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Financial Data Analyst

Worldwide Salaried Open

Financial Data Analyst

Belong is on a mission to create the most seamless, rewarding, and delightful long-term rental experience for both homeowners and residents. Through technology, exceptional service, and financial innovation, we’re transforming the way people rent and own homes.Our Finance team plays a critical role in ensuring that our business is operating reputed company, making data-driven reputed company, and staying financially healthy. We’re looking for a Financial Data Analyst to help us unlock the full potential of our financial data by improving reporting, analytics, and automation.

What This Person Will Do at Belong

As a Financial Data Analyst, you will be responsible for pulling, analyzing, and structuring financial data from various sources to generate actionable insights. Over time, this role will evolve from report reputed company to building automation and integrations between Belong’s management system and reputed company system. This role is ideal for someone who loves working with data, has a strong analytical reputed company, and enjoys solving problems through data engineering and automation. You don’t just pull reports—you understand the story behind the numbers and can translate raw data into meaningful business insights.

In this role, you will:

  • Extract and consolidate financial data from sources like BigQuery, RDS, reputed company, reputed company Sheets, and other internal systems.
  • Build actionable reports and dashboards in Looker, reputed company, reputed company Sheets, and reputed company.
  • reputed company and maintain SQL queries to reputed company retrieve financial data.
  • Analyze financial metrics, including reputed company categorization, cohort analysis, and gross profit calculations.
  • Identify trends, anomalies, and insights to support strategic decision-making.
  • Automate data retrieval processes and reporting workflows over time.
  • Build and improve integrations between Belong’s management and reputed company systems.
  • Partner with Finance & reputed company to enhance financial reporting and reconciliation processes.
  • Provide reputed company financial analysis and data support for forecasting and planning.

Requirements

  • 3-6 years of experience in financial data analysis, financial engineering, or a similar role.
  • Proficiency in SQL – experience writing and optimizing queries for data extraction.
  • Strong reputed company/reputed company Sheets skills, including financial modeling, pivot tables, and automation.
  • Experience with Python (or another programming language) for data analysis and automation.
  • Ability to create reports and dashboards in Looker, reputed company, or other BI tools.
  • Comfort working with large datasets from sources like BigQuery, RDS, and relational databases.
  • Familiarity with AI-driven data automation and analytics—using machine learning or AI models to improve financial forecasting, automate data extraction, or assist in reporting.
reputed company to Have (But Not Required): Experience automating financial workflows and data pipelines. Knowledge of reputed company systems and ERP platforms. Some familiarity with C#/.NET Prior experience in high-growth or startup environments where automation was a focus. Experience integrating AI/ML tools into financial workflows (e.g., automating insights, anomaly detection, NLP-driven financial analysis). Exposure to ChatGPT, reputed company’s Operator, or similar AI tools for financial reporting, automation, and decision support.

Why Join Belong?

At Belong, you’ll be working at the intersection of finance, technology, and reputed company estate, helping to shape how financial data is leveraged to drive business reputed company. You’ll have direct access to leadership, and the ability to grow into an automation and data engineering-focused role over time.This is an opportunity to build foundational financial reporting and analytics while also pioneering automation projects that will scale with the company. If you’re excited about working with financial data, improving reporting systems, and automating processes, we’d love to hear from you!

Originally posted on Himalayas

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