Sr. Manager Data Analytics
San Francisco, CA, United States
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Job Description
Visa’s North America Product Innovation team drives growth and evolution of customer-centered, market-leading products and services, from the ground up. Bringing together product managers, category experts, design practitioners, strategists, and technologists, we tackle key portfolio challenges to unlock new growth opportunities and create purposeful new payment and commerce experiences to power global commerce ecosystems.
Responsibilities:
- Understand product requirements to better evaluate and track product performance. Drive the data and analytics strategic vision across organization for funnel optimization and help to accelerate customer acquisition and revenue growth.
- Execute, measure, and prioritize A/B or multivariate tests using analytics to understand and measure customer journeys.
- Bring clarity to product KPI’s, performance drivers, and competitive trends.
- Use data to analyze and evaluate, transform data and insights into business recommendations, communicate learnings and recommendations to various audiences of all levels with storytelling presentations.
- Ability to work with Product and engineering teams to define tracking requirements.
- Be a central analytics leader across cross-functional teams, driving analytics thought leadership and supporting build- out of performance reporting dashboards that scales with the global business.
- Ability to take initiative and manage deadlines and handle multiple priorities simultaneously with minimal supervision.
- Proven experience leading data projects and managing a team.
- Advanced Excel knowledge.
- Strong understanding of and experience with data visualization tools such as Tableau, PowerBI, Looker, etc.
- Proficient in data management practices and database technologies (SQL, NoSQL)
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
- 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
- 1-2 years’ experience leading teams of data analysts or data scientists with a strong ability to coach and develop others.
- Expert in Data analysis and Data visualization tools, such as MS Excel, Power BI, SQL, Tableau, etc.
Preferred Qualifications:
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- 7+ years of experience driving analytical solutions and roadmaps for SaaS products.
- Proven ability to organize and lead cross-functional analytical projects end-to-end.
- Strong data storytelling skills and ability to influence senior leaders.
- Strong technical and quantitative background with outstanding problem solving and analytical skills and the ability to synthesize situations for corresponding solutions, options and action plans to impact efficiency, and improvements to the business.
- Prior hands-on experience in advanced statistical analysis and controlled experimentation
- Strong practical ability to read and write SQL required, experience with data and analytics solutions on cloud platforms including AWS and big data technologies preferred.
- Bachelor’s degree in a quantitative field or business/economics or equivalent work experience, advanced degree preferred.
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/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, such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 157,700.00 to 228,650.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Tags: AWS Big Data Data analysis Data Analytics Data management Data visualization Economics Engineering Excel KPIs Looker NoSQL PhD Power BI SQL Statistics Tableau
Perks/benefits: Competitive pay Equity Health care Insurance Salary bonus Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs