Measurement Manager at Visa

Job Description
Position Summary

We are seeking an innovative and analytical thinker to support our CEMEA Regional Marketing and Digital Analytics delivery team. As a Data Scientist, you will be responsible for developing marketing analytics solutions for Visa’s issuer and merchant clients. Your models will address challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross channel marketing measurement and return on marketing investment (MROI) programs. You will be directly responsible for devising programs that solve for campaign execution and tracking, measuring the impact of digital and social experience on consumer behavior, and sizing internal and external factors that influence marketing and brand health.

Principal Responsibilities

• Work with internal clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa’s data
• Provide specific expertise around marketing measurement techniques (e.g., A/B testing test/control design), brand and advertisement tracking, marketing return on investment (MROI), impact across multiple cross-channel marketing activities, and optimization of marketing investment allocation
• Communicate with clients to understand the challenges they face and convince them with data
• Develop visualizations to make your complex analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
• Identify creative ways to combine Visa’s internal data with Visa’s sponsored consumer insights surveys and data from external competitive intelligence systems ( e.g., Euromonitor and Data Monitor) to produce reach actionable insights for marketing initiatives
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques
• Organize and manage multiple data science projects with diverse cross-functional stakeholders

Qualifications
Professional Experience

•  Minimum of 6+ years of analytics expertise in applying statistical solutions to business problems
•  Experience working in one or more of the Card Payments markets around the globe
•  Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
•  Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
•  Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
•  Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
•  Demonstrated ability to incorporate new techniques to solve business problems
•  Demonstrated resource planning and delivery skills

Technical Expertise

•  Expert knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/R/SQL/Python/SAS
•  Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
•  Experience with extracting and aggregating data from large data sets using SQL or other tools
•  Competence in Excel, PowerPoint and Tableau
•  Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)

Leadership Competencies

•  Demonstrates integrity, maturity and a constructive approach to business challenges
•  Role model for the organization and implementing core Visa Values
•  Respect for the Individuals at all levels in the workplace
•  Strive for Excellence and extraordinary results
•  Use sound insights and judgments to make informed decisions in line with business strategy and needs
•  Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups
•  Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions
•  Change management leadership

Additional Information

• 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.