- 経験
- 3～6歳
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 5時間前
- 作業モード
- 在宅勤務
- 再開する
- 応募必須
仕事内容
About the Role
We are seeking a skilled Data Engineer specializing in BI and Reporting to manage and expand the analytics and reporting infrastructure crucial for operational, revenue, customer, and executive decision-making. This hybrid role combines analytics engineering and BI engineering tasks, focusing on data modeling, workflow automation, and AI-assisted reporting processes.
Key Responsibilities
- Design and maintain scalable SQL and dbt models, data marts, semantic layers, and reporting datasets to support business teams.
- Organize and document complex data systems ensuring clean and structured data foundations.
- Develop and govern consistent business metrics, improving data quality and reporting standards.
- Manage production dashboards, KPI reports, and recurring reporting workflows to ensure accuracy and usability.
- Collaborate with stakeholders to define KPIs and establish clear reporting requirements.
- Automate reporting workflows and support AI-driven QA, data quality monitoring, and KPI generation.
- Implement data validation, alerting, monitoring, and troubleshoot discrepancies to enhance trust in reporting systems.
Candidate Profile
- 3 to 6 years' experience in analytics engineering, BI engineering, reporting engineering, or related data analytics and modeling roles.
- Proficient in advanced SQL and experienced in dbt for building transformation pipelines and analytic layers.
- Skilled in creating and maintaining SQL tables, data marts, semantic layers, and production-level dashboards.
- Experience with BI tools such as Looker, Tableau, Power BI, Metabase, Sigma, Hex, or Mode.
- Demonstrated ability to perform data QA, monitoring, reporting automation, with strong documentation and quality assurance practices.
- Independent ownership of reporting infrastructure and workflow automation.
Bonus Skills
- Experience working in fintech, payments, or B2B SaaS industries.
- Knowledge of HubSpot and CRM data, revenue operations, customer success data, or transaction/payment data.
- Expertise in KPI governance, metric definition, and data freshness monitoring with alerting systems.
- Familiarity with AI tools and workflow automation platforms such as OpenAI, Anthropic, n8n, AI agents, reporting bots, dashboard QA agents, and workflow orchestration.
- Experience transforming manual reporting tasks into automated processes.
Why Join Us
- Contribute to a platform transforming global money transfers, improving speed, cost, and transparency.
- Opportunity to impact billions of dollars in global transactions and innovate in the embedded finance space.
- Be part of a fast-growing fintech environment with meaningful ownership and measurable results.
- Collaborate cross-functionally with product, sales, and operations teams in a highly innovative setting.