The Value Maximizer
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Basking Ridge, NJ, lasting 6+ months, with a pay rate of "TBD." Key skills include SQL, EDA, ERP systems experience, billing analytics, and GCP proficiency. Domain expertise in telecom is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#BigQuery #AI (Artificial Intelligence) #Data Reconciliation #Oracle #Cloud #Storage #Compliance #ML (Machine Learning) #GCP (Google Cloud Platform) #Python #Data Extraction #"ETL (Extract #Transform #Load)" #SQL Queries #Predictive Modeling #SQL (Structured Query Language) #Automation #Datasets #SAP #Data Analysis
Role description
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 - CorporateLocation: Basking Ridge, NJDuration: 6+ MonthsRole and responsibilities1. 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 requirementsThe 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 PythonNice-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
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 - CorporateLocation: Basking Ridge, NJDuration: 6+ MonthsRole and responsibilities1. 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 requirementsThe 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 PythonNice-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
