Visa Careers 2024 : Hiring Associate Data Analyst with Upto 45K/Month

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

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.

Adobe off campus drive 2024 : hiring for data science engineer

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

• 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

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.