Entry-Level Data Analysts

Job Description

Entry-Level Data Analyst | Nova Infotek

The Tone:
This is a full-time role at Nova Infotek. The company is actively supporting a large-scale enterprise analytics initiative for a leading Fortune 100 Supply Chain organization. This position is designed for individuals eager to build hands-on experience across enterprise-scale datasets, SQL-based analysis, reporting automation, dashboard development, and stakeholder-facing analytics. It offers a clear path to contribute to data-driven decision-making within a significant enterprise environment.

The TL;DR
• Role: Early Career
• Type: Full-time

• Team: Joins a growing analytics team supporting operational reporting, business intelligence, KPI measurement, and data-driven decision-making across multiple business functions.
• Mission: This person will support operational reporting, business intelligence, KPI measurement, and data-driven decision-making for various business functions.
• Tech Stack: SQL, Microsoft Excel, Power BI, Tableau, Looker, Python, Pandas, NumPy, AWS, Azure, GCP

What You’ll Actually Do
• Analyze datasets: Identify trends, anomalies, performance drivers, and improvement opportunities within structured business and operational data.
• Develop reports: Create, maintain, and enhance recurring reports, dashboards, and KPI scorecards for business and operational stakeholders.
• Optimize queries: Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes.
• Ensure data quality: Perform data profiling, data quality checks, and reconciliation activities to maintain reporting accuracy and consistency.
• Support stakeholders: Translate business requirements into analytical outputs and reporting solutions, and support ad hoc analytical requests.

The Must-Haves
• Background: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, Information Systems, or a related quantitative discipline.
• Experience: 0-2 years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical functions, including internships, research projects, and academic experience.
• Skills: Strong working knowledge of SQL, advanced proficiency in Microsoft Excel, a solid understanding of data analysis methodologies, the ability to interpret complex datasets and communicate findings effectively, and strong attention to detail.
• Bonus: Experience with Power BI, Tableau, or Looker; exposure to Python, Pandas, or NumPy; familiarity with relational databases, data warehousing concepts, or cloud analytics environments (AWS, Azure, GCP); or knowledge of operational or supply chain analytics.