About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.
Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.
About the Opportunity
The Analytics Engineer is responsible for designing and leading analytics projects end-to-end, serving as a technical reference for projects of any level of complexity.
Key Responsibilities
- Lead complex projects from conception to implementation and results monitoring;
- Design, build, and structure scalable data models using Modern Data Stack (MDS) tools;
- Design the architecture of Data Warehouse (DW), data pipeline, and Business Intelligence (BI) projects;
- Define, implement, and oversee processes, standards, and best practices related to the MDS;
- Coordinate with business areas on the creation, documentation, and usage of data pipelines;
- Collaborate with both technical and non-technical teams, bridging the gap between business problems and technical solutions;
- Develop training and implement data processes within business areas;
- Work on complex projects by formulating and answering business questions using data visualization and advanced statistics;
- Ensure the application of quality controls and support knowledge sharing within the team;
- Propose new data product solutions alongside the data team and business stakeholders;
- Coordinate the implementation of data-related metrics and processes within business areas;
- Plan and execute migration, architecture, platform, and data product projects.
Requirements:
- Proven experience in defining Data Warehouse architectures, optimizing production models, and implementing development, maintenance, and usage processes for data products;
- Experience defining and implementing data platform projects of varying scales and complexity;
- Advanced knowledge in cost and performance optimization for large-scale data models;
- Strong experience optimizing processes across data platforms (DataOps, SecOps, DevOps);
- Proven ability to solve business problems through a multidisciplinary perspective combining data and business;
- Experience managing data teams and delivering value efficiently through data platforms;
- Experience defining structure and modeling standards in dbt projects;
- Experience leading end-to-end analytics projects;
- Advanced SQL skills (window functions, macros, indexes, etc.);
- Advanced knowledge across all areas of the Modern Data Stack (Databases, Data Warehouses, dbt, Cloud, BI);
- Experience integrating projects across multiple data sources and business areas;
- Advanced experience with analytical tools (Excel, BI tools, etc.);
- Strong analytical, communication, and project management skills;
- Experience creating, documenting, and implementing business metrics;
- Experience presenting metrics to senior leadership;
- Strong interest in solving problems through data visualization;
- Advanced knowledge of information design;
- Advanced proficiency in R/Python or equivalent, focused on data manipulation and visualization;
- Advanced knowledge of Git;
- Familiarity with Figma or similar prototyping tools;
- Results-driven, with strong communication, writing, and organizational skills;
- Solid understanding of AI and its applications;
- Advanced or fluent English.
Nice to Have:
- Certified Data Management Professional (CDMP);
- Postgraduate degree in a data-related field;
- dbt certification;
- Certification in a BI tool (e.g., Power BI Data Analyst Associate, Tableau Certified Data Analyst);
- Advanced knowledge in one or more business domains (e.g., People Analytics);
- Professional/Specialty-level certification in a public cloud platform (AWS, Azure, GCP) or equivalent;
- Professional-level certifications such as Databricks or Snowflake;
- Knowledge of advanced statistics and machine learning techniques.
Why Indicium AI
- Work on AI projects that actually transform the world's largest enterprises
- Use cutting-edge AI tools and technologies every single day
- Collaborate with global teams on high-impact, real-world solutions
- Be backed by a supportive team that's genuinely in your corner
- Benefit from serious investment in your learning and career growth
- Earn competitive compensation and benefits
- Enjoy company events and gatherings that bring the global team together
- Join a fast-growing company where ambitious careers thrive.
All our positions are affirmative and open to diverse talent.
- Modern, transparent, and inclusive management.
- Dynamic environment that encourages innovation and creativity.
- Data-driven culture.
- High autonomy and engagement.
- Collaborative and relaxed environment driven by challenges.
- Fast-growing company.
- Remote-first work and flexible schedules.
- Structured career path.
- Strong feedback and development culture.
- 45/90-day onboarding reviews, quarterly and semiannual performance cycles.
- Buddy Program to support new hires during onboarding.
- Experienced and collaborative team.
- High-impact projects.
- Agile methodologies and cross-functional collaboration.
- Free weekly English conversation classes.
- Certification Program with full sponsorship and rewards.
- Opportunity to become an instructor or mentor at Indicium Academy with additional compensation.
- Tech Tracks initiative program.
- Databloggers Program to encourage content creation.
- Leadership Development Program.
- Structured onboarding process.
- Educational incentives.
- Team budgets for training and integration activities.
- Offices in Florianópolis, São Paulo, New York, Lisbon, and London.
- Snacks and beverages at the office.
- Rewards and recognition program.
- Birthday day off.
- In-person, hybrid, and remote engagement initiatives.
- Weekly Friday happy hour.
- Monthly game nights (remote and in-person).
- Partnerships with companies offering exclusive discounts.
- Wellhub (corporate wellness and fitness platform).
- Bradesco Health Insurance.
- Flexible meal allowance via Flash card.
- Zenklub psychotherapy services.
- Onhappy travel discount platform.
- Annual bonus of one salary or more.
- Employee Referral Program (R$250 bonus after the referred employee's third month).
- Extended maternity leave of 6 months through Brazil’s Empresa Cidadã program.
We are a global company with opportunities across Europe and the Americas and are always excited to connect with professionals interested in growing internationally with our team.
Please indicate in your application whether you are available for international assignments and whether you hold a European passport.
