




Job Summary: An Analytics Engineer is the essential bridge between data engineering and business, designing and optimizing the data layer for rapid and reliable insights while ensuring consistent, high-quality data. Key Highlights: 1. Bridge between data engineering and business 2. Development of a robust data platform 3. Scalable data modeling and data transformation The Analytics Engineer serves as the essential bridge between data engineering and the business area. This role is responsible for designing, building, testing, and optimizing the data layer that enables analysts, data scientists, and business teams to extract insights quickly and reliably. This professional ensures data is consistent, high-quality, and efficiently modeled in the Data Warehouse. Thus, the Analytics Engineer is responsible for solving business problems by developing a robust data platform, applying appropriate data transformation practices to create data pipelines and data products that generate business value. Key Responsibilities include: * Building and structuring scalable data models using Modern Data Stack tools; * Transforming data and building metrics that deliver business value; * Implementing data tests and creating documentation for pipelines and the DW; * Performing ad\-hoc queries on databases and data warehouses using SQL; * Applying statistical techniques and EDA to map and derive insights from datasets; * Conducting and evaluating A/B test results in collaboration with business teams; * Proposing, developing, and refining analytical reports and BI dashboards; * Designing, implementing, documenting, and monitoring new business metrics; * Tracking goals and reporting progress to the business area; * Answering business questions using data visualization and basic statistics; * Maintaining production environments and models stable, functional, and up\-to\-date; * Supporting training and implementation of data processes across business areas; * Collaborating with both technical and non\-technical teams to reduce the gap between business problems and technical solutions; * Working on data platform migration, implementation, and data product creation projects. Basic Requirements: * Experience manipulating data using SQL; * Basic experience with analytical tools and BI tools (Excel, Power BI, Tableau, etc.); * Intermediate knowledge of presentation and documentation tools (PowerPoint/Google Slides, Word/Google Docs); * Basic knowledge of R/Python or equivalent; * Basic knowledge of SQL and databases; * Introductory knowledge of dbt (e.g., configuring and running a dbt project, plus applying general best practices for organization and development); * Introductory knowledge of dimensional modeling (Kimball, Inmon, and OBT); * Introductory knowledge of DataOps best practices (CI/CD, version control, Git); * Introductory knowledge of data platforms (Data Lake, Data Warehouse, Data Lakehouse) and a general overview of cloud concepts and their main tools; * Technical education or professional experience with a quantitative/analytical focus; * Strong interest in problem solving through statistics and data visualization; * Analytical ability, communication skills, and project management capability; * Knowledge of business metrics and how they are developed; * Strong writing, communication, and organizational skills; * Analytical and critical thinking; * Intermediate English proficiency. Preferred Qualifications: * dbt Certified Developer certification; * Databricks certification or equivalent; * Public cloud platform certification (AWS, Azure, GCP) at Foundational level or equivalent; * Experience in business data analysis; * Experience in consulting projects; * Advanced English proficiency; * Basic knowledge of Figma or similar prototyping tools. All our positions are inclusive and open to diverse profiles. **Learn about some benefits offered by Indicium AI:** Our Culture * Modern, transparent, and inclusive leadership * Dynamic environment open to innovation and creativity * Data\-driven culture * Autonomous and engaged work * Light, relaxed environment with a team motivated by challenges * Rapid company growth * Remote work and flexible hours For Your Professional Development * Structured career path * Feedback\-oriented and developmental culture * Probation period evaluation and one\-on\-one feedback at 45/90 days, plus quarterly and semi\-annual performance reviews * Mentorship Program \- assigned mentor from the team to support you during your probation period * Experienced, collaborative team committed to growth * High\-impact, meaningful projects * Agile methodologies and participation in cross\-functional teams * Free weekly English conversation classes * Certification Program \- full subsidy with spot bonuses * Opportunity to become a tutor or instructor for Indicium Academy with hourly compensation * “Tech Tracks” initiative program * Databloggers Program \- encouraging Indicium AI professionals to write content * Leadership Development Program * Structured onboarding * Education incentives * Departmental budget for integration and training For Your Health and Well\-being * Offices in Florianópolis, São Paulo, New York, Lisbon, and London. * Snacks and beverages at offices * Rewards points program * Oxigênio Program \- psychological support * Birthday day\-off * In\-person, hybrid, and remote endomarketing initiatives * Happy hour every Friday * Remote gaming night on the first Thursday of each month and in\-person gaming night on the last Thursday of each month * Partnerships with companies offering special discounts * Wellhub (Corporate physical activity platform focused on quality of life, health, and well\-being) * Bradesco Health Insurance * Meal and Flexible Benefits via Flash card * Zenklub \- Psychotherapy service for employees * Onhappy \- Travel discount platform Additional Benefits * Annual bonus equivalent to one or more monthly salaries * Referral Program \- R$ 250.00 gratification paid in the third month after the referred person joins the company * Extended maternity leave of six months \- we are a citizen company


