Financial Analyst (Power Bi Specialist)

About Reolink Reolink is a fast-growing global technology group headquartered in Singapore, with operations and customers across North America, Europe, and Asia. We deliver innovative smart technology and security solutions powered by a strong international footprint and ambitious global expansion plans. As we continue to scale, we are strengthening our engineering team with individuals who thrive on innovation, ownership, and technical excellence. Role Overview The Financial Analyst (Power BI Specialist) plays a key role in strengthening the company’s financial planning, reporting, and analytics capabilities. This position is responsible for delivering high‑quality financial insights through advanced data modeling, interactive dashboard development, and automation of reporting processes. Working closely with FP&A, Finance, and cross‑functional business teams, the analyst drives data‑driven decision‑making by transforming complex financial data into clear, actionable insights. The ideal candidate combines strong financial acumen with deep technical expertise in Power BI, ensuring accuracy, efficiency, and scalability across the company’s reporting framework. Key Responsibilities Financial Reporting & Analysis Prepare monthly, quarterly, and annual financial reports , ensuring accuracy and timeliness. Conduct comprehensive variance analysis against budget, forecast, and prior periods. Analyze key financial metrics including revenue performance, cost drivers, gross margins, working capital , and operational KPIs. Support budgeting, forecasting , and long‑range financial planning cycles. Provide ad-hoc financial modeling, scenario analysis , and business insights to management. Power BI Development & Data Visualization Design, develop, and maintain interactive and user‑friendly Power BI dashboards for management reporting. Build automated financial reports using Power Query, DAX , and best‑practice data modeling techniques. Integrate and transform data from ERP systems, databases, and other data sources to ensure consistent reporting. Optimize data models for performance, stability, and scalability . Develop standardized KPI dashboards to support decision‑making across business units. Data Management, Governance & Automation Ensure accuracy, completeness, and integrity of financial data used in reporting. Automate manual reporting processes to improve efficiency and reliability . Enhance reporting frameworks, analytics capabilities, and data workflows. Document data definitions, transformation logic, dashboard methodology , and reporting processes. Cross-Functional Collaboration Partner with FP&A, Accounting, Operations, Sales, Marketing, and other departments to deliver clear financial insights. Translate complex financial and data concepts into concise, actionable insights for non-finance stakeholders. Support business teams with analytical needs and drive adoption of data‑driven decision‑making. Key Deliverables / KPIs Timely and accurate delivery of financial reports. High adoption and usage of dashboards by business stakeholders. Reduction in manual reporting time through automation. Improved forecasting accuracy and analytical effectiveness. Quality and clarity of insights presented to management. Qualifications & Requirements Education Diploma or Bachelor’s degree in Finance, Accounting, Data Analytics, Economics , or a related field. Experience 3–7 years of relevant experience in financial analysis, FP&A, business analytics, or similar roles. Hands-on experience working with large datasets and ERP systems . Prior experience in multinational companies or fast‑growing environments is advantageous. Technical Skills Advanced proficiency in Power BI including dashboard design, data modeling, DAX, and Power Query. Strong skills in Excel (PivotTables, Power Pivot, advanced formulas). Working knowledge of SQL for querying and data extraction. Financial modeling capability (DCF, scenario planning, sensitivity analysis). Experience with Python or R for analytics (preferred). Familiarity with data warehouses, ETL tools , or enterprise BI platforms (preferred). Core Competencies Strong analytical and problem-solving skills. Commercial mindset with the ability to connect data to business outcomes. High attention to detail and accuracy. Clear communication skills, especially in presenting insights to non-finance partners. Strong organizational and time-management abilities. Personal Attributes Proactive, self-driven, and a…