Note: The job is a remote job and is open to candidates in USA. Nova Infotek is supporting a large-scale enterprise analytics initiative for a leading Fortune 100 Supply Chain organization. They are seeking 3 Entry-Level Data Analysts to join their analytics team, responsible for operational reporting, business intelligence, and data-driven decision-making across multiple business functions.

Responsibilities

• Analyze structured business and operational datasets to identify trends, anomalies, performance drivers, and improvement opportunities
• Develop, maintain, and enhance recurring reports, dashboards, and KPI scorecards used by business and operational stakeholders
• Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes
• Perform data profiling, data quality checks, and reconciliation activities to ensure reporting accuracy and consistency
• Support root-cause analysis and ad hoc analytical requests using enterprise data sources
• Assist in the design and maintenance of reporting datasets and business metrics
• Translate business requirements into analytical outputs and reporting solutions
• Collaborate with cross-functional teams including Operations, Finance, Product, Supply Chain, Engineering, and Business Intelligence teams
• Document data definitions, business rules, KPI calculations, and reporting methodologies
• Support ongoing reporting automation and analytics process improvement initiatives

Skills

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, Information Systems, or a related quantitative discipline
• 0-2 years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical functions (internships, research projects, and academic experience will be considered)
• Strong working knowledge of SQL, including Joins, Aggregations, Subqueries, Window Functions and Data Filtering and Transformation
• Advanced proficiency in Microsoft Excel, including Pivot Tables, Lookup Functions, Data Validation, and Analytical Modeling
• Strong understanding of data analysis methodologies and problem-solving techniques
• Ability to interpret complex datasets and communicate findings effectively to technical and non-technical stakeholders
• Strong attention to detail and commitment to data accuracy
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker
• Exposure to Python, Pandas, NumPy, or similar analytical tools
• Familiarity with relational databases, data warehousing concepts, and enterprise reporting environments
• Understanding of data governance, data quality management, and KPI development
• Exposure to cloud-based analytics environments such as AWS, Azure, or GCP
• Knowledge of operational analytics, supply chain analytics, manufacturing analytics, customer analytics, or business performance reporting

Company Overview