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Data Analyst (Financial) DO- 03052025- FTDA

Remote: 
Full Remote
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Offer summary

Qualifications:

Proven work experience as a Data Analyst, Bookkeeping, or Financial Accounting., Bachelor's degree in Finance, Accounting, or a related field., Strong experience with data analysis tools such as Excel and Google Sheets., Excellent communication skills and attention to detail..

Key responsabilities:

  • Extract, clean, and analyze data from various accounting and procurement platforms.
  • Perform financial analysis and create reports to identify trends and opportunities for cost savings.
  • Develop and maintain dashboards that track key financial metrics and provide insights for operational improvements.
  • Collaborate with cross-functional teams to ensure accurate financial data reporting and forecasting.

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RippedBoxStation Startup https://www.rippedboxstation.com
11 - 50 Employees
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Job description

Position: Data Analyst (Financial/Bookkeeping/Reconciliation)

Number of hours: 20/40 hours/week

Schedule: BST

Tasks required:

  • Extract, clean, and analyze data from Xerox accounting, Unleashed manufacturing procurement, Shopify, Amazon, and ShipBob.
    Perform financial analysis and
  • create reports to identify trends, inefficiencies, and opportunities for cost savings.
  • Develop and maintain dashboards and reports that track key financial metrics.
  • Provide insights to optimize procurement, sales, and fulfillment processes.
  • Work closely with the finance team to ensure accurate financial data reporting and forecasting.
  • Collaborate with cross-functional teams to provide data-driven recommendations for operational improvements.
  • Ensure data integrity and accuracy across all platforms.
  • Other tasks as assigned

  • Requirements:
  • Proven work experience as a Data Analyst, Bookkeeping, Financial Accounting, or a relevant role is required
  • Bachelors degree in Finance, Accounting, or a related field.
  • Strong experience with data analysis tools (Excel, Google Sheets, etc.).
  • Familiarity with data extraction, reconciliation, and manipulation fromplatforms like Shopify, Amazon, ShipBob, and accounting systems.
  • Ability to work with large datasets and draw actionable insights.
  • Four key attributes are needed: high intelligence, problem-solving/initiative, dependability, and ability to access and navigate relevant APIs.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and ability to present data-driven recommendations to stakeholders

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Communication
  • Problem Solving

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