Data Analyst

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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esyconnect career

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

👥 HR Tech

🎯 Recruiter

☁️ SaaS

HR Tech • Recruitment • SaaS

esyconnect career is an employer-focused Applicant Tracking System (ATS) and recruitment portal that lets companies create and publish job vacancies, manage applicants through configurable candidate stages, and automatically provision a public careers page. The platform provides a single employer workspace for drafting and publishing jobs, tracking application statuses (Received, Reviewing, Shortlisted, Interview, Rejected, Hired), and searchable job pages with JobPosting structured data for role, organization, location, and salary. It is positioned as a tool to help employers recruit smarter and hire with confidence via a web-based portal.

📋 Description

• Collect, process, and analyze large datasets from multiple sources • Develop and maintain dashboards and reports using data visualization tools • Conduct statistical analyses to identify trends and patterns in complex datasets • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions • Develop and implement data quality controls to ensure accuracy and reliability of analyses • Create and maintain documentation of data processes and methodologies • Assist in the development of predictive models and machine learning algorithms • Present findings and recommendations to both technical and non-technical audiences • Stay up-to-date with industry trends and emerging technologies in data analysis

🎯 Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field • 2-5 years of experience in data analysis or related field • Proficiency in SQL and either Python or R for data manipulation and analysis • Strong statistical analysis skills and experience with advanced Excel functions • Experience with data visualization tools such as Tableau or Power BI • Excellent problem-solving abilities and attention to detail • Proven track record of cleaning, preprocessing, and analyzing large datasets • Understanding of business intelligence and data warehousing concepts • Strong communication skills with the ability to present complex findings to diverse audiences • Experience with machine learning algorithms is preferred • Familiarity with industry-specific data trends and metrics is a plus • Data analysis certifications (e.g., Google Data Analytics, IBM Data Analyst) are desirable

🏖️ Benefits

• Employees can work remotely

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