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.