About the Company
We are supporting a large-scale enterprise analytics initiative for a leading Fortune 100 Supply Chain organization.
Employment Type: Full-time only, no Employer profile
Work Authorization: H4EAD, GC, GC-EAD, OPT/STEM OPT, CPT
About the Role
We are seeking 3 Entry-Level Data Analysts to join a growing analytics team responsible for supporting operational reporting, business intelligence, KPI measurement, and data-driven decision-making across multiple business functions. This role is ideal for candidates looking to build hands-on experience working with enterprise-scale datasets, SQL-based analysis, reporting automation, dashboard development, and stakeholder-facing analytics.
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.
Qualifications
- 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).
Required Skills
- 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.
Preferred Skills
- 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.
Pay range and compensation package
Contract Duration: 18-24 Months (Extendable) Headcount: 3 Openings
Equal Opportunity Statement
We are committed to diversity and inclusivity.