Business Data Analyst

Job not on LinkedIn

🔥 19 minutes ago

🇺🇸 United States – Remote

💵 $70k - $85k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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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NeuroHire

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

☁️ SaaS

👥 HR Tech

🎯 Recruiter

SaaS • HR Tech • Recruitment

NeuroHire is an all-in-one SaaS "Career Operating System" that combines AI-driven automation with human career specialists to help IT professionals—especially international students and visa-dependent candidates—navigate the U. S. tech job market. The platform automates job discovery, resume and ATS optimization, large-scale application management, and company-specific interview preparation while human experts verify submissions, provide cultural and visa-aware guidance, and deliver coaching. NeuroHire positions itself as a human+AI symbiosis validated in a pilot program to deliver interview invites and job offers for IT candidates seeking U. S. roles.

📋 Description

• Collect, clean, organize, and analyze datasets to identify trends, patterns, and business opportunities. • Write SQL queries to extract, filter, join, and analyze data from databases. • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker. • Monitor business performance metrics and KPIs to identify opportunities for improvement. • Use Microsoft Excel or Google Sheets to manipulate data, perform calculations, and prepare reports. • Conduct exploratory data analysis to uncover insights and support business decisions. • Validate datasets, identify inconsistencies, and maintain data accuracy. • Collaborate with cross-functional teams to understand business requirements and analytical needs. • Present findings and recommendations clearly to technical and non-technical stakeholders. • Assist in automating recurring reports and improving data analysis workflows.

🎯 Requirements

• Master's degree in Business Analytics, Data Analytics, Data Science, Computer Science, Information Systems, Statistics, or a related field. • 0–1 year of experience in Data Analytics, Business Analytics, Business Intelligence, or a related analytical role. • Strong understanding of data analysis, statistical concepts, and data-driven decision-making. • Proficiency in SQL for querying, filtering, joining, and analyzing datasets. • Experience with Microsoft Excel or Google Sheets for data manipulation and reporting. • Familiarity with data visualization tools such as Power BI, Tableau, or Looker. • Basic knowledge of Python or R for data analysis and automation. • Understanding of business metrics, key performance indicators (KPIs), and performance reporting. • Familiarity with data cleaning, data validation, and database fundamentals. • Strong analytical thinking, attention to detail, and problem-solving abilities. • Ability to interpret data and communicate meaningful insights clearly. • Strong communication, collaboration, and organizational skills. • Eagerness to learn, adapt, and contribute to a data-driven team. • Academic projects, internships, or practical experience involving data analysis or business intelligence. • Familiarity with statistical analysis, trend analysis, and data visualization techniques. • Basic understanding of data modeling, data warehouses, and ETL processes. • Experience creating dashboards, reports, or analytical presentations.

🏖️ Benefits

• Opportunity to contribute to an innovative, AI-powered technology company. • Hands-on exposure to business analytics and data-driven decision-making. • Opportunities to strengthen technical, analytical, and problem-solving skills. • Collaborative work environment that encourages knowledge sharing and continuous learning. • Opportunities for professional development and career growth. • The opportunity to contribute to business improvements through meaningful data insights.

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