

⭐ Original AnalysisLast Verified: Jun 22, 2026

🎯 Should You Apply?

✓ Suitable for:

  • ✓ Business graduates
  • ✓ Engineering students
  • ✓ Students interested in consulting or analytics

✗ Not ideal if:

  • ✗ Looking strictly for software development/coding roles
  • ✗ Uncomfortable with stakeholder presentations

⚡ Difficulty Level

Application DifficultyMedium
Expected CompetitionHigh
Interview Rounds2–4 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.

🎓 What You Will Learn

Skills you may develop through this role:

  • Analytical Skills
  • Interpersonal Skills
  • Learning Agility
  • SQL database query optimization

📝 How to Prepare

  1. Master SQL basics (joins, subqueries, group by, window functions)
  2. Understand business analysis lifecycles and requirement gathering
  3. Practice communication and case study problems
  4. Learn key metrics (conversion, churn, retention) used in analysis

📄 Resume Match Tips

Highlight these on your resume to stand out:

  • ✓ Highlight communication projects and business case studies
  • ✓ List SQL and Excel proficiency with concrete project examples
  • ✓ Showcase leadership, clubs, or team collaboration experiences
⚠️

Reality Check

This role is less technical and more communication-oriented. Students expecting software development or compiler work may find the role different from expectations.

❓ Frequently Asked Questions

Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
Apply Now
Career Comparison Hub

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Competition: Moderate
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🤔

Not Sure Which Role To Choose?

Evaluate key parameters such as skills required, career growth opportunities, salary expectations, and competition levels before finalizing your targets.

💰 Salary Expectations🛠️ Skills Required📈 Growth Opportunities⚡ Competition Level

Related Preparation Resources

Candidate Guide • 5 min role analysis

More than a copied JD: use this page to prepare before you apply.

HSBC is hiring for Data Analyst in Mumbai, Maharashtra, India. This page goes beyond the raw listing so students can understand what the role usually expects, how to prepare for screening, and how to apply more thoughtfully instead of forwarding a resume blindly.

Application Difficulty: MediumCompetition: HighPreparation Time: 3–5 Days

⚡ Quick Preparation Snapshot

Role Fit:
7/10
Competition:
High
Interview Difficulty:
Medium
Freshers Friendly:
Yes
Remote:
No
Recommended:
Any Batch

🏢 Why Students Consider HSBC

✓ Advantages

  • ✓ Direct impact on product & business decisions
  • ✓ Cross-functional visibility across departments
  • ✓ Stepping stone to Data Science & ML tracks
  • ✓ Data-driven problem-solving exposure

⚠ Potential Challenges

  • • Ad-hoc SQL report extraction requests
  • • Manual cleaning of messy dataset pipelines

⚙️ Role Context & Recruiter Lens

Data Analyst is likely not just a keyword match. In real hiring, titles compress multiple operational expectations. You should read this listing as a signal of day-to-day team coordination and troubleshooting.

✓ What Recruiters Typically Evaluate

  • ✓ Advanced SQL queries (joins, windowing)
  • ✓ Analytical business metrics (churn, conversion)
  • ✓ Data visualization tool skills (PowerBI/Tableau)
  • ✓ Structured logical breakdown of case studies
  • ✓ Storytelling with quantitative numbers

❌ Common Mistakes Students Make

  • ❌ Applying with a generic resume that does not align with recommended skills.
  • ❌ Ignoring basic company research before the screening interview.
  • ❌ Using broken or inactive GitHub and portfolio showcase links.
  • ❌ Listing complex projects on the resume without being able to explain details.
  • ❌ Clicking apply without verifying batch eligibility or graduation cutoffs.

📅 30-Day Preparation Roadmap

Week 1: Advanced SQL Query Drills

Practice aggregation, subqueries, CTEs, and window functions on SQL platforms.

Week 2: Interactive Dashboard Build

Set up Tableau/PowerBI visual displays of public datasets to highlight trends.

Week 3: Business Metrics Analysis

Study indicators like user retention, conversion rates, and profit margin analysis.

Week 4: Case Study & Presentations

Practice explaining analytics trends simply to simulated business clients.

📈 Typical Hiring Journey Timeline

1. Application
Initial profile submission
→
2. Shortlisting
Recruiter resume screening
→
3. Assessment
Aptitude/coding test assessment
→
4. Interview
Technical & HR conversation rounds
→
5. Offer
Letter of intent & onboarding

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✍️ Reviewed by: CampusToCareer Editorial Team📅 Last Updated: 13 June 2026✓ Fact Check Status: Verified