Manager UX Analytics, Data Engineering

The candidate for this position will focus on leading the support for Funnel analytics, UX metrics, combined with API Data to analyze the journey of our OB Consumers.
Role
We are looking for a leader who:
• Manages and mentors a team of analysts to analyze large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth.
• Leads the Team in their efforts to scale by identifying data-driven opportunities and developing relevant supporting materials.
• Collects and synthesizes feedback from clients, development, product, and sales teams for new solutions or product enhancements.
• Applies knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
• Oversees data mining, model development, time series analysis, and forecasting.
• Creates highly predictive models using segmentation and regression techniques to drive improvements across operational performance, revenue, quality.
• Ensures the standardization of data-driven insights and advanced analytics solutions using tools such as Tableau, Alteryx, Snowflake, and MS Office suite.
• Develops effective working relationships with global teams and business partners.
• Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight.
All about You
• Extensive experience in the Payments/Financial Services Industry or depth of knowledge in a consulting field
• Proven experience in hands-on business analysis, modeling, segmentation, and data mining using large volumes of granular data to deliver analytical solutions.
• Strong skills in Tableau, Alteryx, Python, MS-Excel, and PowerPoint.
• Platforms/Environments: Snowflake, SQL, Tableau, Alteryx, Python.
• Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations, and highlighting inconsistencies.
• Strong understanding of the application of analytical methods and data visualization to support business decisions.
• Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.
• Excellent written and oral communication skills.
• The Manager, Data Engineering will support Mastercard Open Banking products through client data ingestion, processing, and coordination. A Manager, Data Engineering will:
oLead relationships with Mastercard Operations and Technology teams to facilitate the analytics tasks and diffusion of insights.
oAct as an expert resource within the team across subjects, including Mastercard's Data Warehouse, data compliance, source control, data validation, and testing.
oDevelop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible.
oLead the automation capabilities of the team. Implement techniques to optimize and routinize repeatable tasks for Test & Learn data setup.
oApply outstanding communication skills, project management skills, and reliability in promptly reacting to incoming requests with an estimated timeline and any needed clarifications, and meeting expressed timelines.
oMentor junior team members in terms of career, skillset, and team contributions.
oSet an example for and foster a high-performance collaborative workplace.
oComply with and uphold all Mastercard internal policies and external regulations.
Minimum job requirements:
• Bachelor's degree in an engineering or other quantitative field (e.g., Computer Science, Engineering, Operations Research). Master's degree preferred.
• Excellent English communication (oral/written) skills.
• Expertise and hands-on experience with RDBMS technologies, preferably with any of the following, Snowflake, Databricks, Microsoft SQL Server, the SSIS Stack and .NET.
• Proficiency with scripting languages (e.g., Powershell, Python, Bash, Korn Shell, AWK scripting, C Programming, Oracle SQL, PL/SQL).
• Proven self-motivated leader with experience working in teams spread across several geographies.
• Demonstrated excellent skills in the ability to innovate, think critically, and disaggregate problems. Able to provide oversight, validation, and quality control to own and team work product.
• Skilled at balancing multiple projects and differing project priorities.
• Flexible to work with global offices across several time zones.
Years of relevant experience: 5+ years
Fields of educational study: Computer Science, Engineering, Operations Research

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.