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2 Weeks ago

: Data Analyst

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Varanasi, Uttar Pradesh, India
Information Technology
Full-Time
Dicetek LLC

Overview

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 Python
  • Technical 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), databases
  • Proficiency 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 open-source data analytics
  • Capacity to develop and document procedures and workflows.
  • Ability to carry out data quality control, validation, and linkage.
  • Ability to produce clear graphical representations and data visualizations.
  • Managing and designing the reporting environment, including data sources, security, and metadata
  • Providing technical expertise in data storage structures, data mining, and data cleansing.
  • Knowledge of data visualization software like Qlik, Power BI
  • Problem-solving & team working skills.
  • Accuracy and attention to detail
  • Adept at queries, writing reports, and making presentations.
  • Proven working experience in data analysis.

Pre-requisites

  • Bachelor’s 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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