Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹100k - ₹350k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🚫👨‍🎓 No degree required

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Collect, clean, transform, and analyze structured and unstructured datasets to identify meaningful trends and business insights • Apply statistical and Machine Learning techniques for forecasting, classification, segmentation, and other analytical use cases • Assist in developing, testing, and improving machine learning models based on business requirements • Identify opportunities where Artificial Intelligence for Business can improve processes, decision-making, customer experience, or operational efficiency • Support development and integration of data-driven applications using .NET technologies • Collaborate with .NET developers, data scientists, business teams, and other stakeholders • Perform exploratory data analysis and create reports, dashboards, and visualizations • Validate data quality, identify inconsistencies, and ensure analytical outputs are accurate and reliable • Assist in deploying, monitoring, and maintaining analytical and AI solutions • Document data processes, analytical methodologies, models, and business requirements • Stay updated with developments in Machine Learning, Artificial Intelligence, data analytics, and business technology

🎯 Requirements

• 0–2 years of experience • Strong foundation in Data Analysis and Machine Learning concepts • Understanding of Artificial Intelligence for Business and practical AI use cases • Knowledge of .NET development, including familiarity with C# and the .NET framework/ecosystem • Ability to work with datasets and perform data cleaning, transformation, and exploratory analysis • Basic understanding of statistics, predictive modeling, and machine learning algorithms • Strong analytical and problem-solving abilities • Ability to understand business requirements and translate them into technical or analytical solutions • Good communication and collaboration skills • JavaScript, Python, R, SQL, databases, APIs, data visualization tools, or cloud-based analytics platforms are good-to-have • Academic projects, internships, certifications, or personal projects involving AI, Machine Learning, Data Analytics, or .NET development are good-to-have • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related discipline is preferred