Data Analysis jobs in United States

We’re looking for a highly analytical Finance Data Analyst to join our Operations team working at the intersection of Finance Revenue Operations (RevOps) and cross‑functional stakeholders. You’ll provide deep financial insights that drive strategic decision-making across revenue forecasting, client billing, profitability assessments and ad hoc financial analysis.

You’ll serve as a critical bridge between data and operational decisions ensuring our financial operations are both accurate and relevant. Although this role is embedded within the Operations team, you will collaborate with Finance and RevOps teams to ensure alignment, consistency and transparency of financial data across the organisation. You’ll influence how we track and improve profitability, revenue trends and reporting frameworks both in daily reporting and bespoke strategic initiatives. You’ll be reporting to the VP of Operations.

• Financial Reporting – Create and analyse recurring (BAU) reports around client billing, revenue performance and profitability.
• Collaborate on data collection, governance and analysis of monthly recognition and forecasting cycles.
• Maintain analysis to support Finance and RevOps teams with up‑to‑date accurate metrics.
• Cross‑Functional Collaboration – Act as a partner to Finance and RevOps to agree on revenue recognition, billing accuracy and client‑level profitability.
• Participate in finance system transition efforts (e.g. Sage X3 to NetSuite) by supporting data migration validation and process adaptation.
• Ad Hoc & Strategic Analysis – Conduct exploratory and on‑demand financial analysis to support projects, business cases and performance reviews from department leads and senior leadership.
• Identify trends, outliers or risks within financial datasets and raise them for consideration.
• Data Operations & System Support – Extract clean and prepare data from financial systems and standard SQL‑based tables.
• Ensure data integrity across spreadsheets, internal platforms and financial software.
• Propose process improvements in financial data handling, reporting automation or analysis frameworks.

• 3 years of experience in a financial analysis, data analyst or FP&A role.
• Comfortable working with financial software platforms (experience with Sage X3 and/or NetSuite a strong plus).
• Functional familiarity with SQL to write simple queries to extract and interpret data.
• Detect anomalies or inconsistencies in data.
• Translate financial insights for non‑financial audiences.
• Tools – BigQuery, Looker, Excel / Google Sheets.
• Experience supporting cross‑functional financial initiatives with RevOps, AP or AR teams.
• Exposure to BI tools such as Looker, Tableau, Power BI or similar.

We emphasize skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team we invite you to apply today with your resume in English.

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions and empower you to tailor your work environment to suit your needs.

You’ll be eligible to join our discretionary annual bonus scheme.

Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8 am and 6:30 pm with flexible working hours.

Accumulate one paid day each month (2 hours per week) for self‑development and access to Jellyfish Learn.

Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers. We also provide 1 000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work.

Unfortunately there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish or if you suspect any fraudulent activity please report it to .

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Jellyfish will give preference to Employment Equity candidates in accordance with the company’s Employment Equity Plan and its affirmative action measures.

Remote Work : No

Employment Type : Full‑time

Key Skills: Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Department / Functional Area : Operations

Experience : years

Vacancy : 1