Reference: 5375 SJ

Job Description:

The Data Analyst will provide data related support, data investigation, research, data management and data reporting.
The Data Analyst role will troubleshoot and investigate data anomalies and issues along with working directly with the different divisions to follow through and get the issues fixed.
This person will also assist in building predictive systems to help catch issues before they arise and assist in building and support financial reporting.
Perform extensive data validation/quality assurance analysis within datasets
Build proactive data validation automation to catch data integrity issues
Ability to organize and lead meetings with business and operational data owners
Coordinate and communicate between business users and the data warehouse, balancing requirements and resources to solve business problems
Strong ability to troubleshoot and resolve data issues
Ability to build tabular and/or visualization reports as needed
Work independently and with team members to understand database structure and business processes
Help form data management and governance processes
Work with a variety of data sources – extracting knowledge and actionable information from massive datasets
Build and flesh out data models in our database for use in regular and/or automated reporting and analysis
Be a passionate problem solver – breaking down problems and developing analytical insights
Convey your work and results to a wide variety of internal and external stakeholders
Evaluate operations for inefficiencies and identify areas where you can create, automate, and develop tools (SQL-based or otherwise)
Support the business with ad hoc reporting
Continuously strive for a deeper understanding of our business drivers
Offer insight to all aspects of the organization – finance, property management, facilities management and asset management.

Qualifications:

Minimum of 2 years working experience in technical data analysis, data science, or data warehousing with proven business analysis experience
Experience with SQL and Excel (Experience with Python or R is a plus, but not expected)
Excellent presentation, writing, and Excel skills are a must
Excellent communication skills
Passionate about data and analyzing business needs