Data Analytics Manager
Data Analytics Manager
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1 Vacancy
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 datadriven decisionmaking 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 datadriven decisionmaking 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 userfriendly 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 Bachelors 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
- Bachelors 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 collaboration skills with the ability to work independently and effectively with global teams.
- Teamoriented collaborative diplomatic and flexible style with the ability to tailor datadriven results to various audience levels.
- Able to work unsupervised and efficiently while designing implementing and documenting processes to ensure highquality work.
- Detailoriented expected to ensure the highest level of quality and rigor in reports and data analysis.
- Exhibit intellectual curiosity and strive to continually learn.
- Flexible adaptable and able to think quickly.
- Strong verbal written and interpersonal skills are required.
- Experience in using Generative AI tools for reporting and analytics is preferred.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510% 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 119100.00 to 172600.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In 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 :
Fulltime
Employment Type
Full-time
