Analytics Engineer, Mid-Level

🕒 September 16

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

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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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Build and optimize analytical and dimensional data models using dbt/SQL, following development best practices and governance standards • Ensure data governance, quality, documentation, automated testing, scalability, and business impact • Participate in discussions with business teams to understand requirements and business rules • Work closely with software engineers to understand the structure, refresh frequency, limitations, business context, and technical characteristics of data sources • Implement data quality tests and monitor pipelines to ensure data availability, performance, and integrity across the domain • Actively participate in code reviews and help promote engineering best practices across the data team • Support the data team in understanding the data platform and applying best practices • Contribute to the development of Asaas's data platform

🎯 Requirements

• Advanced SQL skills focused on data transformation and modeling • Professional experience with dbt or similar transformation tools, with a focus on modularity, automated testing, and documentation • Experience with analytical and dimensional data modeling, including star schemas, fact tables, dimensions, and OBTs • Experience developing and maintaining ETL/ELT processes and analytical pipelines • Experience with code version control using Git/GitHub • Experience with data transformation, standardization, and documentation projects • Ability to solve technical and business problems from a systemic perspective, translating business rules into reliable data models • Familiarity with agile methodologies • Basic knowledge of Python • Completed or ongoing degree in Data Analytics/Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or a related field • Preferred: Experience with Generative AI tools • Preferred: Experience with the modern Analytics ecosystem, Databricks, or cloud data platforms, as well as familiarity with Airflow • Preferred: Experience in financial institutions, ERP systems, or SaaS • Preferred: Experience modeling financial metrics or digital product journeys

🏖️ Benefits

• Medical and dental insurance with no co-payment • Life insurance • Prescription medication allowance • Fitness allowance • Four free therapy or nutritionist sessions per month • Quick massage at headquarters • Flexible meal and food allowance on a Visa card • Complimentary food at headquarters • Childcare allowance • Parental support program • Extended maternity and paternity leave • In-house training platform • Education allowance covering 70% of undergraduate and language course tuition • Allowance for purchasing courses and books • Home office allowance • Work equipment • Home office furniture allowance • Partnership with WOBA for coworking access throughout Brazil • Birthday month day off • Happy hour allowance • Referral bonus for new hires • Annual performance-based bonus • Stock options plan • No dress code