Financial Analyst (Power BI Specialist)

Reolink; Singapore; On-site; SGD 55,000 - 75,000; Full time

Job summary

Reolink is looking for a Financial Analyst (Power BI Specialist) in Singapore to enhance financial planning and reporting. This role requires strong technical skills in Power BI, financial acumen, and the ability to turn complex data into actionable insights.

The successful candidate will prepare financial reports, conduct variance analysis, and develop automated reporting processes, ensuring efficient data management and collaboration across departments.

Qualifications

• 3–7 years of relevant experience in financial analysis or business analytics.
• Hands-on experience with large datasets and ERP systems.
• Ability to design dashboards using Power BI.

Responsibilities

• Prepare monthly, quarterly, and annual financial reports.
• Conduct variance analysis against budget and forecast.
• Design and maintain interactive Power BI dashboards.

Skills

Power BI

Excel

SQL

Financial modeling

Python or R

Education

Bachelor’s degree in Finance, Accounting, Data Analytics, or Economics

Tools

ERP systems

Data warehouses

ETL tools

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.

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

• 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.
• 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.
• 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

• 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 able to work independently.
• Comfortable working under tight deadlines in a fast‑paced environment.
• Excellent stakeholder management and cross‑functional collaboration skills.
• Continuous improvement mindset with interest in automation and innovation.

During the recruitment process, we collect and process personal data to assess your suitability for employment. This may include your name, phone number, email address, CV/resume, educational background, work experience, interview records, assessment results, references, and, where permitted by law, information obtained through background checks.

We collect most of this information directly from you through your application, interviews, assessments, correspondence, and recruitment platforms. We may also obtain relevant information from referees, recruitment agencies, background screening providers, or other lawful sources.
We implement appropriate technical and organisational security measures to protect your personal data. We retain candidate personal data only for as long as necessary for the recruitment process, applicable legal requirements, dispute resolution, and recordkeeping obligations. Thereafter, your data will be securely deleted or anonymized.