Data Visualization & Business Intelligence Specialist
Job details
JOB DESCRIPTION This person will be a key member of Data Transformation team and will be responsible managing the design, development, and implementation of data visualizations and reports to support as per business needs. JOB RESPONSIBILITIES •Apply data analysis and processing by automation using data transformation tools and interfacing to databases. •Developing best practices for data coding to ensure consistency within the system •This person will be ensuring quality data creation, data visualization, data flows across systems. •Optimize database queries and data processing workflows to achieve high performance and efficiency. •Develop, maintain documentation for data dictionaries, data models, and data transformation processes. •Collaborate with various stakeholders like IT, data engineer and vendors to create efficient and scalable data models that facilitate data integration. •Uses data expertise and a strong understanding of business problems, IT strategies, issues and priorities to perform data analysis, identify and resolve data issues. •Understand internal & external data streams, existing tools and democratize data to Business units. •Researching new technologies and constantly updating knowledge •Drive & implement of a comprehensive data transformation strategy that aligns with the organization's goals and objectives. •Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders JOB SKILLS Collaboration Teamwork JOB REQUIREMENTS •Degree in a related field preferably (Banking, Business, Finance, Economics, Computer Science, and Statistics). •More than 8 years of experience is preferred •Strong in data visualization, data science and analytics skills in financial services domain. •Hands-on Experience in visualization tools like OAS/Tableau/Power BI. •Hands-on knowledge with Open source tool such as Python/R with experience in ML and AI. •Ability to understand data available in bank and create roadmap of data enrichment with partnership with external partners. •Ability to manage diverse team of business stakeholders and analysts. •Strong experience in consuming data models, developing SQL and articulating best practices in end-user
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