Senior Data Analyst, Marketing

1 week ago

Johannesburg, South Africa Visa Full time

Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.
**Join Visa: A Network Working for Everyone.**

Job Description**
Position Summary**

We are seeking an innovative and analytical thinker to support our CEMEA Regional Marketing team. As a measurement manager, 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
- Organize and manage multiple data science projects with diverse cross-functional stakeholders

**Qualifications**:
Professional Experience
- 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 a

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