Data Eminence announced job vacancy for the post of Data Analyst. The place of posting will be at Remote (Work from Home).Candidates who have completed Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Information Technology, or a related field with 0–2 years of experience in data analysis or relevant projects are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Data Eminence |
| Required Qualifications | Graduate |
| Skills | Strong understanding of data analysis fundamentals |
| Category | Data Analysis |
| Work Type | Remote |
They believe in learning by doing. You will gain practical experience with 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.
At Data Eminence, they believe data-driven decision-making is essential for business growth and operational efficiency. As a Data Analyst, you will work closely with business teams, developers, and other analysts to interpret datasets, identify patterns, and communicate actionable insights.
Job Details
Θ Positions: Data Analyst
Θ Job Location: Remote (Work from Home)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 4480435607
Roles and Responsibilities:
- 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.
Required Skills & Qualifications:
- 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.
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