Analytics Engineer Sênior - Remoto|Senior Analytics Engineer - Remote

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 deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.

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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.

Preferred Qualifications & Experience

• 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 haves

• 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.

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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

Selection Process Stages

1. Interview with Talent Acquisition

2. Technical Challenge

3. Interview with Technical Management

4. Evidence Storage

As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.

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Some of the benefits offered by Indicium:

Our Culture

• Modern, transparent, and inclusive management.

• Dynamic environment, open to innovation and creativity.

• Data-driven culture.

• Autonomy and engagement.

• Light and relaxed atmosphere with a focus on challenges.

• High-growth environment (Fast-paced scaling).

• Remote work and flexible hours.

For Your Professional Development

• Structured career path.

• Feedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).

• Mentorship Program for dedicated support during onboarding.

• Experienced and collaborative team.

• High-impact projects.

• Agile methodologies and cross-functional teams.

• Free weekly English conversation classes.

• Certification Program (full financial support and performance rewards).

• Tutoring opportunities at Indicium Academy.

• Internal initiatives such as "Tech Tracks" and "Databloggers."

For Your Health and Wellbeing

• Global offices in Florianópolis, São Paulo, New York, Lisbon, and London.

• In-office snacks and beverages.

• Points and rewards program.

• Psychological support via "Programa Oxigênio" and Zenklub.

• Birthday day off.

• Weekly happy hours and game nights (both remote and in-person).

• Wellhub (formerly Gympass).

• Bradesco Health Insurance.

• Flash Card (flexible benefits - total R$ 1,350.00).

• Annual bonus (performance-based).

• Referral Program (R$ 250 per successful hire).

• Extended maternity leave (6 months).