Mid-Level Analytics Engineer

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 serves as the essential bridge between Data Engineering and the business. 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 that data is consistent, high-quality, and efficiently modeled within the Data Warehouse.

As such, the Analytics Engineer is responsible for solving business problems by developing a robust data platform, applying best practices in data transformation to create pipelines and data products that generate business value.

Key Responsibilities

• • Build and structure scalable data models using Modern Data Stack tools.
  • Design, develop, and implement end-to-end data pipelines, ensuring data quality, consistency, and performance.
  • Test and document data models and pipelines.
  • Build analytical tables within the Data Warehouse.
  • Answer business questions through data visualization and basic or advanced statistical analysis.
  • Perform ad hoc queries on databases and data warehouses using SQL.
  • Apply statistical techniques and Exploratory Data Analysis (EDA) to uncover insights from datasets.
  • Build and improve analytical reports and dashboards.
  • Design, implement, document, and monitor new business KPIs, coordinating their adoption with business teams.
  • Design and evaluate A/B tests in collaboration with business stakeholders.
  • Track business goals and report progress to stakeholders.
  • Propose new dashboards and analyses alongside the data team.
  • Coordinate the implementation of data-driven metrics and processes across business areas.
  • Maintain production environments and data models in a stable, functional, and up-to-date state.
  • Support the training and implementation of data processes within business teams.
  • Collaborate with technical and non-technical stakeholders, bridging the gap between business challenges and technical solutions.
  • Work on data migration projects, data platform implementations, and data product development.
  • Collaborate with other data professionals to ensure successful project execution and value generation.
  • Propose improvements to processes and architecture.

Preferred Qualifications & Experience

• • Strong hands-on experience with dbt projects, including model optimization, repository organization, advanced features such as Jinja, macros, incremental models, and specialized packages.
  • Experience with DataOps and Git.
  • Strong SQL and database knowledge (window functions, macros, UDFs, indexing, etc.).
  • Solid understanding of dimensional modeling methodologies.
  • Advanced experience with BI and analytics tools (Excel, Power BI, Tableau, etc.).
  • Intermediate knowledge of R/Python or equivalent, focused on data manipulation and visualization.
  • Strong analytical, communication, and project management skills.
  • Experience developing and implementing KPIs alongside business teams.
  • Knowledge of orchestration tools and ELT pipeline development.
  • Basic knowledge of UX and information design.
  • Understanding of cloud concepts for data platform management and optimization.
  • Strong interest in solving business problems through data visualization.
  • Intermediate knowledge of at least one business domain (e.g., People Analytics).
  • Results-oriented mindset with strong communication, writing, and organizational skills.
  • Solid knowledge of AI and its practical applications.
  • Intermediate English proficiency.

Nice to haves

• • Experience with Databricks or equivalent platforms.
  • Advanced English proficiency.
  • Experience in consulting projects.
  • Experience designing and implementing performance metrics.
  • Postgraduate degree in Business Management, Big Data, Business Intelligence, or related fields.
  • BI certifications (e.g., Power BI Data Analyst Associate, Tableau Certified Data Analyst).
  • Public cloud certifications (AWS, Azure, or GCP Associate level or equivalent).
  • dbt Certification.
  • Basic knowledge of Figma or similar prototyping tools.

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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).