FBS Data Engineer (SQL & Power BI)
农民商务服务是农民运营的一部分，旨在建立全球对识别，招聘，雇佣和保留顶尖人才的方法。通过将国际影响力与美国专业知识结合起来，我们构建了多元化且高性能的团队，这些团队能够在当今竞争激烈的市场上壮成长。我们相信每个成功的企业的基础都在于拥有正确的人有正确技能。这就是我们帮助农民建立一个赢得胜利的团队来实现一致和可持续的结果的地方。由于我们没有本地法律实体，我们已经与 Capgemini 合作，它作为记录的雇主。卡普杰米尼负责管理当地工资和福利。你在我们之旅中可以期待什么：· 一家有强大的市场存在的坚实创新公司 · 动态，多元化和多元文化的工作环境 · 有深入的市场知识和战略愿景的领导者 · 持续学习和发展要求总结：我们寻求一个具有强的 P&C 保险背景的数据工程师与业务利益相关方，产品所有者以及技术团队合作，将业务需求转换成清晰可操作的财务损失报告和分析解决方案的要求。理想的候选人将分析业务数据故事，记录功能要求，支持数据产品认证，验证业务规则，并确保交付的解决方案满足报告，数据质量和下游消费需求。核心责任：收集，分析和记录业务需求；促进与中小企业和利益相关者进行讨论；将业务数据历史转化为功能规格；支持源到目标地图和商业规则验证；协助 UAT 计划和执行；跟踪问题，决策和批准；以及与数据工程团队合作以确保要求得到准确实施。•为质量，业务流程功能或其他具有中等复杂性的战略/数据/分析举措开发适度复杂的基于价值的分析解决方案。•与跨职能团队合作确定和制定分析需求。•创建详细文件和业务计划，以满足利益相关者的需要。•对数据解决方案进行 IT 和产品管理之间的联系。•开发并实施使用各种数据-ma 的企业范围内的适度复合数据集成策略
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FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.
We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.
Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.
What to expect on your journey with us:
· A solid and innovative company with a strong market presence
· A dynamic, diverse, and multicultural work environment
· Leaders with deep market knowledge and strategic vision
· Continuous learning and development
Requirements
Summary:
We seek a Data Engineer with a strong P&C insurance background to partner with business stakeholders, product owners, and technology teams to translate business needs into clear, actionable requirements for financial loss reporting and analytics solutions. The ideal candidate will analyze business data stories, document functional requirements, support data product certification, validate business rules, and ensure delivered solutions meet reporting, data quality, and downstream consumption needs. Core Responsibilities: Gather, analyze, and document business requirements; facilitate discussions with SMEs and stakeholders; translate business data stories into functional specifications; support source-to-target mapping and business rule validation; assist with UAT planning and execution; track issues, decisions, and approvals; and collaborate with data engineering teams to ensure requirements are implemented accurately.
Responsibilities:
•Develops moderately complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives of moderate complexity.
•Collaborates with cross-functional teams to identify and establish analytics requirements.
•Creates detailed documentation and business plans that address stakeholder needs.
•Liaises between IT and Product Management for data solutions.
•Develops and implements moderately complex enterprise-wide data integration strategies that utilize various data-marts and data warehouse applications to enhance reporting.
•Continuously works to improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines.
•Consults with limited guidance from Principal on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings.
•Uses intermediate understanding of data elements, structures, standards typically involved in financial services transactions, reporting, and cloud-based data storage/sharing to adopt and apply standards in a way that satisfies and balances regulatory and compliance requirements with business needs.
•Manages data from multiple sources and uses project management skills to complete moderately complex projects with minimal coaching and guidance.
•Transmits data and proactively works to ensure data quality. Troubleshoots data issues and devises creative and effective ways to avoid or mitigate issues.
Benefits
This position comes with a competitive compensation and benefits package.
· A competitive salary and performance-based bonuses.
· Comprehensive benefits package.
· Flexible work arrangements (remote and/or office-based).
· You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
· Private Health Insurance.
· Paid Time Off.
· Training & Development opportunities in partnership with renowned companies.
Originally posted on Himalayas