HSBC Bank India Jobs is hiring freshers/ experienced candidates
for Data Analyst job position who are graduated from a Bachelor's, master's degree.
About HSBC Bank India
A Hong trading house in British Hong Kong is where HSBC first got its start. The bank was originally formally incorporated in 1866, and it began operating branches in Shanghai in 1865. The current parent company, HSBC Holdings plc, was founded in London in 1991, and the bank with its roots in Hong Kong, whose initials were used to give the group its name, became a fully owned subsidiary of that company. When HSBC acquired Midland Bank the next year (1992), it grew to become one of the biggest domestic banks in the UK.
Job Description for HSBC Bank India Jobs
Company | HSBC |
Qualification | Bachelor’s degree/ master's degree |
Position | Data Analyst |
Location | Hyderabad |
Closing Date | 20/DEC/2023 |
Job No | 0000JIBK |
Qualifications for HSBC Data Analyst
- Capacity to analyze, evaluate, and comprehend vast amounts of complex data.
- data analytics background in the financial services sector
- Proficiency in diagnostic and predictive methodologies in domains including Financial Crime Analytics, Risk and Compliance, Trading and Transaction Reporting, Modeling, Risk Scoring, and Customer Marketing analytics, including client segmentation.
- Familiarity with NoSQL, PostgreSQL, MySQL, and SQL Server databases
- Knowledge of programming languages like R, Py Spark, and Python
- A desirable background in creating intelligent, engaging dashboards with Qlik, Tableau, or Power BI
- Program execution and change management: demonstrated capacity to plan, organize, and oversee the implementation of data modifications.
- Preferable background as a management consultant or in the financial services sector supervising and implementing data analysts for transformation initiatives.
- Kindly select an option from the available drop-down menu for every role attribute.
- Selections ought to take into account the year-round characteristics of the position.
- Decisions should be made with the role in mind rather than the person.
- Kindly select an option from the available drop-down menu for every role attribute.
- Selections ought to take into account the year-round characteristics of the position.
- Decisions should be made with the role in mind rather than the person.
- How much does the position manage and promote change, for example, by suggesting enhancements to procedures or products?
- Looks for ways to make daily departmental operations better and more adaptable and will actively pursue authorization to put those improvements into action.
- The position necessitates the capacity to mentor, convince, and sway people using well-honed communication and diplomatic skills.
- Could you please describe the kind of outside communication abilities needed?
- The position demands a high degree of influence and negotiation skills within the team.
Responsibilities of HSBC Data Analyst
- Assist in the development of data assets and insights that are in line with strategic data models and business results.
- Help gather from stakeholders the precise data requirements required to implement analytics use cases (e.g., triggers).
- Help in delivering analytics Proofs of Concept that open up new business options for our clients and our organizations.
- Promote the application of analytical techniques and both new and current data to solve business issues in a realistic way.
- Promote the opening of opportunities to increased revenue via improved data quality.
- Assist in identifying data discrepancies throughout systems that are being consumed.
- Possess a genuine enthusiasm for data and a dedication to advancing the field of forward-thinking data analytics.
- Be eager to work with the group to advance business intelligence and data analysis practices in order to support subjects that are transforming the industry.
- In order to get the best outcomes for Global Business and Functions, the candidate must be able to employ analytical tools and business judgment.
- Accomplished by combining data, analysis, brainstorming sessions, and business acumen to find and steer new prospects.
- Improve the current advanced analytics modeling and processes while fostering innovation in machine learning algorithms, report visualization, and modeling.