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Helppi
Helppi
11 – 50 Employees
B2BHR TechMarketplace
Helppi is a Brazilian HR technology marketplace that helps businesses source qualified on-demand workers, known as Helppers, for retail and logistics operations. Its B2B platform supports practical, time-sensitive tasks such as shelf replenishment, inventory stocking, store organization, order picking, material handling, packing, and promotional shopper activities. By connecting companies with flexible labor for these operational needs, Helppi gives businesses an adaptable staffing option while enabling workers to find assignments that can provide additional income. The platform reports activity across more than 2,000 establishments, 150 municipalities, and 17 Brazilian states, with hundreds of thousands of attendances and millions of hours completed.
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BI and Analytics Engineering Specialist

Helppi is seeking a BI and Analytics Engineering Specialist to build structured data models, define governed metrics, and improve self-service analytics. The role is remote in Brazil and focuses on SQL, data modeling, and BI architecture.

BRBrazilRemoteContractMiddleSeniorPortuguese RequiredAnalytics Engineer
PythonSQL

Description

  • Make BI models and data layers more structured, reusable, and consistent.
  • Turn business concepts and metrics into reliable, documented, governed definitions.
  • Help advance the BI architecture and technology stack.
  • Develop and improve the Business Layer, Semantic Layer, and metric models.
  • Make data easier for teams to access, explore, and use independently.
  • Work with technology and business teams to turn needs into scalable data solutions.
  • Help define and improve BI processes, standards, and practices.
  • Use SQL, data modeling, and analytics in hands-on work.
  • Explore AI, agents, and emerging technologies for interacting with analytics data.
  • Replace one-off solutions with information that is reusable, governed, and reliable.
  • Assess current data, BI, metrics, and business-team challenges.
  • Identify duplicated logic, inconsistent metrics, and overdependence on queries.
  • Set standards for data models, metrics, and governance.
  • Help evolve the BI architecture and stack.
  • Find opportunities to simplify solutions and reuse existing work.
  • Increase business teams’ independence in using data over time.
  • Serve as an internal technical resource for BI and Analytics.

Requirements

  • Substantial experience in Business Intelligence, Analytics, or Analytics Engineering.
  • Advanced SQL proficiency.
  • Strong knowledge of data modeling.
  • Experience creating or working with analytical layers, data marts, or comparable structures.
  • Ability to turn business rules into reusable data models.
  • Familiarity with Git and code-based development.
  • Strong analytical ability and systems thinking.
  • Comfort working across technical discussions and business problems.
  • Ability to work independently, frame problems, and implement solutions.
  • Curiosity and openness to learning new architectures, tools, and technologies.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, Business Administration, Data Science, or a related discipline.
  • Preferred: Analytics Engineering experience; dbt or similar approaches; Semantic or Metrics Layers; Looker, Metabase, Cube, or comparable tools; Python for data and analytics; self-service analytics; metric governance or KPI design; experience building or advancing a BI or Analytics function; APIs and data integrations; AI for data, LLMs, agents, or MCP; or experience at startups or high-growth companies.
  • A graduate degree or specialization in Data, Analytics, BI, Data Engineering, or a related area is an advantage.

Benefits

  • Starbem healthcare benefit with telemedicine.
  • iFood Benefícios card, including a home-office allowance.
  • Wellhub membership, with up to three dependents included.
  • Birthday leave and a birthday bonus paid via PIX.
  • 30 days of paid time off.
  • Life insurance.
  • Welcome kit and workplace setup.
  • Fully remote work.
  • Helppi-funded transport and meals for in-person gatherings in São Paulo.

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