Analista de Produto atuando na gestão do portfólio de produtos de seguros na Youse Seguros. Contribuindo para a evolução das ofertas e experiência do cliente com foco em resultados.
About the role
- Lead analytics strategy for Mastercard's digital products, driving business growth and data-driven decisions by collaborating with global teams and stakeholders.
Responsibilities
- Develop and implement the analytics strategy to support business goals and drive company growth for Digital, specifically for Authentication and Tokenization.
- Work closely with senior leadership of the global product team of the business units, finance, and regional teams to understand their analytical needs and deliver data-driven solutions.
- Lead development of reporting tools, including data collection, data transformation, and visualization, to standardize definitions and make it more accessible in a self-serving manner.
- Contribute to strategic projects through a data lens with a consultative approach with internal stakeholders.
- Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Lead and mentor a team of ~10 data scientists/analysts/engineers based in India and Portugal, fostering a culture of collaboration and continuous improvement.
- Apply quality control, data engineering practices and other standardized processes in place within the team.
- Be a leader in driving cross-team innovation, sharing and leveraging best practices.
Requirements
- Demonstrated experience in leading Analytics for large businesses, driving innovation to be more data-driven, including challenging the status-quo.
- Experience in working with executive business stakeholders, translating their business requirements into technical requirements, and subsequently leading the execution and presenting findings.
- Demonstrated experience in building and leading high-performing and globally distributed analytics teams.
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, Databricks, SQL Server, Microsoft BI Stack
- Experience with data visualization tools such as Tableau & PowerBI
- Excellent problem solving, quantitative and analytical skills
- Strong attention to detail and quality
- Team player, excellent communication (oral/written) skills
- Financial Institution or a Payments experience a plus.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Lead Data Scientist developing AI/ML solutions for Disney's media supply chain. Collaborating globally to drive innovation in complex media challenges.
Growth Data Scientist employed at Mercari to drive ML initiatives for business impact and user engagement.
Lead Data Scientist guiding AI innovation for Humana, developing AI systems to improve healthcare outcomes. Collaborating with teams to create interpretable and reliable AI solutions.
Data Scientist at Capital One creating machine learning models for customer management. Collaborating with teams to deliver insights from large datasets to enhance customer decisions.
Lead Data activities for North and South America at Air Liquide. Manage a team responsible for data strategies, conversions, and integrations in global ERP programs.
Data Scientist role at Novartis supporting biopharmaceutical development through data and statistical sciences. Aiming to optimize development processes with data flow management and insights.
HR Data Scientist advancing KLA’s HR Analytics capability through AI and predictive insights. Collaborating with HR partners to provide data - driven decision - making support.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.