Business Data Analyst driving data analysis and mapping in large - scale applications for the insurance domain. Collaborating with technical and business teams while ensuring data quality and standardization.
About the role
- Data Analyst responsible for providing insights by analyzing data for decision-making in the financial sector. Collaborating with various departments to enhance analytical maturity and identify opportunities.
Responsibilities
- Integrate and organize data from multiple sources, ensuring structure, consistency, and reliability.
- Perform exploratory analyses to identify patterns, trends, and business opportunities.
- Develop and maintain dashboards and reports to facilitate monitoring of key indicators.
- Ensure data quality by correcting inconsistencies and proposing continuous improvements.
- Support analytical models by preparing datasets and contributing to validations.
- Communicate insights clearly, turning data into actionable recommendations.
- Contribute to digital transformation initiatives and the modernization of analytical workflows.
- Create standards, templates, and best practices to strengthen the team's analytical maturity.
- Work collaboratively with business teams and other ANBIMA areas to ensure the integrity of processed information.
- Collaborate on integrating new data sources that can enrich the quality and depth of KPIs.
- Design automated monitoring routines, alerts, and controls for critical KPIs to meet specific business needs.
- Act pragmatically and delivery-oriented: maintaining focus, prioritization, and clarity of the area's objectives.
- Work in a fast-moving environment with multiple simultaneous demands and challenges.
Requirements
- Bachelor's degree in Economics, Data Science, Data Engineering, Mathematics, Statistics, or related fields.
- Experience in the financial and capital markets, with background in Asset Management and a focus on the investment funds segment.
- Practical experience with fund industry processes, products, risks, and routines, including handling market indicators, economic data, and creating storytelling to support analyses and decision-making.
- Expertise in Python for data manipulation and analysis, building automations, ETL pipelines, and supporting the development of statistical and analytical models.
- Experience with SQL for advanced queries and query performance optimization, as well as for data integration, modeling, and governance.
- Experience with Power BI and Tableau in building dashboards, defining strategic KPIs, visualization, and data storytelling. Advanced Excel skills, including macros (VBA), automation of routines, cross-referencing datasets, and complex analyses.
- Hands-on experience with large-scale data manipulation, organization, cleaning, processing, and structuring of high-volume datasets.
- Knowledge of Dataiku is desirable for working with analytical workflows and automations.
- We are looking for a resilient and adaptable professional able to operate in an environment of constant change and multiple simultaneous demands and challenges.
- A versatile and flexible professional, capable of working in diverse contexts with dynamic requirements and varying degrees of complexity.
- Strong, concise communication skills required to convey ideas clearly in both technical and business contexts.
Benefits
- Meal voucher (Vale Refeição) R$ 1,177.00
- Food voucher (Vale Alimentação) R$ 925.00
- Health insurance
- Dental insurance
- Hybrid work model
- Life insurance
- Private pension
- Home office allowance
- 6-month parental leave for all ANBIMA employees
- Funeral assistance
- Partnerships, birthday day off, and more...
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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