Senior Business Analyst

Btechnical Group; Coppell (TX); Sur place; USD 90 000 - 150 000; Plein temps

Résumé du poste

Btechnical Group is seeking a Revenue Business Analyst / Functional Lead to support a major data platform modernization engagement in Coppell, TX. You will own revenue domain discovery, requirements, business definitions, data mappings, and reconciliation, serving as the bridge between Finance and technical teams.

The role emphasizes governance, UAT, and senior stakeholder engagement, with potential expansion into additional domains after the revenue MVP.

Qualifications

• Strong technical business analysis experience in finance or revenue domain.
• Understanding taxation, POS transactions, promotional spend, and reconciliation processes.
• Solid SQL and data modeling skills.
• Ability to translate revenue/finance concepts into data rules.
• Workshop facilitation and stakeholder management skills.

Responsabilités

• Lead revenue domain discovery and translate complex revenue and financial concepts into clear, implementable data rules and requirements.
• Document business rules, source-to-target functional mappings, and metric definitions.
• Drive requirements traceability, reconciliation (including old-to-new), and business UAT.
• Investigate and resolve data reconciliation variances.
• Facilitate workshops and decision‑making with Finance stakeholders, including presentations to finance managers and CFO-level audiences.
• Partner with data engineering, architecture, governance, BI, and QA teams to ensure requirements are accurate and actionable.

Connaissances

SQL

Data modeling

Stakeholder management

Workshop facilitation

Business analysis

Finance domain knowledge

Outils

Databricks

Oracle Financials

Hyperion

Description du poste

Our clien is seeking a Revenue Business Analyst / Functional Lead to support a major data platform modernization engagement. You will own revenue domain discovery, requirements, business definitions, business rule documentation, source-to-target functional mappings, metric definitions, Finance engagement, requirements traceability, reconciliation, and business UAT for the Revenue Enterprise Data Product.

You will serve as the primary functional bridge between client Finance and domain stakeholders and the client's architecture, data engineering, governance, BI, and QA teams. This is a high-visibility role that expands into customer and labor domains after the initial revenue MVP.

What You’ll Do

• Lead revenue domain discovery and translate complex revenue and financial concepts into clear, implementable data rules and requirements
• Document business rules, source-to-target functional mappings, and metric definitions
• Drive requirements traceability, reconciliation (including old-to-new), and business UAT
• Investigate and resolve data reconciliation variances
• Facilitate workshops and decision-making with Finance stakeholders, including presentations to finance managers and CFO-level audiences
• Partner with data engineering, architecture, governance, BI, and QA teams to ensure requirements are accurate and actionable

What You Bring

• Strong technical business analysis experience with a financial or revenue domain background
• Demonstrated understanding of taxation, POS transactions, promotional spend, and reconciliation processes
• Solid SQL and data modeling skills
• Experience translating complex revenue/financial concepts into implementable data rules
• Strong workshop facilitation, stakeholder management, documentation, and business acceptance skills
• Comfort presenting to finance managers and senior Finance stakeholders
• Consulting background preferred, with experience working across multiple client environments

Nice to Have

• Exposure to Databricks (especially on a revenue or financial project)
• Oracle Financials, Hyperion, or similar ERP experience
• Experience with analytical data models, data quality, governed metrics, semantic layers, or enterprise data product concepts

This is a 6-month (+/-) contract to hire position that will convert assuming a good fit for all.