Data Analyst (GIS)

About the Role

Key Responsibilities

• Work within functional lanes to enhance the collection and analysis of program data.
• Update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments.
• Assist in identifying performance outcomes and indicators.
• Identify uniform data points and conduct high-level data interpretation/exploratory data analysis using a data analytics platform.
• Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership.
• Oversee the quality and the production of both routine and ad hoc analytical reports.
• Assist in the training of contractor and field staff on the use of data collection and analysis tools.
• Support with projects that promote the continual improvement of data analysis.
• Compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau.
• Build data repositories/databases and provide ad-hoc data reporting as needed.

Requirements

• Bachelor's degree in data science, data analytics, or similar degree with at least 8 years of experience conducting quantitative and qualitative data interpretation and analysis.
• High degree of familiarity working with sensitive-PII and integrity in protecting customer data.
• Working knowledge of data visualization platforms (Tableau or Power BI) and scripting languages (R, Python).
• Working knowledge of SQL and familiarity with relational databases.
• Advanced skills in Excel and VBA.
• Exceptional analytical skills.
• Strong written and verbal communication skills as well as strong attention to detail.
• The ability to obtain a Public Trust.

Nice to Have

• Experience or specialties in ArcGIS and/or QGIS.
• Use of APIs to batch geocode locations.
• Formulating interactive and non-interactive maps.
• Experience with quantitative and qualitative data analysis.
• Data engineering and experience working with large datasets, performing tasks such as data cleaning and processing (ETL).
• Solid knowledge of SQL including CTE's.
• Python and/or R.
• Tableau.
• Palantir Foundry.

Qualifications

• Bachelor's degree in data science, data analytics, or similar field.
• At least 8 years of related experience.
• Experience working with sensitive-PII data.

Benefits & Perks

• Medical plan options, some with Health Savings Accounts.
• Dental and vision plan options.
• 401(k) plan with company match.
• Paid time off including vacation, sick, personal, holidays, parental, military, bereavement, and jury duty leave.
• Disability benefits, life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
• Flexible work weeks where possible.