Data specialist Job at Tecnics Consulting Inc, New York, NY

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  • Tecnics Consulting Inc
  • New York, NY

Job Description

Our client, a leading alternative asset management firm is looking for a Data Optimization Specialist to support the Real Estate arm of the business, who are responsible for creating data to inform decisions around high-value budgets associated with building amenities and developments. This involves planning and optimizing the utilization of spaces, facilities, and resources across various global locations.

Key Responsibilities:

  • Collaborate with Synthetic Studios to architect and structure data sources.
  • Collect, analyze, and interpret data to inform decisions on building amenities, such as conference rooms, elevators, and restrooms.
  • Manually pull and optimize data sets with flawed data for accurate decision-making.
  • Deliver data-driven insights and reports to senior management.
  • Work on optimizing data models to produce answers for various decision-making scenarios.
  • Facilitate the migration of data to the cloud when appropriate.
  • Ensure data security and restricted access to proprietary data.

Required Skills and Qualifications:

  • Proven experience in data optimization and working with large data sets.
  • Strong analytical and problem-solving skills.
  • Proficiency in data interpretation and delivering actionable insights.
  • Familiarity with third-party tools for data collection (e.g., sensors, smart building toolsets).
  • Understanding of data architecture and structure.
  • Experience in working with proprietary data systems and ensuring data security.
  • Excellent communication and collaboration skills.

Preferred Skills and Qualifications

  • Experience in real estate or building services industry.
  • Knowledge of cloud-based data solutions and SaaS.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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  • Dice Id: 10194889
  • Position Id: 8566889

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