Business Data Analyst

neurohire.ai; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

NeuroHire is looking for a motivated and detail-oriented Business Data Analyst to join our team. You will transform raw data into meaningful business insights that support strategic decision-making, improve operational efficiency, and identify opportunities for growth.

You will work with business data, analyze trends, monitor KPIs, and develop reports and dashboards to help teams make informed decisions. This is ideal for an early-career professional who enjoys solving problems with data and

Qualifications

• Master’s degree in a data-related field is required or strongly preferred.
• 0–1 year of experience in Data Analytics or a related role.
• Proficiency in SQL, Excel, and data visualization tools is expected.
• Ability to translate analytical findings into actionable recommendations.

Responsibilities

• Collect, clean, organize, and analyze datasets to identify trends and opportunities.
• Write SQL queries to extract and analyze data from databases.
• Develop and maintain dashboards and reports using Power BI, Tableau, or Looker.
• Monitor KPIs and business metrics to identify areas for improvement.
• Collaborate with cross-functional teams to understand analytical needs.
• Present findings clearly to technical and non-technical stakeholders.
• Assist in automating recurring reports and data workflows.

Skills

SQL

Data visualization

Excel

Python or R

Analytical thinking

Communication skills

Problem-solving

Education

Master’s degree in Business Analytics

Master’s in Data Analytics

Tools

Power BI

Tableau

Looker

Google Sheets

Excel

Job description

NeuroHire is looking for a motivated and detail-oriented Business Data Analyst to join our team. In this role, you will transform raw data into meaningful business insights that support strategic decision-making, improve operational efficiency, and identify opportunities for growth.

You will work with business data, analyze trends, monitor key performance indicators (KPIs), and develop reports and dashboards to help teams make informed decisions. This position is ideal for an early-career professional who enjoys solving problems, working with data, and translating analytical findings into actionable recommendations.

Key Responsibilities

• 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.

• 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.

Preferred Qualifications

• 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.

• 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.