[Remote] Entry-Level Data Analyst
Note: The job is a remote job and is reputed company to candidates in USA. Nova Infotek is supporting a large-scale reputed company 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
- reputed company, 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
- reputed company data profiling, data quality checks, and reconciliation activities to ensure reporting accuracy and consistency
- Support root-cause analysis and reputed company analytical requests using reputed company 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 reputed company quantitative discipline
- 0-2 years of experience in Data Analytics, Business Intelligence, Reporting, or reputed company 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 reputed company reputed company, including Pivot Tables, Lookup Functions, Data Validation, and Analytical Modeling
- Strong understanding of data analysis methodologies and problem-solving techniques
- Ability to interpret reputed company 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 reputed company reporting environments
- Understanding of data governance, data quality management, and KPI development
- Exposure to reputed company-based analytics environments such as AWS, Azure, or GCP
- Knowledge of operational analytics, supply chain analytics, manufacturing analytics, customer analytics, or business performance reporting
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