Position: Data Analyst
Company: Brightgrove
Experience required: 3y
Category: Data Analyst
English level: upper
Published: 2023-04-01T00:00:00+03:00

**Project Description:**
Our team is collaborating with a well-known technology provider in the New York City real estate market, bringing over 35 years of experience in the industry. They have established themselves as pioneers in digital transmission and remain a trusted source of technical expertise and systems management. Their success in overseeing numerous data conversions for major firms in New York City showcases their commitment to innovation and continuous improvement.

As our client continues to grow and innovate, we are seeking an exceptional Data Analyst to assist them in making data-driven decisions and provide valuable insights to their team.

**Team and Delivery Process:**
We are following Agile processes and you will work closely with Scrum teams of Engineers, QAs, UI/UX designers, as well as product owners, managers, trainers, and customers to create a high-quality product.

**Responsibilities:**
- Collect and interpret large datasets from various sources.
- Clean and organize datasets to ensure data quality and integrity.
- Analyze data to identify trends, patterns, and insights.
- Develop dashboards, reports, and visualizations to communicate findings to stakeholders.
- Create presentations to showcase analysis results to different audiences.
- Collaborate with cross-functional teams to provide data-driven insights and recommendations.
- Continuously monitor and evaluate data to identify areas for improvement.

**Candidate Requirements:**
- Minimum of 2 years of experience in data analysis and report building.
- Proficient in data analysis tools (e.g., SQL, Excel, Python, R).
- Experience in building dashboards and reports using BI tools (e.g., Tableau, Power BI).
- Excellent communication and presentation skills in English.
- Ability to work independently and collaborate effectively with others.
- Strong problem-solving and analytical skills.

**Preferred Qualifications:**
- Domain experience in real estate, including understanding of real estate data and metrics such as occupancy rates, rental prices, and property values.