Power BI Specialist | Finance Analyst

Reolink · Singapore

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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

  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

Power BI Development & Data Visualization

Data Management, Governance & Automation

Cross-Functional Collaboration

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).

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