Data Analyst

7 - 10 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Min Work Experience 7-10 YearsRole: Data Analyst

Key Responsibility

Core Banking domains knowledge covering, Customer, KYC, Trade, Payments, loans deposits etc. Risk Management experience on BASEL, IFRS9, Risk framework etc.Strong mathematical skills to help collect, measure, organize and analyze data.Knowledge of programming languages like SQL, Oracle, R, MATLAB, and PythonTechnical proficiency regarding database design development, data models, techniques for data mining, and segmentation.Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databasesProficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.Adept at using data processing platforms like Hadoop and Apache Spark, Hadoop opesource data analyticsCapacity to develop and document procedures and workflows.Ability to carry out data quality control, validation, and linkagAbility to produce clear graphical representations and data visualizations.Managing and designing the reporting environment, including data sources, security, and metadataProviding technical expertise in data storage structures, data mining, and data cleansing.Knowledge of data visualization software like Qlik, Power BIProblem solving & team working skills.Accuracy and attention to detailAdept at queries, writing reports, and making presentations.Proven working experience in data analysis.

Pre-requisites

Bachelors degree from an accredited university or college in computer science.Work experience as a data analyst or in a related field.Ability to work with stakeholders to assess potential risks.Ability to analyze existing tools and databases and provide software solution recommendations.Ability to translate business requirements into non-technical, lay terms.High-level experience in methodologies and processes for managing large-scale databases.Demonstrated experience in handling large data sets and relational databases.Understanding of addressing and metadata standards.High-level written and verbal communication skills.

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