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Overview
Mid-Level

BI Analytics Specialist

Confirmed live in the last 24 hours

Gympass

Gympass

Brazil (São Paulo - Hybrid)
Hybrid
Posted March 17, 2026

Job Description

 

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

 

THE OPPORTUNITY

We are hiring a BI Analytics Specialist to our Channel Partners team in São Paulo

This role is designed for a highly analytical, data-driven professional, with a strong performance mindset and a clear focus on scalability and efficiency. You will act as the technical architect and visual storyteller of our partner ecosystem, owning the full insight lifecycle, from modeling complex data using SQL and Python to delivering executive, ready insights through Looker, Metabase, Google Analytics, and Google Workspace, while actively leveraging AI-powered tools to scale data management and insight delivery for Channel Partners. Your mission is to turn data into measurable performance gains, accelerating decision-making through automation, intelligence, and clarity.

 

YOUR IMPACT

  • Act as a strategic analytics partner for Channel Ops and Strategy, translating performance questions into scalable technical and AI-enabled solutions.
  • Enable teams through data literacy, tooling, and AI usage coaching, reinforcing a strong data-driven and performance-oriented culture.
  • Identify inefficiencies across the partner lifecycle and propose data- and AI-backed improvements to increase speed, and operational flow.
  • Translate complex partner and channel data into clear performance narratives, enabling faster and more accurate leadership decisions.
  • Deliver high-impact visual insights and infographics, combining analytical rigor with executive-level storytelling.
  • Apply AI-assisted analysis and summarization to accelerate insight generation and improve data consumption across stakeholders.
  • Build and maintain robust analytical models in SQL and Python, supporting pipeline analysis, partner contribution, conversion rates, and sales strategies.
  • Leverage Metabase for SQL-based analysis, deep dives, validation, and operational analytics.
  • Use Google Workspace (especially Google Sheets) as a core analytical and operational layer for data management, reconciliation, and performance modeling.
  • Develop analytical frameworks for partner incentives, variable compensation, performance tiers, and revenue optimization.
  • Design and implement automated data flows and reporting pipelines, reducing manual effort and increasing analytical velocity.
  • Automate data interpretation, documentation, and insight summarization, support scalable knowledge management across partner analytics and enhance consistency and speed in executive reporting and Channel Partners performance reviews.
  • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

  • Strong analytical and performance-driven mindset, with experience in Business Intelligence, analytics, data strategy, and/or channel operations within commercial ecosystems.
  • Advanced technical expertise in SQL and Python, with hands-on experience building scalable data models, automated workflows, and performance frameworks that drive measurable outcomes.
  • Advanced knowledge of Google Workspace (especially Google Sheets), comfortable managing complex datasets,
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