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Gorilla Commerce/Hills Point Logo

Sr. Data Analyst

Gorilla Commerce/Hills Point

Salary not specified
Oct 9, 2025
Norwalk, CT, US
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Gorilla Commerce is looking for a Sr. Data Analyst to transform large, complex, and highly manual data into actionable insights and automated processes to support the Controller and broader Finance organization.

Requirements

  • Advanced skills in Excel (pivot tables, power queries, formulas, VBA/macros a plus).
  • Experience with large dataset manipulation (NetSuite, Power BI, Toolio, SQL or similar systems).
  • Strong analytical problem-solving skills; ability to work with incomplete or messy datasets.
  • Basic understanding of financial statements (Income Statement, Balance Sheet, Cash Flow) and business processes.

Responsibilities

  • Own large, complex financial and operational datasets (NetSuite, marketplace reports, external files) and translate them into usable formats.
  • Build, streamline, and automate recurring data models and reporting processes to reduce manual workload.
  • Develop advanced Excel and/or BI dashboards (Power BI, Toolio, etc.) for financial and operational performance tracking.
  • Support month-end and quarter-end reporting by structuring large data extracts into reconciled reporting packages.
  • Assist in variance analysis across sales channels, products, and cost drivers to identify risks and opportunities.
  • Identify inefficiencies in current manual processes and propose/implement data-driven solutions.
  • Support automation initiatives that enable scalability of reporting and analysis.

Other

  • 3–5 years of experience in data analytics, FP&A, or finance/accounting support (e-commerce/CPG preferred).
  • Intellectual curiosity and initiative — ability to find new ways to simplify and improve processes.
  • Comfortable managing multiple projects, meeting deadlines, and working independently with limited supervision.
  • Strong interpersonal skills and ability to communicate findings clearly to both finance and non-finance stakeholders.
  • While not a traditional accounting role, the ideal candidate will have a working knowledge of financial statements and business flows to contextualize data analysis.