Power BI Specialist | Finance Analyst

Job description

**Reolink**, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. - **5 Work Days Per Week** - **Office Near Tai Seng MRT, Tai Seng Exchange** - **Medical Benefits Provided** - **Entitled to Yearly Bonus & Performance Bonus** **Role Overview** 1. The Financial Analyst (Power BI Specialist) plays a key role in strengthening the company's financial planning, reporting, and analytics capabilities. 2. This position is responsible for delivering high‑quality financial insights through advanced data modeling, interactive dashboard development, and automation of reporting processes. 3. 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. 4. 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. **Qualifications & Requirements** 1. Bachelor's degree in Finance, Accounting, Data Analytics, Economics, or a related field. 2. **3–7 years** of relevant experience in financial analysis, FP&A, business analytics, or similar roles. 3. Hands-on experience working with large datasets and ERP systems. 4. Prior experience in multinational companies or fast‑growing environments is advantageous. **Technical Skills** 1. Advanced proficiency in Power BI including dashboard design, data modeling, DAX, and Power Query. 2. Strong skills in Excel (PivotTables, Power Pivot, advanced formulas). 3. Working knowledge of SQL for querying and data extraction. 4. Financial modeling capability (DCF, scenario planning, sensitivity analysis). 5. Experience with Python or R for analytics (preferred). 6. Familiarity with data warehouses, ETL tools, or enterprise BI platforms (preferred).