Senior FP&A Analyst

Key Responsibilities

• Weekly reporting cadence (primary): Produce and continuously improve our weekly reporting suite — A/R movement and aging analysis across top customers, shipped/sales flash reporting by brand, and daily/weekly cash visibility reporting.
• Brand P&L and margin analysis: Build brand-level P&L views, gross margin bridges, and channel/customer profitability analyses; investigate variances such as freight cost trends, drop-ship economics, and tariff impacts.
• Budgeting and forecasting: Support the annual budget and rolling forecast cycles, including revenue builds by brand and channel, opex planning, and variance-to-budget commentary for monthly reporting packages.
• Data and dashboards: Write and maintain SQL queries (SuiteQL against NetSuite; Postgres against our Azure-hosted reporting databases), maintain Power Query/Excel reporting models, and build dashboards in Power BI as we expand our reporting toolset.
• Ad hoc analysis: Support audit requests, lender reporting, and leadership questions as directed by the VP of Finance/CFO — delivering actionable insights with recommendations for next steps.

Qualifications

• 3–5 years of progressive FP&A or financial analysis experience; consumer products, manufacturing, or distribution background strongly preferred.
• Working SQL proficiency required on day one — comfortable writing joins, aggregations, and multi-table queries against an ERP or reporting database without hand-holding.
• Advanced Excel skills, including Power Query and complex model construction; you build things others can maintain.
• Working knowledge of Power BI, or the demonstrated ability to pick it up quickly — dashboard development is part of where this role is headed.
• Strong grasp of the three financial statements, accrual accounting, and how operational drivers flow into the P&L and working capital.
• ERP experience required; NetSuite strongly preferred, Dynamics GP exposure a plus.
• A self-directed working style — you take a loosely defined question, figure out where the data lives, and come back with an answer and a point of view.
• A knack for spotting data gaps, reconciling numbers that don't tie, and improving reporting workflows rather than just running them.
• Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field.

PREFERRED SKILLS AND EXPERIENCE

• Experience in an investor-backed or lender-reporting environment.
• Familiarity with Azure-based data infrastructure or Python for data analysis.
• Experience supporting an external audit (PBC preparation, reconciliations, walkthroughs).
• Familiarity with multi-brand or multi-entity consolidation.