Analytics Engineer - Fluent English

Reposted An Hour Ago
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São Paulo, BRA
In-Office
Entry level
Artificial Intelligence • Consulting
The Role
Join Artefact's Data & Consulting team to innovate and enhance data strategies through advanced analytics, collaborating with diverse teams to deliver solutions.
Summary Generated by Built In

Who we are


At Artefact Brazil, we believe in and actively cultivate a culture rooted in empathy!

A healthy work environment is one where all voices are heard, respected, and valued.

We are committed to building a more diverse and inclusive workplace because empathy is for everyone—regardless of ethnicity, race, gender, sexual orientation, gender identity, disability, or religious beliefs.

We’re looking for incredible minds and hearts to join us. Come be Artefact!

What you will be doing:

You will join our Analytics Engineering team, working at the intersection of data, technology, and business strategy. Our Analytics Engineers are not only dashboard developers — they are end-to-end analytical product owners who shape how data becomes decisions for our clients.

  • Innovate - You will work with your team, made up of Data Consultants, Data Scientists, and Data Engineers — to identify client needs and define innovative solutions.
  • Learn and Share - You will be part of a collaborative team that encourages knowledge sharing. You’ll learn from others, share your own expertise, and stay up to date with industry trends and developments
  • Actively contribute to the overall knowledge and capabilities of whole Artefact
  • Lead analyses, interpret requirements, and translate the needs of different business areas into data-driven solution
  • Data Product Delivery: Design, build, and manage analytical products from discovery to delivery: map KPIs, create wireframes and mockups, implement dashboards in Power BI, Tableau, or Looker, and build semantic models that serve as a reliable source of truth for the business.
  • Data Pipelines & Engineering: Design and implement data transformation layers (Bronze/Silver/Gold / medallion architecture) using SQL, Python, dbt, or similar tools, depending on the client Data Stack. Implement data quality checks, automated tests, and metadata management practices.
  • UI/UX & Data Storytelling: Translate analytical outputs into clear, compelling narratives for executive and/or operational audiences. Create wireframes and prototypes that guide dashboard design and ensure that data products are intuitive and decision-ready.
  • Tech-to-Business Translation: Work with clients and internal stakeholders from the earliest stages of a project: lead discovery sessions, map business questions into KPI logic, evaluate data availability, and define the right analytical architecture before a single line of code is written.
  • Innovation with AI: Leverage AI-assisted tools (e.g., Coding Agents, MCP-integrated assistants) to improve your productivity in SQL writing, documentation, and exploratory analysis. Contribute to internal initiatives that push the boundaries of what Analytics Engineering can deliver.

What we’re looking for:

  • A degree in Engineering, Business Administration, or related fields.
  • Curiosity: You’re always looking for innovative solutions for your clients. You’re involved in the entire value chain.
  • Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
  • Entrepreneurship: You bring solutions, new ideas, and innovations to the table.
  • Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

What We Offer:

  • Meal/Transportation Allowance (VR/VT)
  • Free Office (work from home or anywhere you want!)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
  • Woba (you can book coworking spaces anywhere you want!)
  • Semi-annual evaluations (with opportunities for promotion)


Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Skills Required

  • Degree in Engineering, Business Administration, or related fields
  • Fluent in English

Artefact (artefact.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Artefact (artefact.com) and has not been reviewed or approved by Artefact (artefact.com).

  • Leave & Time Off Breadth Time‑off structures such as RTT days in France and extra holidays in Germany are highlighted, indicating generous leave in several European offices.
  • Healthcare Strength France’s supplemental health insurance (mutuelle) is described as solid, while Germany references mental‑health initiatives and company pension options that strengthen core coverage.
  • Wellbeing & Lifestyle Benefits Meal vouchers, transport reimbursement, CSE discounts, fitness perks such as ClassPass‑style programs, and a Paris gym are cited alongside flexible or hybrid work in some regions.

Artefact (artefact.com) Insights

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The Company
New York, New York
1,637 Employees
Year Founded: 2014

What We Do

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain. Our 1500 employees operate in 23 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi. We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support

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