FTS, Inc.
Data Analyst
Alexandria, District of Columbia, US
Role snapshot
FTS, Inc. is hiring a Data Analyst on a full-time basis. This is a role based in Alexandria, District of Columbia, US.
- Company
- FTS, Inc.
- Location
- Alexandria, District of Columbia, US
- Job type
- Full-time
- Experience
- 2–4 years
- Posted
- Nov 5, 2026
Who this role suits
People with roughly one to three years of experience who can own small pieces of work with light guidance and want to widen their scope.
How to prepare your application
- Prepare two or three stories about work you owned end to end, including one thing that went wrong and what you changed.
- Read what FTS, Inc. publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Key Responsibilities
- Build, test, and maintain data pipelines, databases, and data models.
- Develop and improve ETL/ELT processes to move and transform data between systems.
- Manage data cataloging activities using data.world, including metadata, documentation, data ownership, and governance.
- Create automated reports, datasets, and workflows to support business operations and decision-making.
- Work with internal teams to gather requirements and turn business needs into technical solutions.
- Monitor data accuracy, troubleshoot integration issues, and improve data quality.
- Build and maintain workflow automations using tools such as Zapier, Asana, and similar platforms.
- Use AI-assisted tools such as Microsoft Copilot and OpenAI Codex to support development, testing, documentation, and automation while following security guidelines.
- Partner with analysts, data scientists, and application teams to improve data accessibility and reporting.
- Maintain clear documentation of data processes, system integrations, technical solutions, and support procedures.
- Identify opportunities to improve existing systems and streamline manual processes.
- Test new reporting and automation solutions before implementing them for business users.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, Information Systems, or a related field. Equivalent experience will also be considered.
- 2–4 years of experience in data engineering, business intelligence, database administration, analytics, systems integration, or a similar role.
- Strong working knowledge of SQL, relational databases, and data modeling.
- Experience developing or maintaining ETL/ELT pipelines, data integrations, and automated workflows.
- Familiarity with data governance, metadata management, data documentation, and cataloging tools. Experience with data.world is preferred.
- Experience with reporting tools such as Power BI, Tableau, QuickSight, Salesforce reporting, or similar platforms.
- Ability to gather business requirements, document processes, and develop solutions based on stakeholder needs.
- Familiarity with using AI-assisted tools responsibly for coding, analysis, testing, and documentation.
- Strong communication, organization, customer service, and problem-solving skills.
- Ability to work independently, manage multiple projects, and collaborate with both technical and nontechnical teams.
Preferred Technical Experience
- Understanding of ETL/ELT processes, data transformation, orchestration, monitoring, and change data capture.
- Knowledge of database structures, indexing, schemas, query optimization, and data quality practices.
- Experience with cloud and database technologies such as AWS, Azure, SQL Server, S3, Glue, DynamoDB, RDS, or Redshift.
- Familiarity with Microsoft tools such as Fabric, Power BI, PowerPivot, Power Apps, Power Automate, Azure App Service, and Microsoft 365 Copilot.
- Experience with Salesforce platforms, including Sales Cloud, Experience Cloud, Nonprofit Success Pack, or Marketing Cloud.
- Experience creating workflow automations using Zapier, Asana, Power Automate, or similar tools.
- Familiarity with Git, CI/CD, APIs, testing, and deployment processes.
- Exposure to containerization, infrastructure-as-code, or application integrations.
- Understanding of responsible AI practices, including reviewing generated code, protecting sensitive information, and validating results.
- Previous experience supporting nonprofit or mission-driven organizations is a plus.