Senior Analyst Product Data Analytics

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Analyst, Product Data & Analytics

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

• Are you excited about Data Assets and the value they bring to an organization?
• Are you an evangelist for data driven decision making?
• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data analytics in the company?

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

As a Senior Analyst in the Product Data & Analytics team, you will partner across product organizations and help them make data driven decisions. Primary responsibilities include performing data analysis on large data sets, delivering data-driven insights and recommendations, building reporting solutions to track performance, and partnering across the organization to drive product adoption. You will also support the development of new products and enhance existing solutions by working closely with global product teams and regional leads.

An ideal candidate should have strong data analytical skills, an understanding of the payments landscape, strategic thinking to drive insights from the data, and strong storytelling skills to communicate the findings.

• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
• Obtain data from multiple sources, collate, analyse, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
• Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
• Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
• Provide 1st level insights/conclusions/assessments and present findings via Tableau/Power
  
  BI dashboards, Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Lead, mentor and guide more junior team members.
• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Bring your Passion and Expertise

• 5+ years of business experience with a proven track record in data analytics, data mining, reporting, data product development, data product management, and/or consulting
• Financial Institution or Payments experience a plus.
• Proactive self-starter seeking initiatives to advance.
• Data architecture experience and experience in building data models a plus.
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Experience on Platforms/Environments:
  Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud.
• Exposure to Python, Scala, Spark, Cloud and other related technologies.
• Experience with data visualization tools such as Tableau, Domo, and/or Power
  
  BI is a plus.
• Excellent problem solving, quantitative and analytical skills.
• In depth technical knowledge, drive and ability to learn new technologies.
• Strong attention to detail and quality.
• Team player, excellent communication skills.
• Must be able to interact with management, internal stakeholders and collect requirements.
• Must be able to perform in a team, use judgment and operate under ambiguity.

Mastercard is a merit-based, inclusive, equal 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance…