Data & Analytics Manager

Company Description

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.

Job Description

Visa University (VU) is seeking a Data & Analytics Manager to join the global team. You will support the global and regional teams by articulating the impact of VU learning initiatives and providing operational insights for data-driven decision-making through your expertise in data analysis and visualization. You will play a crucial role in data governance and process management and contribute to our learning data experience.

Responsibilities:

Business and Data Analytics

• Be an innovative thinker passionate about brainstorming and implementing creative ways to use learning and secondary data (such as people or talent data) to measure the impact of Visa University programs.
• Extract and understand data to form opinions on how to best help and derive relevant insights for our stakeholders.
• Collaborate with global and regional learning teams to understand their reporting and analytics needs and deliver solutions that meet these needs.
• Work with stakeholders throughout the organization to identify opportunities for leveraging learning data to drive business solutions.

Visualization & Reporting

• Act as a strategic business partner, fostering strong relationships with key stakeholders to promote a data-driven decision-making culture.
• Translate complex data sets into clear and actionable visual insights that resonate with various stakeholders.
•  Partner with internal stakeholders to understand their data requirements and provide expert advice on potential data solutions and visualizations.
•  Continuously innovate and improve dashboard designs to ensure they are user-friendly, intuitive, and aligned with business goals.
• Leverage advanced visualization tools such as Tableau, Power BI, advanced Excel, and Watershed to develop and maintain interactive and visually appealing dashboards and reports.
• Conduct needs assessments and gather requirements to ensure that dashboards meet the specific needs of different departments and teams.
• Provide training and support to stakeholders on interpreting and utilizing dashboards effectively.

Data Engineering

• Work extensively with SQL databases to create, manage, and optimize views and tables for data integration and reporting purposes.
• Write and maintain complex SQL queries to extract, transform, and load (ETL) data from various sources.
• Combine data from multiple sources to create a unified view of business performance and support comprehensive analytics.
• Use Python for data analysis and manipulation, and to automate tasks where necessary.
• Implement and oversee data governance policies and procedures to ensure data accuracy and security.
• Perform quality assurance on data and deliverables.
• Design and manage data processes, from data collection and storage to analysis and reporting.

Qualifications

Basic Qualifications

• 5 or more years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Bachelor’s degree in Computer Science, Business Analytics, Data Science, Statistics, or a related field.
• Proven experience in a similar role.
• Proficiency in advanced visualization tools such as Tableau and Power BI.
• Proficiency in SQL
• Demonstrable programming ability in different languages (e.g., Python).
• Experience with data governance and process management.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with HR/Learning data preferred, but not required.
• Excellent communication and collabo