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Team Summary:
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools.
Primary responsibilities
Possess a strong understanding of data interpretation, and the ability to effectively represent data using appropriate visualization techniques to deliver actionable insights.
Focus on the user experience to design interactive prototype with strong understanding of business context and data following the industry and Visa best practices.
Collect, analyze, transform, and interpret raw data from various sources. Design and develop BI solutions, data models and KPI measures to solve business problems.
Ability to create visualizations that are user-friendly, intuitive, and tailored to the needs of the end user, ensuring that the visual elements effectively convey the intended message.
Develop and maintain interactive dashboards and reports using BI tools such as Tableau, Power BI, D3.JS using visual elements like charts, graphs, maps, visual design principles.
Ensure dashboards and reports are functioning correctly, meet user requirements, and provide accurate, up-to-date insights and perform bug triage by systematically testing data visualizations for accuracy and functionality, identifying issues, prioritizing their resolution based on severity and impact, and ensuring all bugs are fixed in a timely manner.
Optimize dashboard performance by enhancing data processing speeds, improving query performance, and refining data models to ensure efficient, reliable, and timely data retrieval and analysis for business intelligence applications.
Conduct user reviews to gather feedback on BI solutions. Manage changes to reporting requirements and ensure they are properly implemented.
Ensure the security of data and BI solutions, implement data security measures, complying with all relevant regulations and best practices.
Set up and maintain the data visualization platform, manage access controls, and ensure system's overall health and performance using usage reports.
Document all processes, methodologies, and instructions related to the BI solutions, create comprehensive and accessible documentation, conduct end-user training sessions, and ensure all documentation is consistently updated and available to relevant stakeholders.
Responsible for deploying the dashboard as per user requirement and VISA standards.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Qualifications
• Bachelor’s degree in computer science, Engineering, or a related field.
• Proven experience as a BI Engineer / data visualization analyst or similar role for 2+ years
• Familiarity with shared services, consulting, financial services are a strong plus.
• Certifications in data visualization tools like Tableau Certified Data Analyst is a plus.
• Proficiency in data visualization tools such as Tableau, Power BI, QlikView, looker, D3.js
• Expertise in LOD( Level of Detail), DAX(Data Analysis Expressions), Power Query, M language, Tableau Prep to create measures and transform data.
• Advanced proficiency in SQL, including a deep understanding of queries, joins, stored procedures, triggers, and views, as well as experience in optimizing SQL for improved performance and efficiency.
• Comfortable with creating and maintaining database schemas, indexes, and writing complex SQL scripts for data analysis and extraction
• Ability to create prototype using UI/UX tools such as Adobe XD, Figma, Proto.io, Marvel
• Experience in interacting with data warehouses and data lakes, utilizing tools like pyspark, Apache Hadoop Amazon Redshift, snowflake and Amazon S3 to ingest and extract data for insights.
Good to have
• Proficiency in data visualization tools such as Tableau, Power BI, QlikView, looker, D3.js
• Experience in CICD/ Data Architectures/ Pipelines/ version control /Code Management.
• Experience with SQL for extracting, aggregating and processing big data Pipelines using Hadoop, EMR & NoSQL Databases
• Familiarity with ETL tools such as Sagemaker, Informatica PowerCenter, Microsoft SQL Server Integration Services (SSIS), Talend, IBM InfoSphere DataStage, and Oracle Data Integrator.
• Understanding of pipeline tools such as Apache Airflow , Apache Kafka, AWS Glue, Google Cloud Dataflow and Apache Beam
Non-technical skills
• Experienced in working closely with cross-functional teams and stakeholders to ensure understanding and usability of data visualizations.
• Continually stays updated with the latest trends and advancements in data visualization techniques and tools.
• Excellent problem-solving skills and strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication and interpersonal skills for managing relationships with stakeholders, strong presentation skills to effectively communicate data insights and visualizations to diverse audiences, with the ability to tailor the presentation to the audience's level of expertise.
• Ability to plan, prioritize, and manage time effectively, keep track of tasks and deadlines, maintain a tidy and systematic work environment, and coordinate resources to achieve goals in a timely and efficient manner.
• Take full responsibility for the BI projects, ensuring accurate and timely delivery of insights, and addressing any issues or inaccuracies in the data promptly and effectively.
• Ensure flawless execution by continuously experimenting with new methodologies, learning from past mistakes to improve processes, and focusing on delivering seamless, efficient, and accurate data analysis and reporting.
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
