Data Analyst (Entry-Level) – Business Intelligence & Reporting

Job Description

Data Analyst | Webologix Ltd/ INC

The Tone:
This is a full-time role at Webologix Ltd/ INC, with onsite, hybrid, and remote options available across the United States. Webologix empowers businesses by transforming complex data into clear, actionable insights, supporting critical decision-making processes. This role is crucial for enhancing our data analytics capabilities, developing key reports, and driving business intelligence initiatives. You will play a vital part in providing the data-driven understanding that guides our strategic direction and operational improvements.

The TL;DR
• Role: Early Career
• Type: Full-Time
• Location: Remote, Hybrid, In-person, United States

• Mission: Transform complex datasets into actionable business insights to support data-driven decision-making initiatives.
• Tech Stack: SQL, Microsoft Excel, Power BI, Tableau, Python, Data Visualization, Statistical Analysis, Data Cleaning & Transformation, Business Intelligence, Reporting & Dashboard Development

What You’ll Actually Do
• Data Management: Collect, clean, validate, and analyze large datasets from multiple sources.
• Reporting & Visualization: Develop and maintain reports, dashboards, and data visualizations to present insights.
• Performance Analysis: Perform data mining, trend analysis, and business performance analysis.
• Stakeholder Collaboration: Collaborate with stakeholders to gather reporting and analytics requirements.
• Strategic Insight: Identify business opportunities and process improvements through data insights.

The Must-Haves
• Background: Minimum: Master’s Degree in Data Analytics, Business Analytics, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics, Applied Statistics, Quantitative Analytics, or a related quantitative field.
• Experience: 0–3 years of experience in Data Analytics, Business Intelligence, Reporting, Data Visualization, or Business Analytics.
• Skills: Strong analytical, quantitative, and problem-solving skills; excellent communication, presentation, and stakeholder management abilities; ability to work with large datasets and analytical tools.
• Bonus: Experience with SQL, Microsoft Excel, Power BI, Tableau, Python, statistical analysis, data cleaning & transformation, or business intelligence tools.