Data Analyst

Data Eminence

The ideal candidate has strong analytical skills, attention to detail, and an interest in working with data to solve real-world business problems. This role provides hands-on experience in data analysis, dashboard development, statistical techniques, and business intelligence.

Full Description

Data Eminence

Your responsibilities will include:

• Collect, clean, validate, and organize data from multiple sources.
• Analyze structured datasets to identify trends, patterns, and relationships.
• Develop reports, dashboards, and visualizations to communicate findings.
• Write SQL queries to extract and manipulate data.
• Use Excel, Python, or other analytical tools for data processing.
• Perform exploratory data analysis and basic statistical analysis.
• Monitor key performance indicators and business metrics.
• Identify data inconsistencies and recommend improvements.
• Automate repetitive reporting and data preparation tasks.
• Collaborate with stakeholders to understand reporting requirements.
• Develop and maintain business intelligence dashboards.
• Prepare presentations and summaries of analytical findings.
• Support data quality and accuracy initiatives.
• Document analytical processes, assumptions, and methodologies.
• Explore AI-assisted analytical tools to improve productivity.

Excel, SQL, Python, Pandas, NumPy, Power BI, Tableau, Google Sheets, data visualization, statistics, dashboards, and AI-powered analytics tools

This is a hands-on analytical role where you will work with real datasets, develop reports, solve data-related problems, and strengthen your ability to translate information into meaningful business insights.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Information Technology, or a related field.
• 0–2 years of experience in data analysis or relevant projects.
• Strong understanding of data analysis fundamentals.
• Proficiency in Microsoft Excel or Google Sheets.
• Familiarity with SQL and relational databases.
• Basic knowledge of Python and data analysis libraries.
• Understanding of data cleaning and preprocessing.
• Familiarity with Power BI, Tableau, or similar visualization tools.
• Basic knowledge of statistics and analytical techniques.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and data accuracy.
• Good written and verbal communication skills.
• Ability to present analytical findings clearly.
• Ability to work independently and collaborate effectively in a remote environment.

Benefits

• Competitive salary based on skills and experience.
• Fully remote work flexibility.
• Paid time off and holidays.
• Professional development and learning opportunities.
• Company-provided equipment where applicable.
• Exposure to modern analytics and AI-powered tools.
• Opportunities to work on real-world data analysis projects.
• Supportive and collaborative remote work environment.