Data & Analytics Lead

## Data Analytics Lead Apply: This position is a hybrid of office/remote working: Brazil - S o Paulo: Full time: Posted Today: End Date: October 16, ** (6 days left to apply):RQ**Entity:FinanceJob Family Group:Finance GroupJob Description:**The Credit Data Analytics Lead supports bp s Trading Shipping business by using data, analytics, and technology to strengthen credit risk management and business decision-making.
This role partners with global teams to develop analytical solutions, enhance reporting capabilities, and deliver insights that support risk awareness, operational efficiency, and central initiatives.
## Job Summary### Credit Analytics Risk Insights* Support the development and enhancement of credit risk models, analytics, and reporting solutions.
* Analyze large and complex datasets to identify trends, concentrations, and portfolio insights.
* Develop dashboards, metrics, and decision-support tools that improve visibility of credit risk drivers.
* Translate data and analytical findings into clear business insights and recommendations.
### Data Management Technology* Manage and improve core credit data, reporting processes, and data quality initiatives.
* Build and enhance automated solutions, algorithms, and reporting tools to support business needs.
* Contribute to technology initiatives focused on automation, system enhancements, data integration, and process improvement.
* Use analytical and visualization tools such as Power BI, Python, SQL, or similar technologies.
### Collaboration Continuous Improvement* Partner with team members to understand data requirements and deliver effective analytical solutions.
* Promote data-driven decision-making through clear communication and engagement across teams.
* Support innovation by exploring new technologies, methodologies, and analytical approaches.
* Develop knowledge of credit risk frameworks, commercial drivers, and industry standard processes.
## Qualifications### Education* Bachelor s degree in Finance, Economics, Mathematics, Engineering, Statistics, Data Analytics, Computer Science, or a related quantitative field preferred.
* Equivalent combinations of education, professional experience, and transferable skills will also be considered.
### Professional Background* Relevant experience in analytics, risk management, quantitative analysis, finance, data science, business intelligence, or related fields.
* Experience working with data visualization, reporting, and analytical tools.
* Familiarity with credit risk concepts, financial models, or risk management frameworks is beneficial.
* Experience with tools such as Power BI, Python, SQL, VBA, Dataiku, Databricks, or similar platforms is advantageous.
### Skills Competencies* Strong analytical thinking and problem-solving abilities.
* Ability to work with large datasets and communicate insights effectively.
* Effective communication and stakeholder engagement skills.
* Collaborative approach and ability to work across diverse teams and functions.
* Curiosity, adaptability, and a continuous learning mindset.
* Comfort navigating ambiguity and solving problems iteratively.
* Interest in leveraging technology and data to drive business improvement.
* Advanced English proficiency.
## Work Location Shift Pattern* Full-time position.
* Negligible travel requirements.
* Relocation assistance not available.