Senior Data Analyst | Lead Data Analyst

Description

Job Summary: We are seeking a Senior Data Analyst who transforms data into insights, supports strategic decisions, and contributes to performance in sports betting and online gaming. Key Highlights: 1. Work that goes beyond reporting, ensuring data quality and supporting decision-making 2. Development of models and dashboards in Power BI with a focus on iGaming 3. Business partnership: translating questions into hypotheses and data roadmaps **ABOUT US** With over 10 years of experience, we are a 100% Brazilian company that combines the innovation of a young, dynamic team with the traditions that define us. Our focus is delivering exceptional experiences in the sports betting and online gaming industry, upholding ethics and consistently committing to quality and transparency for our customers. We are looking for a **Senior Data Analyst**. If you are motivated by challenges, skilled at transforming data into insights, and aim to create value through precise and strategic analysis, this opportunity is for you to join our team at **Aposta Ganha**! **Employment Type:** CLT preferred, with possible negotiation for PJ. Here, data work goes far beyond generating reports—it means ensuring information quality, supporting strategic decisions, collaborating across multiple departments, and contributing to the performance of a brand operating at the fast pace of the digital world and sports betting. **Your Responsibilities:** * Promote a data-driven management culture (data management) across the company; * Design, build, and maintain data pipelines on GCP (BigQuery, Cloud Storage, Pub/Sub/Dataflow, or Cloud Composer/Airflow); * Model data for analytics, ensuring metric standardization; * Develop models and dashboards in Power BI (star schema modeling, advanced DAX, RLS, Incremental Refresh) with a business focus on iGaming; * Conduct exploratory analyses and experiments (A/B); define success metrics, measure impact, and recommend clear actions for stakeholders (CRM, Marketing, Product, etc.); * Implement best practices for data quality and cost efficiency: partitioning/clustering in BigQuery, data testing, version control (Git), SLA monitoring, and query optimization; * Ensure LGPD/privacy compliance and data governance (data catalog/dictionary); Act as a business partner, translating questions into hypotheses, analyses, and data roadmaps. Requirements: What We Expect From You: * Bachelor’s degree completed in Computer Engineering, Information Technology, Data Science, Statistics, Economics, or related fields; * Awareness of security best practices. * Advanced GCP/BigQuery expertise: SQL, partitioning/clustering, schema design; batch/stream ingestion via Dataflow or Composer/Airflow or dbt (solid proficiency in at least one, familiarity with others). * Advanced Power BI expertise: star schema modeling; DAX (CALCULATE, filter context, iterators, time-intelligence), RLS, Incremental Refresh, model/measure optimization. * Analytical capability: metric design, statistics, segmentation, and data storytelling. * **Python** for analysis (pandas) and **Git** for version control. You’ll Stand Out If You Have: * Postgraduate degree, MBA, or specialization in Data Science, Business Analytics, Statistics, Big Data, or similar. * Interest in the betting, sports, and iGaming markets; * Knowledge of dbt, BI Engine, Materialized Views, and semantic metrics (metric layer); * Exposure to marketing analytics and attribution; * Familiarity with applied machine learning (propensity, value, and risk); * Experience with orchestration tools (Composer/Airflow); * Hands-on experience in data quality.