Data Analyst

ATLANTA MISSION•Atlanta, GA

5d•$60,000 - $65,000•Onsite

About The Position

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across Development, Volunteer Services, Marketing, Human Resources, Operations, Finance, as well as Client Services. By transforming data into actionable insights, your work directly contributes to growing our reach, deepening engagement, measuring our impact, and serving our community with greater effectiveness and faithful stewardship.

Requirements

Strong proficiency in Microsoft Excel.
Experience with data analysis and visualization tools (e.g., Salesforce reports/dashboards, Tableau, Power BI) preferred.
Proficiency or demonstrated ability to quickly learn SQL for database querying.
Experience with Salesforce required, including comfort with basic administration tasks such as field creation/updates and user account management; experience with other CRM or donor management systems (e.g., Raiser’s Edge) is a plus.
Familiarity with statistical analysis concepts; experience with Python or R is a plus.
Familiarity with project management software (e.g., Asana, Airtable, Monday, Smartsheet) is a plus.
Excellent analytical, critical thinking, and problem-solving abilities.
A keen eye for detail and commitment to data accuracy.
Ability to translate complex data into clear, actionable insights.
Strong communication skills (written and verbal) to present findings to both technical and non-technical audiences.
Ability to collaborate effectively with cross-functional teams.
Proven ability to manage multiple projects, prioritize tasks, and meet deadlines independently.
Passion for using data to support meaningful work in a nonprofit environment and advance Atlanta Mission's goals.
Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience is often preferred.

Nice To Haves

Experience with Salesforce reports/dashboards, Tableau, Power BI
SQL proficiency
Experience with other CRM or donor management systems (e.g., Raiser’s Edge)
Experience with Python or R
Familiarity with project management software (e.g., Asana, Airtable, Monday, Smartsheet)

Responsibilities

Collect, clean, analyze, and interpret data related to donor and volunteer engagement, retention, NPS scores, surveys, marketing campaign performance, fundraising activities, and operational metrics to drive strategic planning.
Develop and maintain reports, dashboards, and visualizations (using tools like Salesforce and Tableau) to communicate trends, performance against KPIs, and insights to various stakeholders clearly and effectively.
Create basic reports, such as caseload and capacity reports, and build dashboards for Client Services to track service deliveries and program performance.
Conduct regular audits, data quality checks, and reviews to ensure accuracy, consistency, and integrity across development, business, and CRM (Salesforce) systems.
Support and manage ongoing data needs, including mailing list creation, data segmentation, event invitation lists, and database queries (Salesforce and SQL proficiency desirable). Serve as a support resource for internal users of data systems.
Perform field creation and updates in Salesforce for Development, Volunteer Services, and Client Services, and create and manage user accounts as needed.
Partner with internal teams (Marketing, Development, Volunteer, HR, Client Services, etc.) and external vendors to support data needs for direct mail, telemarketing, digital marketing, and other initiatives.
Proactively identify trends, patterns, and opportunities within external/organizational data, providing actionable insights and recommendations to inform future strategy and optimize resource allocation.
Serve as a primary point of contact for data systems support, assisting internal users with troubleshooting and data-related questions, while also providing training on data best practices and tools to foster data literacy across the organization.
Identify opportunities to enhance efficiency by streamlining data collection, analysis, and reporting workflows, potentially leveraging automation tools and techniques.