Senior - Data and App Modernization

BSR & Co; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A financial services firm in Gurugram is seeking a skilled data analyst to enhance internal processes through data-driven insights. The ideal candidate should possess strong Python and SQL skills and a solid understanding of banking operations. Responsibilities include analyzing data, developing pipelines, and optimizing data integrity. Educational qualifications are open to graduates or postgraduates. This role offers a challenging opportunity to support initiatives in credit risk analysis and fraud detection.

Qualifications

• Proven experience in data analytics and large datasets.
• Strong SQL and Python skills, including Pandas and Numpy.
• Experience with PySpark for data processing.
• Understanding of Hadoop ecosystem and data engineering concepts.

Responsibilities

• Implement process improvements and redesign infrastructure.
• Analyze large datasets for actionable insights.
• Develop data pipelines and maintain data quality.
• Collaborate with various stakeholders to support data needs.

Skills

Data analytics

Python (Pandas, Numpy)

SQL

PySpark

Hadoop

Data modeling

ETL processes

Financial products knowledge

CI/CD pipelines

Education

Any graduate or post graduate

Job description

Responsibilities

Functional Skills

• Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
• Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
• Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
• Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
• Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.

Technical Skills:

• Analyze large datasets to derive actionable insights and support decision-making processes.
• Develop and maintain data pipelines using PySpark and other data processing tools.
• Write efficient SQL queries to extract, transform, and load data from various sources.
• Implement data models and schemas to organize and optimize data storage and retrieval.
• Perform data normalization and denormalization to ensure data integrity and accessibility.
• Collaborate with data engineers to centralize and manage data assets.
• Ensure data quality through validation and cleansing processes.
• Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.

Ideal candidate skills:

• Proven experience in data analytics and working with large datasets.
• Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
• Strong SQL skills for querying and managing databases.
• Experience with PySpark for large-scale data processing.
• Basic understanding of Hadoop and its ecosystem.
• Familiarity with data engineering concepts and best practices.
• Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
• Understanding of data centralization, cardinality, and data quality principles.
• Good to have experience in CI/CD pipelines and tools.
• Deep understanding of banking operations, financial products, and regulatory frameworks
• Experience with data modeling, ETL processes, and statistical analysis
• Prior experience in retail or corporate banking analytics
• Analyze banking data including customer transactions, loan performance, and financial statements
• Support credit risk analysis and fraud detection initiatives
• Maintain and optimize banking databases and data pipelines

Qualifications

Any graduate or post graduate

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Location

8TH FLOOR, BUILDING NO. 10, Gurugram, Haryana, 122002, IN