Gympass

Senior Business Data Analyst

Gympass

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • 🇧🇷 Brazil

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Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Develop recommendations and drive improvements to data standards, processes, definitions within your business area.
  • Partner with team leaders globally by providing analytical insights through accessible business-oriented data sets and visual data dashboards.
  • Automate recurring processes and workflows, improving efficiency and data reliability across this business unit's operations.
  • Monitor data quality and performance, proactively identifying and resolving issues.
  • Collaborate with central data teams to scale solutions and adopt best practices in analytics and automation.
  • 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 balance.

Requirements

  • If you reside in São Paulo, the work model will be hybrid, with no mandatory frequency. You will only need to go to the office when requested.
  • Academic background in Engineering, Computer Science, Statistics, Economics or related fields.
  • Previous experience in data analytics and synthesizing insights into actionable product and business recommendations.
  • Strong skills in SQL and BI tools (e.g., Tableau, Looker, Metabase).
  • Ability to communicate complex data and technical concepts clearly and concisely to a non-technical audience.
  • Excellent English written and verbal communication skills (you'll be tested).
  • Hands-on experience with automation tools or scripting (e.g., Python, n8n, Zapier, or similar) is a plus.
  • Knowledge of statistics and data science techniques (e.g., regression, segmentation, forecasting) is a plus.
Benefits
  • WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.
  • WELLNESS: Health, dental, and life insurance.
  • FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building.
  • FLEXIBLE SCHEDULE: Wellhubbers and their leaders can make the best decisions for their scope. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.
  • PAID TIME OFF: We know how important it is that our employees take time away from work to recharge. Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.
  • PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family. We offer 100% paid parental leave to all new parents and extended maternity leave.
  • CAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development.
  • CULTURE: An exciting and supportive atmosphere with ambitious people from around the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsSQLstatisticsdata science techniquesregressionsegmentationforecastingautomationscriptingbusiness recommendations
Soft skills
communicationcollaborationproblem-solvinganalytical thinkingsupportive environmentwellbeingwork-life balanceleadershipinterpersonal skillsclarity
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