Business Intelligence Analyst/Lead

The Finance Business Intelligence Analyst / Lead is the bridge between Finance and IT at Nexomer, a private equity-backed specialty materials company. The role supports the data, systems, and reporting infrastructure behind financial planning, performance management, and decision-making across the business. As Nexomer separates from legacy Goodyear systems under the Transition Services Agreement (TSA) and moves to SAP S/4HANA, this role will be a key Finance contributor in establishing standalone finance systems: translating finance requirements for IT and implementation partners, validating data conversion, and building the reporting and dashboard layer on a Snowflake data platform. At the conclusion of the TSA, the role owns the integrity of the mapping between reporting hierarchies and master data, dashboards, and reporting packages, and helps the team build toward more automated, AI-enabled, and advanced analytics over time. With M&A as core to the growth story, this individual will be a key resource in assessing synergies and analyzing potential acquiree data and information. Principle Duties and Responsibilities

• Systems Implementation & TSA Exit: Represent Finance with IT and implementation partners on the SAP S/4HANA implementation and related planning, consolidation, and BI tools. Gather and document finance requirements, partner with the Controllership team on chart of accounts and hierarchy design, support data conversion and reconciliation, and coordinate finance user acceptance testing (UAT) ahead of TSA exit milestones.
• Data Management & Controls: In partnership with Controllership and functional teams, own the relationship linkages between reporting hierarchies and master data. Set up data quality checks, reconciliations, and documentation so the organization has a single source of truth across all business systems.
• Data Platform & Integration: Work with IT to build and maintain finance data models in Snowflake, sourced from SAP S/4HANA and other systems, using SQL and other standard integration tools. Replace manual, spreadsheet-based processes with automated workflows.
• AI-Enabled Analytics: Help implement and maintain Claude and MCP (Model Context Protocol) connectors between SAP, Snowflake, and other internal systems so finance users can access data and automate routine analysis, with appropriate access controls and data accuracy checks.
• Dashboards & Reporting: Design, build, and maintain Power BI (or similar) dashboards for P&L, margin, price/volume/mix, cost, working capital, and operating KPIs. Automate recurring executive, Board, and lender reporting packages.
• Building Toward Advanced Analytics: As data maturity grows, help lay the foundation for more advanced analytics, such as driver-based forecasting and statistical modeling, to support FP&A forecasting, pricing, and cost analysis.
• Business Partnership & Enablement: Work with FP&A, Accounting, Commercial, and Operations to understand reporting needs and set priorities. Train users on self-service tools and drive adoption.
• Ongoing Systems Ownership: Serve as the finance systems super-user after go-live: manage enhancements, user access, and change requests, and maintain the finance data and reporting roadmap.
• Strategic Finance & M&A Support: Analyze target company data and systems during diligence, support synergy assessment, and plan data and reporting integration after close

Knowledge, Skills and Capabilities

• Advanced Power BI (DAX, data modeling) and strong SQL.
• Working knowledge of SAP S/4HANA finance data structures and Snowflake.
• Interest in or experience with AI tools (e.g., Claude) and system integrations (MCP connectors, APIs).
• Python or R experience is a plus; the team will build toward these capabilities over time.
• Solid understanding of financial statements, general ledger structure, cost accounting, and FP&A processes.
• Ability to translate business requirements into technical specifications, and to explain technical topics to finance users.
• Data governance and internal controls mindset; project management across implementation workstreams.
• Clear communication and data storytelling; advanced Excel.

Experience

• Analyst: 3–5+ years; Lead: 6+ years in finance analytics, business intelligence, FP&A, or finance systems roles, with hands-on experience in both finance and data/technology.
• Participation in an ERP implementation; SAP S/4HANA experience strongly preferred. Carve-out, TSA exit, or system separation experience a plus.
• Experience with Snowflake or a similar cloud data platform.
• Building enterprise dashboards and data models used by senior leadership.
• Manufacturing, chemicals, or industrial environment preferred; PE-backed or high-growth experience a plus.
• Leading cross-functional project workstreams.

Education Bachelor's degree in Finance, Accounting, Economics, Data Science, Computer Science, Information Systems, or another quantitative field required Master's in data science/Analytics or MBA; CPA, CMA, or CFA (or progress toward); Power BI (PL-300), Snowflake, or SAP certifications desired