Data Analyst

Job not on LinkedIn

🕒 May 18

🇺🇸 United States – Remote

💵 $24k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

👻 Ghost score 28%

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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Vyusoft, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Vyusoft, Inc. is a technology services and consulting firm that builds custom software, AI, cloud, and cybersecurity solutions for enterprise clients across industries. The company offers end-to-end digital engineering services including web and mobile app development, DevOps, data analytics, cloud migration and management, AI/ML, IoT, blockchain, and security, as well as IT consulting, HR and payment integration support for startups and established organizations.

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL (Extract, Transform, Load) processes. • Collect, clean, and transform raw data from multiple sources into usable formats for analytics and reporting. • Create and manage data integration workflows using tools such as Apache Spark, Python, SQL, or similar technologies. • Develop and optimize data models and database structures to ensure efficient data storage and retrieval. • Implement data validation and quality assurance procedures to ensure data accuracy and consistency. • Monitor and improve data performance, scalability, and reliability within cloud environments such as AWS, Azure, or GCP.

🎯 Requirements

• Ability to work with stakeholders to assess potential risks. • Ability to analyze existing tools and databases and provide software solution recommendations. • Ability to translate business requirements into nontechnical, lay terms. • High-level experience in methodologies and processes for managing large-scale databases. • Demonstrated experience in handling large data sets and relational databases.