Manager, Data Analytics and Engineering at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

210300.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Engineering, SQL, Hadoop, Hive, PySpark, Tableau, Power BI, Storytelling, Stakeholder Management, Python, Big Data Analysis, Data Visualization, Querying, Data Processing, Risk Controls

Industry

IT Services and IT Consulting

Description

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 Payment Ecosystem Risk and Controls is a Global Risk group that is tasked with the protect the Global Payment Ecosystem against threats and abuse by transforming risk controls, leveraging intelligence-driven solutions, and upholding Visa’s Rules and Standards. This is achieved through the deployment of risk quality control and/or compliance programs. The programs are deployed through Visa Rules and additional client guidelines and Visa performs quality control leveraging proprietary tools, specialized third party vendors, regional risk teams, and other stakeholders. The team also works with internal and external stakeholders to further its charter and initiatives. Essential Functions: This role is responsible for executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including Visa executives, issuing banks, acquirers, processors and merchants regulators. Success in this role requires strong analytical and data story telling skills for both executive and regional delivery. By collaborating with client-facing teams and functional leaders, you will provide data and insights that deliver mutual, tangible value to Visa and its clients through improved payment security. You will work on the innermost of Visa’s core data and system and contribute to the development of industry-leading capabilities to protect Visa and our clients from emerging payment threats. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include: Perform Program Operations function - analyze ecosystem compliance program design through data, assess impact with data simulations, solve data refute cases within defined SLAs Perform in-depth analysis and deliver insights on various regional & global priorities Contribute to a high performing culture that becomes the benchmark for excellence at Visa Define product requirements and roadmaps based on business needs, network rules & requirements, and industry best practices Ensure data driven decision making is a priority for clients, colleagues, and other internal and external stakeholders Knowledge of Visa’s products, services, and client engagement strategies. Analyze large datasets to identify trends, patterns, and key performance indicators . Develop and maintain Hive & Python (and spark) queries to extract, transform, and load data from various sources, including Hadoop and cloud-based platforms. Develop compelling data visualizations using Power BI and Tableau to communicate insights seamlessly to PMs/ Engineering and leadership. Partner with cross-functional teams (operations, technology, marketers) to translate data into actionable insights and drive strategic decision-making. Effectively communicate analytical findings to stakeholders at all levels, both verbally and in writing. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: This role is not approved for any sponsorship assistance now or in the future. (This includes support such as : J-1, F-1, CPT, or OPT and employment-based sponsorship such as: H-1B, H-1B1,E-3, O-1, TN and any EAD card holders that may need assistance in the future.) 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 Key Skills Required: Strong big data analysis and ability to turn data into insights Able to manage large datasets and derive actionable findings to support business objectives. Excellent proficiency in SQL, Hadoop, Hive, and PySpark Skilled at using advanced data tools for querying, processing, and managing distributed data environments. BI skills with Tableau or Power BI Capable of building interactive dashboards and visual reports to communicate complex data effectively. Storytelling and stakeholder management Can translate analytics into compelling narratives and collaborate efficiently with cross-functional teams. 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 Proficiency in data analysis and utilization of various data environments and tools. High-level understanding of manipulating data from a variety of sources. Big data experience (Hadoop, Hive, Spark), data visualization experience (Tableau, Power BI) and/or SQL experience are critical skills – this role is about both doing and delivering. Strong verbal, written, motivational and interpersonal skills are required. Good communication, presentation, and interpersonal skills. Working knowledge of scripting languages like Python, with a foundational understanding of machine learning concepts. A collaborative mindset with the ability to work effectively within cross-functional teams. Strong analytical and problem-solving skills with a passion for data-driven decision making. 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 this position is $131,600.00 to $210,300.00 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 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. Job Family Group: Technology and Operations

Responsibilities

This role executes analytics and reporting initiatives to deliver data-driven insights to internal and external stakeholders, including executives, banks, and merchants, focusing on improving payment security. Specific duties involve performing program operations analysis, assessing impact via data simulations, and developing Hive & Python queries to extract and transform data.