Data Analyst at HSBC Securities Services Luxembourg

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Pandas, Pyspark, Cloud Computing, Data Modeling, Adobe Analytics, Data Quality Assessment, BI Tools, QlikSense, Tableau, Power BI, Business Analysis, Analytical Techniques, Data Governance

Industry

Financial Services

Description

Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Analyst Business: GCIO Principal responsibilities Manage the build of insights and data assets aligned to business outcomes and strategic data models. Manage the gathering of detailed data requirements from stakeholders to deliver analytics use cases. Manage the delivery of analytics point of contacts that allow our businesses and clients to identify new opportunities. Manage the leveraging of current and emerging data and analytical techniques to address business challenges in an actionable way. Manage the unlocking of opportunities to derive higher returns with improved Data Quality Manage uncovering of data inconsistencies across consuming systems. Adherence to the Data controls and Governance to check the movement of data. Look for ways to improve the current systems and processes and automating pipelines where possible. Qualifications At least 7 years of experience with master’s degree or equivalent from reputed university with specialization in numerical discipline and / or concentration in computer science, information systems or other engineering specializations Strong analytical skills with business analysis aptitude. Knowledge and understanding of financial-services/ banking-operations is advantageous. Extensive knowledge of programming in SQL, Python, Pandas, Pyspark and hands-on programming experience is must. Knowledge of Cloud Computing (AWS, GCP), Data Modeling, Adobe Analytics and or exposure to Data Quality assessment and control (IBM Market Data Management, Reference Data Management) is a plus. Knowledge of BI and Visualization tools like QlikSense/Tableau/Power BI is advantageous. Ability to comprehend intricate and diverse range of business problems and analyze them with limited or complex data and provide a feasible solution framework. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Responsibilities

The Data Analyst will manage the build of insights and data assets aligned to business outcomes and strategic data models. They will also gather detailed data requirements from stakeholders to deliver analytics use cases and identify new opportunities for the business.