Senior Manager, Sales Analytics Data Engineer

Visas Global Sales & Commercial Operations team supports the execution and delivery of key global initiatives and planning activities across the mandate is to develop design and execute the strategic direction for Visas 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 Visas 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 Visas 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.

Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 169100.00 to 245400.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.

Remote Work :

No

Employment Type :

Full-time