Analytics Engineer III – Finance

Job not on LinkedIn

🔥 2 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grupo Boticário

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

🏭 Manufacturing

🍽️ Food & Beverage

💄 Beauty

Manufacturing • Food & Beverage • Beauty

Grupo Boticário is a leading Brazilian beauty company founded in 1977 that emphasizes innovation in beauty solutions while promoting love and inclusivity. The company offers a diverse portfolio of beauty products, including skincare, makeup, and wellness items, while also championing entrepreneurship and social impact through its foundation and various initiatives. Grupo Boticário is recognized for its commitment to sustainability, accessibility, and high-quality products, making it one of the largest beauty platforms in Latin America.

📋 Description

• Work within the Finance Data ecosystem, serving as the focal point for GBBS and Treasury initiatives • Accelerate data-driven intelligence across operational and cash management routines, including accounts payable, accounts receivable, and tax receivables • Model and develop data pipelines and procedures directly in the BigQuery environment • Build end-to-end Business Intelligence solutions and data products to support financial decision-making • Work cross-functionally beyond traditional BI • Maintain strong relationships with GBBS and Treasury teams, facilitating data understanding • Critically evaluate the outputs of models and Artificial Intelligence solutions applied to products within the ecosystem • Orchestrate routines and direct queries to ensure BigQuery performance • Partner with Product Managers and Engineering to prioritize and organize the backlog • Map financial data sources to ensure data quality, consistency, and governance • Identify opportunities to optimize and automate financial processes

🎯 Requirements

• Strong command of SQL for advanced queries, stored procedures, and data modeling • Experience with BigQuery for managing and orchestrating analytical routines • Solid experience developing data visualizations and building end-to-end data products • Proven ability to work with a high degree of autonomy and resolve complex technical problems • Strong communication and interpersonal skills, with a consultative approach to cross-functional influence and effective technical education for stakeholders • High adaptability to changing environments, emerging technologies, and multidisciplinary demands • Practical knowledge or domain expertise in corporate finance (accounts payable/receivable, tax receivables, or Treasury) — a plus • Experience with Python applied to data science, machine learning, or AI agents — a plus • Critical perspective on the use and validation of Artificial Intelligence tools within the analytics engineering workflow — a plus

🏖️ Benefits

• Flexible medical and dental plans • Prescription drug assistance and healthcare allowance for family members • Free psychotherapy sessions and 24/7 telemedicine • Ongoing prevention, mental health, and vaccination programs • Meal voucher (or on-site restaurant) and food allowance (including an additional Christmas allowance) • Discounts of up to 40% on brands within our ecosystem • Gympass/TotalPass membership for gyms and sports studios • Home office allowance for hybrid and remote work arrangements • Birthday day off to celebrate your way • Pet health insurance, partner benefits, and travel/accommodation programs • Extended parental leave (180 days for mothers and 120 days for fathers) • Support for parents of children with special needs and nanny/childcare assistance • School supplies allowance and child nutrition credit • Dedicated legal, psychological, and social support • Private pension plan and life insurance • Bereavement support following the loss of parents and payroll-deducted loans • Transportation allowance and parking (depending on the work model)