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Data Analysis
Brand: HSBC
Area of Interest:
Location:
Hyderabad, TG, IN,
Work style: Hybrid Worker
Date: 16 Oct 2025
**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 Analysis**
**Business: Global Finance**
**Principal responsibilities**
+ Lead/Support and coordinate regulatory change projects focused on data management within Credit Risk reporting domain, ensuring timely and accurate implementation of requirements (eg, Basel 3, 3.1, PRA101, Corep and Pillar 3)
+ Support/Establish and enhance data governance structures, policies and controls to secure, validate and justify all credit risk data used in regulatory reporting ((eg, Basel 3, 3.1, PRA101, Corep and Pillar 3)
+ Support data lineage mapping, reconciliation processes and traceability to source systems, aligning regulatory requirements with technical capabilities.
+ Collaborate with Data Governance, BAU and IT teams to enforce best practices for data management and remediation of identified issues.
+ Partner with PMO and senior management to prioritise change initiatives within the regulatory roadmap and ensure strategic alignment with overall programme.
+ Act as a key liaison between Regulatory Policy, Credit Risk BAU, Finance, Data and Technology teams to align interpretation & implementation of the changes with data and reporting capabilities.
+ Execute process and system changes to ensure data integrity, lineage and reconciliations between the processes.
+ Execute robust governance and control frameworks across change delivery, including issue tracking, remediation plans, validation and post implementation reviews.
+ Own/execute the change log and stakeholder signoff process
+ Build effective relationships with key stakeholders within 1st line of defence, 2nd line of defence and 3rd line of defence. Leverage these relationships to contribute to Assurance and Governance framework for the Action & Issue closures.
+ The role holder will also co-ordinate closely with the external auditors, and support reporting to key governance meetings with senior management.
**Requirements :**
+ 6+ years of experience in regulatory reporting, credit risk management or finance change within major banking institutions.
+ Good knowledge of Basel III/IV capital rules, PRA/ECB/HKMA reporting frameworks and CRR/CRD interpretation.
+ Good understanding of reporting processes and systems.
+ Experience in the delivery of change with excellent business analysis capabilities and a track record of successfully being involved in complex change projects with cross functional impacts and dependencies
+ Excellent relationship management and collaboration skills
+ Experience of working on large-scale projects
+ Experience of dealing with senior stakeholders
+ Experience of working with Risk Stewards, CCO teams, Internal and External Audit
**What additional skills will be good to have?**
+ Experience with UK PRA regulatory Reporting or COREP environment preferred.
+ Experience with Investment Banking products.
**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***

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Greetings From 2COMS Group!

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

Job Description

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

BenefitsAs per Co norms

**Job Purpose**
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.

Our client is excited to offer a fully remote Graduate Trainee position focused on Data Analysis. This is an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and data-driven environment. As a trainee, you will work alongside experienced professionals, contributing to real-world data projects and developing essential analytical skills.

Responsibilities:

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and data visualization tools to identify trends, patterns, and insights.
• Support the development and generation of reports and dashboards to communicate findings to stakeholders.
• Help in building predictive models and performing statistical modeling under guidance.
• Collaborate with the data science and analytics teams to understand project requirements and deliver accurate results.
• Learn and apply various data analysis techniques and tools.
• Participate in team meetings and contribute to discussions on data-related challenges and solutions.
• Maintain data integrity and ensure accuracy in all analytical tasks.
• Assist in documenting data processes, methodologies, and findings.
• Continuously seek opportunities to enhance analytical skills and explore new data-related technologies.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and database querying (e.g., SQL).
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• A proactive attitude and a strong desire to learn and grow in the field of data analysis.
• Good understanding of statistical concepts and principles.
• Ability to work collaboratively in a virtual team environment.
• Eagerness to contribute to meaningful projects and gain practical experience.

This internship is designed to provide a comprehensive learning experience in data analysis. You will have the opportunity to work on challenging assignments, receive mentorship, and build a strong foundation for a career in data science. If you are a motivated and analytical recent graduate looking for a rewarding remote internship, we encourage you to apply and become part of Our client's innovative team.

Embark on your professional journey with an exciting Graduate Trainee opportunity in Data Analysis. Our client is seeking ambitious and analytical individuals to join their dynamic team in **Dehradun, Uttarakhand, IN**. This role is designed to provide comprehensive training and hands-on experience in various data analysis methodologies and tools. You will be integral to the process of collecting, cleaning, and interpreting data sets to identify trends, patterns, and insights that will drive business decisions. Your responsibilities will include assisting senior analysts with data extraction from various sources, performing basic statistical analysis, creating visual representations of data such as charts and graphs, and contributing to the preparation of reports. The ideal candidate will possess a strong foundation in mathematics or statistics, excellent problem-solving skills, and a keen eye for detail. While this role offers a hybrid work model, fostering collaboration and flexibility, you will gain invaluable exposure to real-world data challenges within a supportive learning environment. We are looking for individuals who are eager to learn, possess a strong work ethic, and have a passion for uncovering meaningful information from data. A bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is required. Familiarity with data analysis tools like Excel, SQL, or Python (Pandas, NumPy) is a plus. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. This is a unique chance to develop critical skills in a thriving industry and contribute to significant projects. Successful candidates will have the opportunity to grow within the organization and potentially secure a full-time position upon successful completion of the traineeship.

Our client is offering an exciting Research Intern position focused on Data Analysis, located in Chennai, Tamil Nadu, IN . This internship provides an invaluable opportunity for bright and motivated students or recent graduates to gain hands-on experience in a professional research environment. You will work alongside experienced researchers and data scientists, contributing to ongoing projects that require meticulous data collection, cleaning, and analysis. Your responsibilities will include assisting in the design of experiments, gathering data from various sources, performing statistical analysis using relevant software, and contributing to the interpretation of findings. You will also be involved in preparing reports, presentations, and visualizations to communicate research outcomes effectively. This role requires a strong analytical mindset, attention to detail, and a passion for uncovering insights from data. Exposure to statistical software and programming languages commonly used in data analysis, such as Python or R, would be highly advantageous. The internship is designed to foster learning and development, providing mentorship and exposure to real-world research challenges. You will have the chance to learn about different research methodologies, data visualization techniques, and the practical application of analytical findings. This is an excellent stepping stone for individuals aspiring to build a career in data science, research, or analytics. Our client is committed to providing a supportive and stimulating learning environment where interns can make meaningful contributions.

Key Tasks:

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

Requirements:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

Our client is excited to offer an exceptional opportunity for a driven and analytical Graduate Trainee to join their team in **Ahmedabad, Gujarat, IN**, with a focus on remote work. This program is designed to provide recent graduates with hands-on experience in data analysis, equipping them with the skills and knowledge necessary to excel in the field. The Graduate Trainee will work closely with experienced data analysts, contributing to data collection, cleaning, processing, and interpretation for various business projects. This is an excellent pathway to kickstart a career in data science or business analytics.

Key responsibilities include assisting in the development of data models, performing statistical analysis, and creating visualizations to communicate findings effectively. The trainee will learn to use various data analysis tools and software, gaining practical experience in extracting meaningful insights from complex datasets. This role requires strong analytical and problem-solving abilities, attention to detail, and a willingness to learn. The ability to work collaboratively within a remote team environment is essential. This program emphasizes continuous learning and development, providing mentorship and exposure to real-world data challenges. Graduates will have the chance to make tangible contributions while building a strong foundation for their professional future.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

A dynamic and rapidly growing tech firm based in **Mysuru, Karnataka, IN** is looking for enthusiastic and bright Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to gain hands-on experience in the field of data science and analytics within a supportive and innovative environment. The trainees will work closely with experienced data analysts and scientists, contributing to various projects involving data collection, cleaning, exploration, and visualization. You will gain exposure to industry-standard tools and techniques used for data manipulation and analysis. Key responsibilities will include assisting in the extraction and processing of data from various sources, performing exploratory data analysis to identify patterns and trends, and helping to create insightful data visualizations and reports. The trainees will also support the team in building and testing basic analytical models. This internship program is designed to provide comprehensive training and mentorship, enabling participants to develop essential skills in data interpretation, statistical analysis, and reporting. The ability to learn quickly, a strong aptitude for quantitative reasoning, and a keen eye for detail are essential. While prior experience is not required, a genuine interest in data and a foundational understanding of mathematics and statistics would be advantageous. This role offers a chance to contribute to real-world business problems and develop a strong foundation for a career in data analytics. You will be part of a collaborative team, where learning and skill development are highly encouraged. The successful candidates will demonstrate strong problem-solving skills, excellent communication abilities, and a proactive attitude towards learning and contributing.

Responsibilities:

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

Our client is seeking bright and eager Graduate Trainees for their Data Analysis team. This is a fully remote position, ideal for recent graduates passionate about data, statistics, and uncovering insights. You will be trained to work with large datasets, perform statistical analysis, create visualizations, and contribute to data-driven decision-making across the organization. This is an excellent entry-level opportunity to build a career in data science and analytics.

Responsibilities:

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

This is a remote role open to candidates across India, allowing you to contribute meaningfully from anywhere. Join our team and embark on an exciting journey in the world of data analytics.Location: This role is **fully remote**. The specified location is for reference.