Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
About the role
- Leads Data & IA teams at Sicredi to enhance the analytical culture and drive value generation. Collaborates with various teams to implement effective data science practices.
Responsibilities
- Lead the organization’s central teams responsible for promoting and enabling the use of analytics and data science across the institution;
- Propose improvements and lead the relationship between the Center teams and the business data teams, driving the evolution of the federated operating model;
- Lead Sicredi’s Data & AI community, fostering engagement and the development of these disciplines to add business value;
- Promote value generation for the business driven by analytics and data science, seeking to advance the maturity and autonomy of business data teams (spokes);
- Act as a change agent and driver of data culture evolution by building relationships with peer areas, business units, product teams and vendors;
- Provide and enable the use of innovative tools, analytical methods and data products aligned with business needs;
- Lead the development of enabling components of the data science platform and promote their adoption and efficient use;
- Participate in and represent analytics and data science topics for Sicredi at national and international events, seeking connections;
Requirements
- Be a role model of excellence for your team;
- Have excellent communication and presentation skills, as you will be a promoter and evangelist of the analytical culture;
- Have experience managing leaders and technical teams;
- Have an ambidextrous mindset, allowing space for challenging ideas and viewpoints;
- Be resilient, flexible and agile;
- Have strong ability and willingness to transit across different areas to exert influence, focusing on achieving common objectives in the federated model;
- Have experience working with matrix teams (federated model);
- Be skilled at time management;
- Be passionate about learning and always open to new knowledge;
- Have logical reasoning, analytical ability and creativity to find solutions;
- Be proactive and creative;
- Promote diversity;
- Experience leading Data & AI teams;
- Experience working in large enterprises within Data & AI teams;
- Experience with ML/AI projects, from prototyping to model delivery;
- Experience in developing Data & AI communities;
- Experience in structuring corporate Data and Analytics teams;
- Experience with DevOps tools (Docker, CI/CD);
- Experience in time series data analysis, modeling, and machine learning libraries;
- Experience with programming languages SQL, Python and/or R, Java and/or Scala;
- Experience with orchestration frameworks and MLOps stack;
- Experience with traditional Data Science techniques (clustering, A/B testing, etc.);
- Experience working with cloud computing (AWS, Azure and/or GCP) and Databricks;
- Experience with data analysis and visualization tools (Power BI, PowerApps, Report Builder);
- Knowledge of data virtualization (Denodo) is desirable;
Benefits
- Fixed 14th and 15th salary payments;
- Profit sharing / Results participation (depending on seniority);
- Health and dental plans with no co-payment;
- Wellness programs via Wellhub (formerly Gympass): Nutrition, Psychology, Occupational Health, Massage, running group and local gym;
- Meal and food vouchers – flexible allocation (%) between meal and food cards, with no co-payment;
- Extended maternity and paternity leave;
- Childcare or nanny assistance for children up to 6 years and 11 months;
- Assistance for children with disabilities, no age limit;
- Life insurance;
- Private pension plan up to 7% of salary;
- Training platform – Sicredi Aprende, with a wide range of courses;
- 40-hour workweek – using a time bank system;
- Remote work allowance (except for positions that require 100% on-site presence).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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