Data Analyst

🔥 18 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 25%

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

• Analyze large and complex datasets to identify trends, patterns, business opportunities, and areas for improvement • Design, develop, and maintain interactive Power BI dashboards, reports, and visualizations • Work with Google Cloud Platform services to support data analytics and reporting requirements • Develop optimized SQL queries in Google BigQuery for data extraction, transformation, validation, and analysis • Collaborate with data engineers and business stakeholders to understand data requirements and translate them into scalable analytical solutions • Perform data profiling, cleansing, validation, and reconciliation to ensure accuracy and consistency • Develop data models and analytical datasets supporting reporting, visualization, and business intelligence use cases • Optimize queries, dashboards, and data pipelines to improve performance and efficiency • Identify data quality issues and work with relevant teams to investigate and resolve them • Translate business requirements into KPIs, metrics, dashboards, and analytical reports • Present analytical findings and insights to stakeholders • Contribute to data analytics processes, standards, and best practices

🎯 Requirements

• 4–8 years of experience in data analytics, business intelligence, or a related field • Strong hands-on experience with Google Cloud Platform (GCP) and cloud-based analytics environments • Advanced knowledge of Google BigQuery, including SQL querying, optimization, data transformation, and large-scale data analysis • Strong experience with Power BI, including dashboard development, data visualization, reporting, and KPI creation • Excellent SQL skills and strong understanding of relational and analytical databases • Experience working with large datasets and translating business requirements into analytical solutions • Strong understanding of data quality, data validation, and analytical reporting • Strong knowledge of data analysis and data modelling concepts • Experience with Dataplex for data management, governance, discovery, and organization within GCP • Experience with Dataform for developing, managing, and transforming analytical datasets in BigQuery • Understanding of modern data warehouse and data lake architectures • Familiarity with data governance, metadata management, and data lineage • Exposure to Python or other programming languages used for data analysis is an advantage • Strong analytical and problem-solving abilities, attention to detail, and ability to work effectively with technical and non-technical stakeholders • Ability to work independently, manage multiple analytical requirements, and communicate complex data insights in a simple and business-friendly manner