Manager in Data Science developing best in class strategies for insights and analysis activities on assigned clients. Managing the team and serving as a point of escalation as needed.
About the role
- Analyst role focusing on data-driven insights and portfolio management in education sector at YDUQS. Collaborating across teams to enhance product lifecycle and performance.
Responsibilities
- Support in defining portfolio priorities: contribute data-driven analyses and criteria to prioritize launches, maintenance, and rationalization of offerings;
- Management of offer/product records: organize and oversee end-to-end execution of workflows, ensuring SLAs, deadlines, and alignment with all stakeholders;
- Organization and consolidation of databases: structure, update, and maintain the portfolio databases, ensuring consistency, quality, and reliability of information;
- Creation of executive reports and dashboards: develop analytical and visual materials, translating data into clear insights to support management and executive decision-making;
- Ongoing monitoring of the long tail: analyze performance, identify optimization opportunities, and propose actions to improve portfolio profitability and efficiency;
- Organization of recurring cadences and review forums: structure regular portfolio review agendas, prepare analytical materials, and support the facilitation of meetings.
Requirements
- Bachelor's degree or equivalent;
- Experience structuring analyses and transforming data into executive reports and dashboards that generate actionable insights for decision-making;
- Ability to organize cross-functional workflows, monitor deadlines, ensure alignment, and enforce governance in portfolio processes;
- Strong verbal and written communication skills to align expectations, document decisions, and collaborate with multiple teams;
- Ability to oversee the product lifecycle, identifying opportunities for launches, optimization, maintenance, or portfolio rationalization;
- Proficiency in Excel (pivot tables, financial formulas, structured analyses) and Power BI for building reports and dashboards;
- Knowledge of Python applied to data analysis;
- Knowledge or experience with Artificial Intelligence applied to analysis, automation, or process optimization.
Benefits
- Tuition assistance of up to 100% for employees, legal dependents, and household members (parents and siblings), allowing up to three simultaneous scholarships;
- Health insurance with full subsidy for the employee and partial coverage for family members; employees are responsible for co-payments;
- Optional dental plan to support oral health;
- Meal allowance or food voucher with a choice of options to suit your needs;
- Wellhub or Totalpass for flexible gym options;
- Wellz: a platform focused on employees' mental and emotional health offering various types of support, including access to individual online therapy;
- Wellbeing and perks club with a dedicated program and exclusive benefits;
- Flexible dress code to support our diversity;
- Life insurance;
- Partnership with SESC;
- Corporate University on our exclusive portal, Educare;
- Growth opportunities — currently more than 60% of vacancies are filled through internal selection processes.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Director and AI & Data Lead shaping and expanding Guidehouse’s AI and analytics capabilities for financial institutions. Leading cross - functional teams in AI solution delivery and business development.
Senior Data Scientist applying advanced analytics and data science techniques for P&C insurance solutions. Collaborating with stakeholders to improve pricing accuracy and risk management.
Data Scientist AI developing end - to - end AI solutions for Airbus. Partnering with business functions to translate challenges into AI opportunities and support AI capability teams.
Data Scientist role at Unimed Porto Alegre developing analytics and AI solutions. Focus on data modeling and machine learning for better decision - making in healthcare.
Data Science Specialist responsible for developing scalable machine learning solutions and mentoring team members at Comgás, enhancing data - driven decision - making processes.
Data Science Specialist at Comgás leveraging AI for business impact through technology innovation. Transforming complex business challenges into scalable analytical solutions.
Manager, Data Science in Oncology supporting data engineering and R&D projects at Johnson & Johnson. Leading technical contributions and collaborating with diverse teams in healthcare data.
Join Johnson & Johnson as Associate Director in Data Science. Focus on transforming neuroscience clinical trials through AL/ML and digital health technologies.
Manager in Data Science for Oncology, supporting data workflows and engineering requirements in R&D. Collaborate with technical teams to deliver AI - ready data applications for innovative medicine.