Job Details

Senior Manager, Sales Analytics Data Engineer

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 #LifeatVisa.

Job Description

Visa's Global Sales & Commercial Operations team supports the execution and delivery of key global initiatives and planning activities across the company. Our mandate is to develop, design, and execute the strategic direction for Visa's business operations and global sales organization, be the super connector for the markets, regions, global groups and bring a consistent voice and 'One Visa' mindset.

This role reports into the Sales Analytics organization focused on data engineering, business intelligence, and data science. This Senior Manager will be part of a team that partners with various teams globally to enable faster decision making, data democratization, and self-service through building innovative, and scalable best in class data marts and dashboard solutions. Our goal is to empower and enable our business partners to glean valuable insights from our tools to support their interactions with clients and sales initiatives. The individual will be responsible for leading data initiatives including data engineering and report development for sales professionals and leadership.

We are looking for an established individual contributor who is comfortable engaging with business owners, data enthusiasts, and technology teams. Successful candidates have strong experience in developing complex data solutions for business intelligence initiatives. This role will be hands-on focused on building data pipelines and solutions at scale and with a focus on sustained operational excellence.

• Deliver medium to large data engineering projects either individually or as part of a project team.
• Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, SQL etc.
• Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement BI data sets.
• Ensure processes are automated and scalable data flows for business owners.
• Develop solutions within an agile development process leveraging Visa's single source of truth (SSoT) framework.
• Build and maintain high performing ETL processes in Hadoop including data quality and testing including operational production support.
• Participate in business requirements gathering, effort sizing, and architecture planning.
• Communicate complex concepts and the results of analyses in a clear and effective manner.
• Provide coaching and project mentorship to lower-level professionals.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

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

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Visa experience or knowledge of payments industry.
• Experience with visualization software (e.g. Tableau/PowerBI).
• Experience with AWS, Azure, Snowflake, or Databricks.
• Advanced knowledge of SQL with experience with HQL, Presto, etc.
• Experience with Python, Spark, and exposure to scheduling tools like Airflow/Tuber.
• Experience with creating last-mile analytical data sets for reporting and visualization tools (e.g., Tableau, Power BI, etc.).
• Robust understanding of data management systems and processes within the sales ecosystem (source systems, data feeds, reference data management, ETL, data modeling, data marts, etc.).
• Experience working in an Agile or fast-paced and dynamic environment.
• Effectively communicate status, issues, and risks in a precise and timely manner.