Data Analyst / Data Scientist

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🕒 Agosto 8, 2025

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Weekday (YC W21)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

💼 Consultoria

👥 RH Tech

☁️ SaaS

Consulting • HR Tech • SaaS

A Weekday é uma plataforma moderna de recrutamento que combina tecnologias de IA com um vasto banco de dados de potenciais candidatos, com o objetivo de agilizar e simplificar o processo de contratação para empresas na Índia. A empresa oferece diversos serviços, incluindo uma abordagem proativa de outreach que ajuda empregadores a se conectarem com talentos de ponta, além de ferramentas para que candidatos se candidatem facilmente a vagas. O foco da Weekday em engajamento de candidatos por múltiplos canais — incluindo e-mail, WhatsApp e ligações telefônicas — a diferencia no competitivo mercado de agências de recrutamento.

Descrição

• This role is for one of the Weekday's clients • Salary range: Rs 300000 - Rs 1200000 (ie INR 3-12 LPA) • Min Experience: 1 years • Location: Remote (India) • JobType: full-time • We’re looking for a passionate and detail-oriented Data Analyst / Data Scientist to join our growing analytics team. • This role is perfect for someone who thrives on solving complex problems using data, loves diving deep into datasets, and has a strong command of analytical tools and programming languages. • As a Data Analyst / Data Scientist, you will play a crucial role in helping teams make data-driven decisions by uncovering actionable insights from structured and unstructured data. • You’ll work closely with stakeholders across departments—such as product, marketing, and operations—to understand their challenges and deliver meaningful analysis and visualizations that guide strategy and execution.

🎯 Requisitos

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. • 1–5 years of experience in a data analyst or data scientist role, preferably in a fast-paced or startup environment. • Strong proficiency in SQL and Python for data manipulation and analysis. • Experience building dashboards and visualizations using Tableau (or similar tools such as Power BI or Looker). • Solid understanding of statistical methods and ability to apply them to real-world business problems. • Strong analytical and problem-solving skills with attention to detail and accuracy. • Excellent communication and collaboration skills, with the ability to present findings in a clear and concise manner. • Nice to Have: • Exposure to machine learning techniques and libraries (e.g., scikit-learn, XGBoost, etc.). • Experience working with cloud-based data platforms (AWS, GCP, or Azure). • Familiarity with version control tools like Git and workflow automation tools like Airflow.