MasterCard jobs - Analyst Analytics and Metrics

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.

Job Title
Analyst, Analytics Metrics The Cyber Intelligence Solutions (CI) team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercard s various customer segments. Cyber Product Integration team in CI focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services across CI and drive efficiency, re-usability and increase speed to market for our products and services.
The candidate for this position will focus on supporting Go-To-Market and Sales Enablement leveraging data analytics to enable data-driven sales and decision making across all CI products, services and processes.
Role

We Are Looking For Team Members Who

Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth.
Support Regional Sales Team in their efforts to scale the Sales effort by identifying data-driven opportunities and developing relevant supporting materials.
Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
Data mining, model development, time series analysis, forecasting.
Create highly predictive models using segmentation and regression techniques to drive profits
Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals
Review analytics end-products to ensure accuracy, quality and timeliness.
Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations.
tStandardization of data driven insights and advanced analytics solutions using tools such as Python, SQL 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

Experience in Payments/Financial Services Industry and/or cyber security
Experience in hands-on business analysis, modelling and segmentation and data mining using large volumes of granular data to deliver analytical solutions.
Strong SAS, Hadoop, Python, R, MS-Excel and PowerPoint skills.
Platforms/Environments: Unix, SAS, SQL, Netezza, VBA, Microsoft BI Stack
Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies.
tStrong understanding of the application of analytical methods and data visualization to support business decisions.
tAbility 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
tExcellent written and oral communication skills
Due to COVID-19, most of our employees are working from home. We ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know we re all in this together.

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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