Senior Analyst – Insights, Data, Growth Analytics

Role Overview

• Orchestrate the funnel metrics framework (acquisition → activation → conversion → retention → monetization), ensuring definitions, sources, cadence and reliability (Power BI/Tableau + Databricks) — to enable faster, more consistent decisions.
• Lead and/or technically execute deep-dive analyses (cohort analysis, segmentation, elasticity, LTV, campaign lift), translating findings into clear recommendations and estimated impacts — to prioritize growth levers.
• Build the data structure for new operations, from segmentation to tracking metrics.
• Collaborate with channel planning, providing relevant business analyses, designing metrics, and monitoring historical performance.
• Design and conduct A/B tests and controlled experiments (hypotheses, design, metrics, result interpretation, next steps) — to optimize the customer journey and increase conversion rates.
• Perform lightweight statistical modeling and propensity scorecards (simple regressions, basic classifiers, business rules) focused on prioritizing leads/offers — to improve commercial efficiency and LTV.
• Data quality and governance: define checks, validations and documentation of rules; work with engineering/BI to ensure integrity of sources and catalogs in Databricks — to reduce rework and analytical noise.
• Executive storytelling: prepare dashboards/reads and present conclusions to management (coordination/management), connecting metrics to decisions (investment, product, channel) — to accelerate alignment and execution.
• Interface with partners/vendors when required (no formal people management) — to raise the team's analytical capability.
• Manage vendors and partners to improve implementation of tools and automations to streamline day-to-day operations with IT.

Requirements

• Bachelor’s degree in Engineering, Statistics, Mathematics, IT, Business Administration or related fields.
• Advanced SQL (CTEs, window functions, basic tuning) in Databricks.
• Strong data wrangling skills.
• BI/Data Visualization: Power BI / Tableau (data modeling, basic DAX/LOD, visualization best practices).
• Applied statistics (inference, A/B testing, linear/logistic regression, sampling, p-values/confidence intervals).
• Experience with Python and knowledge of report automation.
• Propensity modeling/scorecards (lightweight) and segmentation (basic clustering).
• Python (Pandas/NumPy) for analyses and non-critical automations; version control (Git).
• Use of AI to optimize analyses and processes.
• Experience with data platforms (Databricks/BigQuery/Azure/GCP), orchestration of metrics and A/B testing.
• Business acumen in Growth (funnel, LTV, CAC, retention/monetization).
• Data best practices: documentation, cataloging, governance and quality.

Tech Stack

• Azure
• BigQuery
• Google Cloud Platform
• Numpy
• Pandas
• Python
• SQL
• Tableau

Benefits

• Commuter allowance (transit benefit) or office parking.
• Meal allowance or food voucher — choose one of the two options.
• Health insurance.
• Dental insurance.
• Telemedicine — available 24/7.
• Wellhub (formerly Gympass).
• Home office allowance.
• Profit-sharing (PLR) according to current policy.
• Birthday day off — time off on your birthday and on the company’s anniversary.
• "Sem Parar" toll tag — provided at no cost.
• Life insurance.
• Parental leave — paid time off for mothers, fathers or guardians to welcome a child by birth or adoption.
• Education benefit — up to 25% discount on postgraduate programs or MBA.