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

• Collaborate on FinOps projects together with colleagues • Analyze client’s cloud environments to highlight optimization potential • Create transparency using cloud-native or 3rd party tools for cost allocation • Use communication skills to interact with various stakeholders • Develop FinOps blueprints and share knowledge with colleagues • Design and deliver FinOps trainings and give conference talks • Drive FinOps topic development and innovation within Reply • Expand offering with new opportunities, such as FinOps for sustainability

• Collect and organize large sets of data from various sources • Conduct thorough data analysis to identify patterns, trends, and insights • Create data visualizations and reports to effectively communicate findings to clients • Collaborate with team members to develop data-driven solutions for clients • Continuously monitor and evaluate data to identify areas for improvement and optimization • Present findings and recommendations to clients in a clear and concise manner • Stay up-to-date with industry trends and best practices in data analysis

• Work with data analysts to collect and interpret data • Create visualizations and dashboards to present data insights • Assist in developing and maintaining data visualization tools • Conduct data quality checks and cleansing • Assist in identifying patterns and trends in complex data sets • Support the implementation of data analysis and visualization best practices • Participate in training sessions to enhance data analytics and visualization skills • Collaborate with cross-functional teams to support data-driven decision-making • Assist in creating reports and presentations for internal and external stakeholders • Stay updated with the latest data visualization tools and techniques