Analyst, Data Analytics

at  HSBC

Job description

SOME CAREERS GROW FASTER 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.
At HSBC, our purpose is opening up a world of opportunity and by joining our team, you can be part of something bigger. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible.
In International Wealth and Premier Banking we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and their families. We help our customers look after their day-to-day finances and manage, protect and grow their wealth. Retail Banking plays a crucial role in executing the International Wealth and Premier Banking strategy, providing strategic advice, frameworks and guidance to markets, that ensure all customer journeys, products and services are sustainable, inclusive and built with customers at the heart. Retail Banking brings together a united retail business, made up of the following global teams: Segments, Retail Products, Shared Services Contact Centre, Distribution and Enablers spanning Customer Experience, Marketing, Data and Analytics, Business Architecture, Sustainability and Inclusion for International Wealth and Premier Banking.
We are currently seeking an ambitious individual to join our team in the role of Analyst, Data Analytics working together with colleagues to define, manage and achieve divisional business targets.

Requirements

• Bachelor’s Degree in Economics, Finance, Statistics, Mathematics, Actuarial Science, Data Science, or another quantitative field.
• 1-3 years of relevant experience in data science or analytics role.
• 1-3 Years’ experience with SAS/Python. Experience in using SAS is mandatory.
• 1-3 years’ experience with data querying skills using SQL. Able to aggregate, gather and manipulate data.
• Hands-on experience with Google Cloud Platform (GCP), Adobe Analytic, BigQuery and Qlik will be an added advantage.
• Sharp analytical, technical, and mathematical / statistical skills.
• Demonstrated ability to communicate ideas and analytical results effectively both verbally and in writing to both a technical and non-technical audience.
• Experience in financial services and/or banking preferred

• Mine through large data sets to uncover trends, insights, and opportunities
• Conduct exploratory data mining and analysis to understand customer behaviours, experience, engagement and uncover opportunities
• Conduct end to end analytic solutions: from understanding business requirements, data discovery and extraction, model development and evaluation.
• Identifies, analyses, and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action
• Presents data and analysis in a clear and concise manner allowing business stakeholders to quickly understand the results and recommendations to make data driven decisions.
• Synthesize complex data analysis and insights into easy to understand, effective data storytelling
• Collaborate with distribution and product/marketing managers to design campaign with higher precision in customer targeting.
• Support deployment of business intelligence tool (Qlik or Google Data Studio) for all retail products & propositions.
• To work with Product Team, IT and relevant stakeholders to churn out the regulatory reporting with highest precision in a timely manner.
• Collaborates with various internal teams to prioritize requests/needs and provide a holistic view of the analysis.
• This role will be critical to deliver critical analytic solution which are targeting to improve the data quality, dashboard deployment, insights and data science model.

Requirements

• Bachelor’s Degree in Economics, Finance, Statistics, Mathematics, Actuarial Science, Data Science, or another quantitative field.
• 1-3 years of relevant experience in data science or analytics role.
• 1-3 Years’ experience with SAS/Python. Experience in using SAS is mandatory.
• 1-3 years’ experience with data querying skills using SQL. Able to aggregate, gather and manipulate data.
• Hands-on experience with Google Cloud Platform (GCP), Adobe Analytic, BigQuery and Qlik will be an added advantage.
• Sharp analytical, technical, and mathematical / statistical skills.
• Demonstrated ability to communicate ideas and analytical results effectively both verbally and in writing to both a technical and non-technical audience.
• Experience in financial services and/or banking preferred.