Junior Data Analyst

We are seeking Junior Data Analysts to help train and improve next-generation AI models. In this role, you will evaluate AI-generated data analyses, SQL queries, dashboards, reports, and statistical insights. You will review datasets, identify inconsistencies, validate analytical approaches, and provide expert feedback to improve the accuracy, quality, and reliability of AI-generated data analysis outputs.

Key Responsibilities

• Review and evaluate AI-generated data analyses, reports, dashboards, and business insights.
• Assess data quality, accuracy, consistency, and completeness across datasets.
• Validate SQL queries, data transformations, aggregations, and reporting logic.
• Identify data inconsistencies, missing values, duplicate records, and analytical errors.
• Review data visualization practices for clarity, usability, and effectiveness.
• Evaluate statistical methods, trends, KPIs, and business performance metrics.
• Provide detailed feedback on query optimization, data cleaning, and reporting best practices.
• Analyze structured datasets to extract meaningful business insights.
• Review spreadsheet models, formulas, and data calculations.
• Contribute to improving AI capabilities in data analysis, reporting, and business intelligence.

Requirements

• Strong understanding of data analysis concepts and analytical thinking.
• Proficiency in Microsoft Excel or Google Sheets.
• Knowledge of SQL for querying and analyzing relational databases.
• Understanding of data cleaning, validation, and preprocessing techniques.
• Familiarity with data visualization principles.
• Basic understanding of statistics and business metrics.
• Ability to analyze datasets and identify trends, anomalies, and inconsistencies.
• Strong attention to detail and accuracy.
• Excellent analytical and problem-solving skills.
• Ability to communicate findings clearly and effectively.

Preferred Qualifications

• Experience with Power BI or Tableau.
• Familiarity with Python for data analysis (Pandas, NumPy).
• Experience with Microsoft Excel advanced functions, Pivot Tables, and Power Query.
• Knowledge of PostgreSQL, MySQL, or SQL Server.
• Familiarity with ETL processes and data pipelines.
• Understanding of business intelligence and reporting tools.
• Basic knowledge of data warehousing concepts.
• Experience with statistical analysis and KPI reporting.
• Familiarity with AI-assisted analytics tools.
• Experience using Git for version control is a plus.

What We Offer

• Flexible working hours.
• Opportunity to work on cutting-edge AI projects.
• Competitive compensation.
• Meaningful work helping shape the future of AI-powered data analysis and business intelligence.
• Hands-on experience reviewing and improving AI-generated analytical outputs.
• A collaborative and learning-focused work environment.

Skills Required

• Data Analysis
• Microsoft Excel
• Google Sheets
• SQL
• PostgreSQL
• MySQL
• Data Cleaning
• Data Validation
• Data Visualization
• Power BI
• Tableau
• Python
• Pandas
• NumPy
• Pivot Tables
• Power Query
• Business Intelligence (BI)
• Dashboard Development
• Reporting
• ETL Concepts
• Data Modeling
• Statistical Analysis
• KPI Reporting
• Data Interpretation
• Spreadsheet Analysis
• Query Optimization
• Data Quality Assessment
• Analytical Thinking
• Problem Solving
• Attention to Detail
• Critical Thinking
• Code Review (SQL)
• Business Analytics
• AI-Assisted Data Analysis