Analyst - Customer Relationship Marketing - Miami, United States - Visa Europe

Description

**Analyst - Customer Relationship Marketing**

Marketing

Full-time

Date: Job Number: REF40256B **Company Description**

As the worlds leader in digital payments technology, Visas mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The companys dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

**Youre** an Individual. **Were** the team for you. **Together,** lets transform the way the world pays.

**Job Description and Responsibilities**

**Position Details:**

The Customer Relationship Marketing (CRM) Analyst is part of the Global Marketing Analytics team within the Global Marketing Solutions function and will focus on CRM for Visa and its clients, in close partnership with the Global Marketing Capabilities team. The Global Marketing Capabilities team works with Visa Marketers and Visa clients around the globe to utilize 1st Party customer opt-in data to deploy CRM and digital marketing campaigns that deliver strong ROI. We apply analytic and statistical techniques to measure the impact of marketing on business outcomes, determine what worked well and less well, predict potential outcomes, and advise on optimizing strategy and tactics to drive highest impact and ROI.

Our toolkit spans a range of approaches and methodologies, from query-based descriptive statistics, to test design and advanced modeling techniques. You will join a team of highly skilled statistical modeling experts with solid business experience and technical knowledge in applying advanced marketing analytics to measure, predict, and optimize the effectiveness of marketing initiatives.

**Responsibilities:**

Analyze Visa and client 1st-Party transaction data to develop business insights via automated reporting tools and manual data science.

Partner with Marketing leads and CRM strategists to communicate data-driven insights so those partners can evolve insights into strategies and tactics.

Communicate with marketing teams and agency partners to fully understand campaign executions, measurement requirements, and potential implications of analytical findings.

Analyze transactional data via automated tools and manual data science to develop ROI reports that quantify the results of marketing campaigns.

Provide guidance and support to marketing teams to design and execute campaign experiments that will deliver crucial learnings.

Design learning plan agendas to test and learn critical business questions. This should be achieved by partnering with regional marketing and media teams at the initiative design phase to define the learning needs, quantify the potential uplift and influence them to design the most optimal marketing campaign to achieve business objectives.

Act as lead subject matter expert for Visa and Marketing Services CRM data store and key processes.

Assist with macro business cases within Visas annual planning cycles to inform resourcing and budgeting.

Build strong working relationships and rapport to ensure smooth multi-directional collaboration with all stakeholders involved.

Actively participate in process improvement and meta-learnings initiatives as a regional lead of our global program.

**Qualifications**

**Basic Qualifications**

Bachelor's Degree with 2 - 4 years of relevant work experience

**Preferred Qualifications**

Bachelors degree in a quantitative field like Economics/Econometrics, Statistics, Operations Research, Computer Science, or Engineering.

2 - 4 years of hands-on marketing analytics experience in a professional environment or 1+ years with an advanced degree in Marketing Science, Data Science, Statistics, Economics/Econometrics, Operations Research, Computer Science, or Engineering.

Hands-on experience in data processing, visualization, and analysis in Excel and SAS environment or equivalent.

You have excellent written and verbal communication skills, including the ability to clearly articulate analyses and findings to senior management and to translate analytical insights into actionable recommendations.

Excellent time and project management skills as well as motivation to succeed in a fast-paced global environment.

Experience with Bayesian statistics and as many of the following: R / Hadoop / SQL / Tableau or equivalent.

Experience in the application of end-to-end test & learn initiatives, including setting learning agendas based on business objectives, designing experimental frameworks, and analyzing data for causal inference.

Demonstrated ability to influence decision-makers in a data-driven way and to turn complex analyses into business-growing insights.

Experience with forecasting and/or market sizing for new business initiatives.

Experience in the payments industry.

Experience with building business cases and revenue forecast models.

**Additional Information**

**Physical Requirements:**

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment (phones and computers), reach with hands and arms.

*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.*

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