Senior Analyst, Product Data & Analytics

Overview

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.

• 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.

• 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.

• 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.

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 to complete the online application process or during the recruitment process, please contact reasonable and identify the type of accommodation or assistance you are requesting.

Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Pay Ranges

Purchase, New York: $120,000 - $204,000 USD

Title And Summary

Senior Analyst, Product Data & Analytics

Overview

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.