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Data Analyst / Engineer Jobs
Company | Michael Page |
Address | New York, United States |
Employment type | FULL_TIME |
Salary | |
Category | Leasing Non-residential Real Estate,Facilities Services,Real Estate |
Expires | 2023-07-17 |
Posted at | 10 months ago |
- Career Building|Collaborative work environment
High growth commercial real estate firm focused on the apartment market. Very collaborative and inclusive work environment offering many opportunities for professional growth and development.
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into data analysis and engineering tasks.
- Develop and maintain data pipelines, ensuring the efficient extraction, transformation, and loading (ETL) of data from various sources.
- Perform data analysis using statistical techniques and data visualization tools to identify trends, patterns, and actionable insights.
- Cleanse and preprocess data to ensure data integrity and quality.
- Stay updated with industry trends, best practices, and emerging technologies in data analysis and engineering.
- Conduct ad-hoc data analysis and provide data-driven recommendations to support decision-making processes.
- Create data visualizations, dashboards, and reports to effectively communicate findings to stakeholders.
The Successful Applicant
Requirements:
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Master's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, or a related discipline).
- Excellent problem-solving and analytical thinking skills.
- Solid understanding of statistical analysis and hypothesis testing.
- Strong programming skills in Python, including experience with data manipulation libraries (e.g., Pandas, NumPy) and data analysis libraries (e.g., SciPy, scikit-learn).
- 1-3 years of professional experience in a similar role, preferably within the private equity commercial real estate industry.
- Proficient in SQL for querying and manipulating large datasets.
- Ability to work independently and manage multiple projects simultaneously.
- Familiarity with ETL processes and data warehousing concepts.
- Strong communication and collaboration skills to effectively work with cross-functional teams.
Competitive rates and benefits starting from day 1!
Contact: Will Luff
Quote job ref: JN-062023-6088853
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