EXL

Analyzes business data and runs outsourced operations

Data Analyst

Data Management +1Confirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 3 years of professional experience as a Data Analyst.
Experience with SQL, PySpark, and Python, with banking-domain knowledge in credit and lending.
Working knowledge or experience with big data frameworks such as Hadoop, Hive, and Spark.
Hands-on experience with query languages such as HQL or SQL (Spark SQL) for data exploration.
Ability to determine data mappings needed to join multiple datasets across multiple sources.
Experience documenting data mappings, subsystem designs, technical designs, and business requirements.
Exposure to logical-to-physical mapping and data processing flows to measure consistency.
Understanding of entity-relationship diagrams and data modeling concepts.
Exposure to data quality validation, data management, data cleaning, data preparation, and data schema analysis.
Exposure to working in an Agile framework.
Graduate in Computer Science, Data Science, or a related field.
1–2 years of experience in data engineering or a related field.
Ability to translate business problems into analytical problems and identify relevant solutions.
Overall business understanding of the banking, financial services, and insurance domain.
Ability to provide analysis and recommendations for business problems.
Ability to conceptualize data-driven solutions for business problems across multiple businesses or regions to support efficient decision-making.
Ability to use data to improve customer outcomes through insight and challenge.

Responsibilities

Work with the data model or asset-generation team to identify critical data elements and determine mappings for reusable data assets.
Understand business requirements from product or project stakeholders, break them into simpler stories and tasks, and map tasks to the solution’s logical model.
Map business entities to technical attributes and clearly define transformation logic.
Deliver assigned tasks on schedule and to the required quality.
Work closely with team leads and contribute to project delivery.
Understand or define architecture and discuss its pros and cons with the team.
Participate in brainstorming sessions and suggest architecture or design improvements.
Work with other team leads to have architecture or design reviewed.
Keep stakeholders updated on project and task status, risks, and issues.

Desired Qualifications

Knowledge of credit risk frameworks such as Basel II, Basel III, IFRS 9, and stress testing, including understanding their drivers.

● 3+ yearsof professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.

● SQL, Pyspark, Python with Banking Domain knowledge - Credit & Lending.

Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.

● Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.

● Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.

● Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.

● Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.

● Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.

● Understanding of ER Diagram and Data Modelling concepts

● Exposure to Data quality validation

● Exposure to Data Management, Data Cleaning and Data Preparation

● Exposure to Data Schema analysis.

● Exposure to working in Agile framework.

● Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous

Graduate in Computer Science, Data Science, or related field. 1-2 years of experience in data engineering or a related field.

Ability to convert business problem to an analytical problem and then finding pertinent solutions
Overall business understanding of BFSI domain
Providing high-quality analysis and recommendations to business problems.
Efficient project management and delivery
Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
Focus on driving efficiency gains and enhancement of processes.
Use of data to improve customer outcomes through the provision of insight and challenge

● Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.

● Mapping of business entities to technical attributes with the logic for transformation defined clearly.

● Be accountable for the delivery of the tasks in the defined timelines with good quality.

● Working with the team leads closely and contribute to the smooth delivery of the project.

● Understand/define the architecture and discuss the pros-cons of the same with the team.

● Involve in the brainstorming sessions and suggest improvements in the architecture/design.

● Working with other teams leads to getting the architecture/design reviewed.

● Keep all the stakeholders updated about the project, task status, risks, and issues if any.

EXL

Data Analyst

About the Job

Requirements

Responsibilities

Desired Qualifications

About the Company

EXL

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