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Чётко очерченная аналитическая роль с высокой самостоятельностью в крупной продуктовой компании, хорошими льготами и современным стеком данных. Зарплата не указана, поэтому оценить компенсацию сложно.
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Текст:
Hirify AI/Оригинал
TL;DR
Data Intelligence Specialist (Collections & New Businesses) (Analytics Engineering/BI): Building data foundations, production dashboards, reporting routines, and metric logic for collections across new business initiatives with an accent on data modeling, data quality, and automated reporting. Focus on validating performance figures, surfacing anomalies, and translating complex data findings into clear insights for business and senior audiences.
Location: São Paulo, São Paulo, Brazil; hybrid model with remote work and in-person days each month
Company
Grupo hirify.global is a large Latin American housing platform that develops technology and solutions for the real estate industry, including large-scale artificial intelligence applications.
What you will do
Model and build data layers for collections across new products and business initiatives, including tables, entities, events, and aggregations.
Map source data, identify instrumentation gaps, and maintain data quality, consistency, documentation, and reliability.
Build and maintain dashboards, recurring reporting routines, and auditable metric logic for initiative performance.
Automate recurring reporting outputs and support management and leadership forums.
Conduct queries, data cuts, and ad hoc analyses; validate reported figures and identify anomalies or unexpected patterns.
Translate technical work and data findings into clear explanations for business and senior audiences.
Requirements
Experience in analytics engineering, data analytics, or business intelligence roles.
Prior experience in credit, collections, or recovery, with knowledge of relevant metrics and lifecycle logic.
Advanced SQL and ownership of production dashboards used for recurring business management.
Experience building data structures and dashboards from the ground up where no data foundation previously existed.
Comfort working with ambiguity and shifting priorities alongside initiatives that are still being defined.
Nice to have
Python for analysis and automation, plus experience with dbt, Airflow, or equivalent transformation tools.
Ability to perform analysis and interpretation beyond infrastructure development.
Experience supporting strategy or business teams directly.
Experience with financial products or marketplace business models.
Culture & Benefits
Hybrid work model with remote flexibility and in-person collaboration days.
Health, dental, and life insurance, Wellhub, and psychological, legal, social, and financial support.
Meal and food vouchers, birthday day off, and family-related allowances.
Extended parental leave and childcare support.
Home office allowance, Work From Anywhere program, and education partnerships.
Salary, annual performance bonus, and variable compensation may apply according to role eligibility.
Hiring process
People interview, hiring manager interview, case, and stakeholder interview.
Successful candidates receive an offer and onboarding information.
Applications are reviewed individually and feedback is provided to every candidate.
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