10/05/2021
Who we are:
Gmaven is a business bringing fairness to the commercial real estate (CRE) industry, and helping the professionals working in it be more efficient.
We allow the best CRE businesses to better manage their data, and we layer this with tools that help people do steps in button clicks instead of hours. We support transparency, and believe in educating and supporting both our clients, and the wider industry customers (tenants).
Overview of the job position:
We are looking for an ambitious GIS professional with the discipline to run an existing process (as part of a phase 1), and the creativity, initiative and intelligence to reduce the existing handswork by at least 75% (phase 2). If successful in this project, we have higher responsibility, higher-paying roles thereafter (phase 3).
Commercial property funds or property managers periodically (monthly, bi-monthly) send, via email, a list of all the vacant units in their portfolio (known as a vacancy schedule) for us to capture. After capturing the information we make it available directly through our system to broker clients.
Duties and responsibilities:
Keep Gmaven's vacancy feed up to date
Review and import data captured daily (by external team)
Review rules and logic that govern data import process
Use SQL / PostgreSQL to manage and sort through relevant data
Use queries to cross check data quality and correctness
Review captured data with source of truth
Keep capture sheets up to date (Google Sheets)
Review and resolve queries related to the commercial real estate industry
Take responsibility to increase Gmaven's coverage of data processed.
Use scripting languages to automate processes
Use GIS tools to improve and automate processes
Communicate clearly with providers of the vacancy schedules to ensure Gmaven data is continuously up to date
Qualification:
Associate or Bachelor’s degree in Geographic Information Systems or other related degrees.
Technical requirements:
Strong system-driven approach to task delivery (with the ability to think algorithmically and flowchart processes)
Comfortable with implementing GIS related tools: QGIS, Google Earth, etc.
Comfortable with basic scripting tools. Languages e.g. Python, Google App Script
Junior level experience with databases (MS SQL, postgresQL)
Proficient computer skills, especially Microsoft Excel and Google Sheets
Experience with Google Docs / Word and or related tools
Excellent English reading and writing and strong comprehension abilities
Experience in CRE industry (nice to have, but can be trained)
“Soft” requirements:
High levels of agency or initiative / pro-activity
Demonstrated ability and passion for learning and up-skilling
Great concentration abilities, strong attention to detail, tenacious, meticulous and excellence-obsessed
Self-directed and able to work without supervision
Great time management skills
Great organisational skills - with a passion for efficiency and automation
There are three phases to this job:
Phase 1: Take responsibility for the entire process. This includes the un-glamorous, time-intensive role of importing data, reviewing and resolving CRE related queries, running data quality audit checks, reaching out to property funds and ensuring we keep to capturing timing and accuracy requirements. Assist in adhoc data “handsworker” projects (learning practically about our CRE and data domain).
Phase 2: Document the current processes and business rules. Identify opportunities to automate and systemise. Provide clear requirements and work with our engineering team to achieve this automation to reduce the management overhead in phase 1 by at least 75%
Phase 3: As a result of the domain IP and experience acquired, move on to other process automation projects, using the same process. Gain knowledge by practical application, document and systemise, hand over to the engineering team to automate, repeat.