Senior Data Analyst, BigQuery – Health & Wellness

Posted Sep 17

This is a fully remote position, open to applicants in Brazil.

πŸ“‹ Description

β€’ Collaborate with cross-functional teams and senior stakeholders to gain insights into business inquiries.

β€’ Provide timely analyses and highlight opportunities for data-driven enhancements.

β€’ Create and manage both ad-hoc and recurring reports using Looker.

β€’ Establish and track essential business metrics.

β€’ Detect trends and identify performance discrepancies.

β€’ Construct, enhance, and document scalable LookML data models.

β€’ Review dashboards and data sources for potential consolidation.

β€’ Identify and rectify data inconsistencies.

β€’ Collaborate with Data Engineering to enhance data pipelines and ensure reporting accuracy.

β€’ Create and maintain predictive models to forecast business outcomes, customer behaviors, and key metrics.

β€’ Gain in-depth knowledge of the client's entire data ecosystem.

β€’ Contribute to the ongoing evolution of the business's performance measurement strategies.


⛳️ Requirements

β€’ Over 4 years of experience in data analytics, business intelligence, or data engineering.

β€’ Proficiency in advanced SQL.

β€’ Practical experience with Google BigQuery, including query optimization, schema design, and GCP.

β€’ Strong background with Looker and LookML for data modeling, dashboard creation, and report automation.

β€’ Experience in predictive modeling, including regression and forecasting techniques.

β€’ Expertise in metrics design.

β€’ Effective communication with cross-functional stakeholders.

β€’ Preferred: Knowledge of Python, pandas, matplotlib, Tableau, Jupyter Notebooks, and AWS.

β€’ Nice to have: Experience in consumer technology, fitness, subscription-based companies, or the retail/hospitality sector.

β€’ Nice to have: Familiarity with AI-driven analytics processes.

β€’ Candidates should currently reside in Latin America.


🏝️ Benefits

β€’ 100% Remote Work.

β€’ Highly Competitive USD Compensation.

β€’ Paid Time Off.

β€’ Work with Independence.

β€’ Collaborate with Leading American Companies.

β€’ Engagement Activities.

β€’ Support for Work-Life Balance.

β€’ Work alongside a diverse, global network.

β€’ Collaborate with experienced, senior professionals.

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