数据与会计分析师
Data & Accounting Analyst
这是一个远程职位。
我们正在寻找一位数据与会计分析师，具备扎实的数据分析、会计和商业智能背景，以支持我们的市场营销和财务决策。理想的候选人应具备高度的分析能力，注重细节，并能主动发现推动业务成功的关键洞察。主要职责：
· 分析财务和营销数据以支持业务增长。
- 从商业智能数据库中提取并解读关键数据。
- 创建详细报告以跟踪绩效、趋势和机会。
- 使用商业分析工具评估公司表现。
- 与会计数据合作，确保准确性和财务一致性。
- 主动沟通发现，以影响公司战略。
要求
资格与技能：
· 在数据分析、会计和报告方面有扎实的专业知识。
- 有餐厅管理系统（如 Restaurant365）的经验。
- 熟练使用 Excel、Microsoft Office 套件和 AI 工具。
- 了解 Sage、QuickBooks 或类似会计软件。
- 能够生成清晰、数据驱动的报告和战略洞察。
- 优秀的沟通能力，能够将复杂数据转化为可操作的建议。
注意事项：工具：Microsoft office 套件、Restaurant 365（会计系统）、AI 工具、Sage 优先 排班：每周 40 小时/待定 此职位适合一位注重细节的专业人士，喜欢处理数字、提取有价值见解并影响业务决策。
最初发布于 Himalayas
查看英文原文
This is a remote position.
We are looking for a Data & Accounting Analyst with a strong background in data analysis, accounting,
and business intelligence to support our marketing and financial decision-making. The ideal candidate is highly analytical, detail-oriented, and proactive in identifying insights that drive business success. Key Responsibilities:
· Analyze financial and marketing data to support business growth.
- Extract and interpret key data from business intelligence databases.
- Create detailed reports to track performance, trends, and opportunities.
- Utilize business analytics tools to assess company performance.
- Work with accounting data to ensure accuracy and financial alignment.
- Communicate findings proactively to influence company strategy.
Requirements
Qualifications & Skills:
· Strong expertise in data analysis, accounting, and reporting.
- Experience with Restaurant Management Systems (e.g., Restaurant365).
- Proficiency in Excel, Microsoft Office Suite, and AI tools.
- Knowledge of Sage, QuickBooks, or similar accounting software.
- Ability to generate clear, data-driven reports and strategic insights.
- Excellent communication skills to translate complex data into actionable recommendations.
IMPORTANT NOTES: Tools: Microsoft office suite, Restaurant 365 (Accounting System), AI tools, Sage Preferred Schedule: 40 hours per week/ TBD This role is ideal for a detail-oriented professional who enjoys working with numbers, extracting valuable insights, and shaping business decisions.
Originally posted on Himalayas