Data Analyst

Min Work Experience 7 to 10 Year
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 nontechnical, 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.
Roles and Responsibilities
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
Main Ask Who can work with downstream systems to collate the data requirements by working with different teams to document the data points and good in preparing flow diagrams.
Core Banking domains knowledge covering, Customer, KYC, Trade, Payments, loans deposits 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 linkageAbility to produce clear graphical representations and data visualizations.
Managing and designing the reporting environment, including data sources, security, and metadata