Senior Analytics Engineer (Procurement & Supplier Management)

Lancesoft; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Lancesoft seeks an experienced Senior Analytics Engineer to drive enterprise procurement and supplier analytics. You will transform complex data into actionable insights, build dashboards, and support strategic sourcing, contract management, and cost savings.

The role emphasizes cross-functional collaboration, data governance, and rigorous validation to ensure accurate reporting and informed business decisions.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years in complex data analytics, BI, analytics engineering, or related field.
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience developing dashboards/reports with Power BI or similar BI tools.
• Experience with forecasting, trend analysis, benchmarking, and analytics problem-solving.
• Understanding of data validation, reconciliation, data quality, and documentation practices.
• Ability to translate complex data into actionable business insights.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to work independently, prioritize tasks, and meet deadlines.
• Proven collaboration with cross-functional teams.

Responsibilities

• Analyze procurement spend, supplier performance, contracts, payments, and savings opportunities.
• Write and optimize complex SQL queries to extract and transform data from multiple sources.
• Develop and maintain dashboards and reports using Power BI or comparable BI tools.
• Perform forecasting, trend analysis, benchmarking, and scenario modeling for procurement and financial planning.
• Conduct data validation, financial tie-outs, reconciliation, and root cause analysis.
• Maintain data definitions, business rules, mappings, and reporting standards.
• Support data integration and reporting across procurement, supplier management, and financial systems.
• Collaborate with stakeholders to understand requirements and deliver analytical solutions.
• Identify opportunities to automate reporting and improve data accessibility.

Skills

SQL

Power BI

Forecasting

BI Dashboards

Data Governance

Data Quality

Stakeholder Management

Education

Bachelor's degree

Tools

Oracle

Coupa

Zip

Icertis

Job description

We are seeking an experienced Senior Analytics Engineer to support enterprise procurement and supplier management analytics. The ideal candidate will have strong SQL, business intelligence, forecasting, and data analysis skills, with the ability to transform complex datasets into actionable insights that support strategic sourcing, supplier performance, contract management, payment optimization, and cost savings.

This role requires strong analytical judgment, attention to detail, and the ability to collaborate with cross-functional stakeholders to develop dashboards, improve data quality, establish consistent reporting practices, and support data-driven business decisions.

Key Responsibilities

• Procurement & Supplier Analytics: Analyze procurement spend, supplier performance, contracts, payments, savings opportunities, and working capital to identify trends and improvement opportunities.
• Data Analysis & SQL: Write and optimize complex SQL queries to extract, transform, analyze, and validate data from multiple sources.
• Business Intelligence & Reporting: Develop and maintain dashboards, reports, and analytical solutions using Power BI or comparable business intelligence tools.
• Forecasting & Scenario Modeling: Perform forecasting, trend analysis, benchmarking, and scenario modeling to support procurement and financial planning.
• Data Quality & Reconciliation: Conduct data validation, financial tie-outs, reconciliation, and root-cause analysis to ensure accuracy and consistency.
• Data Governance & Documentation: Maintain data definitions, business rules, documentation, data mappings, and reporting standards.
• Systems & Integrations: Support data integration and reporting initiatives involving procurement, supplier management, contract management, and financial systems.
• Stakeholder Collaboration: Partner with procurement, strategic sourcing, supplier management, finance, and other business teams to understand requirements and deliver analytical solutions.
• Process Improvement: Identify opportunities to automate reporting, streamline analytical processes, and improve data accessibility and operational efficiency.
• Knowledge Sharing: Provide analytical guidance, document methodologies, and help stakeholders and analysts interpret data and reporting outputs.

Required Qualifications

• Bachelor’s degree in a relevant field or equivalent practical experience.
• 5+ years of experience in complex data analytics, business intelligence, analytics engineering, or a related field.
• Strong SQL skills, including querying, data extraction, transformation, and analysis.
• Experience developing dashboards and reports using Power BI or comparable BI tools.
• Experience with forecasting, trend analysis, benchmarking, and analytical problem-solving.
• Strong understanding of data validation, reconciliation, data quality, and documentation practices.
• Ability to translate complex data into clear, actionable business insights.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to work independently, exercise sound judgment, prioritize competing tasks, and meet deadlines.
• Proven ability to collaborate effectively with cross-functional teams.

Qualifications

• Experience in procurement, strategic sourcing, supply chain, supplier management, finance, or contract management analytics.
• Experience with spend analysis, cost savings tracking, supplier performance, payment terms, or working capital analytics.
• Familiarity with enterprise procurement and contract platforms such as Oracle, Coupa, Zip, or Icertis.
• Experience with statistical analysis, financial modeling, forecasting, and scenario analysis.
• Knowledge of data governance, data mapping, business rules, and data integration processes.
• Experience supporting analytics initiatives in healthcare or large enterprise environments.