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Data Analyst


PayCompetitive
LocationNew Jersey
Employment typeContract
  • Job Description

      Req#: C67435FEBD
      We are looking for a detail-oriented Data Analyst to support corporate and financial analytics across enterprise systems such as ERP, billing, and financial reporting platforms. The ideal candidate will have strong expertise in SQL and EDA, along with hands-on experience in billing insights, financial reporting, compliance analytics, and cost optimization tracking (OPEX/TCO).

      Role: Data Analyst - Corporate

      Location: Basking Ridge, NJ

      Duration: 6+ Months

      Role and responsibilities

      1. Perform exploratory data analysis (EDA) on financial, ERP, and billing datasets

      2. Write and optimize SQL queries for data extraction, transformation, and reporting

      3. Analyze ERP data (finance, procurement, supply chain) to generate business insights

      4. Generate and validate billing insights, ensuring accuracy and reconciliation

      5. Support financial reporting and dashboard creation for business stakeholders

      6. Ensure compliance with financial regulations and reporting standards

      7. Track and analyze OPEX and TCO reduction initiatives, identifying cost optimization opportunities

      8. Perform data reconciliation and validation across multiple enterprise systems

      9. Utilize GCP (BigQuery, Dataproc, Cloud Storage) for data analysis and reporting

      Technical skills requirements

      The candidate must demonstrate proficiency in,
      • Strong proficiency in SQL (joins, aggregations, window functions)
      • Strong understanding of EDA and data analysis techniques
      • Experience working with ERP systems (SAP, Oracle, or similar)
      • Hands-on experience in:

      o Billing analytics and reconciliation

      o Financial reporting and KPI tracking

      o Compliance and audit-related data analysis
      • OPEX/TCO cost tracking and optimization analysis
      • Ability to work with large-scale financial and transactional datasets
      • Exposure to cloud platform - GCP- BigQuery, Dataproc, Composer
      • Strong Knowledge in Python

      Nice-to-have skills
      • Experience with predictive modeling / ML techniques (churn prediction, CLV models)
      • Experience with AI-native analytics tools and automation platforms
      • Domain expertise in telecom
  • About the company

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