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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
Job Description
  • Career Building|Collaborative work environment
About Our Client
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.
MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
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.
What's on Offer
Competitive rates and benefits starting from day 1!
Contact: Will Luff
Quote job ref: JN-062023-6088853