GIS Insights Analyst

liver insights and analysis.

Job responsibilities may include:

• Owns full lifecycle of applications, data integrations, and spatial analysis.

• Lead end to end analytics using data blending, transformations, and critical evaluation data through descriptive, diagnostic, and select predictive methods relying on CFA's established analytics tooling stack.

• Manage larger data sets that in the past so examples of these include customer movement data set which includes trillions of records, worldwide demographic variables comprising nearly 30k variables,
  3rd party delivery receipt data which has millions of records every month, cadastral (Parcel) data for the US which is updated monthly.

• Analyst will need to be comfortable working with larger datasets as initiatives like market ecosystems continue to develop.

• Show a strong interdependence across other departments to address end user requests and projects.

• Lead end to end ownership of application development and analysis.

• Responsible for applying appropriate spatial analysis techniques, technology, and data to address end user requests. Examples of these include, development of tools, server/mobile/client-side development, spatial analysis techniques and communication of changes to all associated parties.

• Serve as primary lead of requests from the groups that they manage.

• Serve as liaisons to several departments across the business and are tasked with maintaining any applications or analysis that directly aids those departments. This means that they must also be incorporated with those departments' key initiatives in addition to Restaurant Development initiatives and CFA big moves.

• Manage their respective user groups across multiple platforms to drive engagement, communicate outages or changes, and illicit feedback to drive development of our applications.

• Have strong working relationships across multiple departments to solve complex analytical problems.

Minimum Qualifications

• Bachelors Degree

• Experience working with ESRI

• Experience producing scalable and repeatable analytic processes

• Proficient with data preparation and blending

• Strong applied knowledge of base statistical concepts

Preferred Qualifications

• 8 years of work experience

• Masters Degree

• Proficient with data preparation and blending using Alteryx, Python, R or other ETL platforms or languages

• Experience working inside Agile technology environment

• Experience using JIRA for project management

• Experience working with GitHub such as version control or code collaboration

• Expertise in Tableau, ThoughtSpot or similar data visualization tool

• Experience with Databricks

• Excellent SQL programming skills

• Demonstrated experience building predictive or prescriptive analytics solutions

• Demonstrated ability to partner with leaders at multiple levels using strong written and verbal communication

• Comfort and ability to ask questions and seek assistance when necessary

Minimum Years of Experience

5

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Master's Degree

Major/Concentration

Business, Statistics, Analytics or Mathematics related fields