Senior Data Analyst (Databricks) - Remote USA

ICF•Reston, VA

1d•$74,090 - $125,954•Remote

About The Position

This role is contingent upon a contract award. At ICF, we combine deep domain expertise with leading-edge technology to help our clients solve their most complex challenges. We are seeking a Senior Data Analyst (Databricks) to join our growing team, supporting mission-driven data and analytics modernization programs that deliver measurable impact. As a Senior Data Analyst (Databricks), you will bring strong expertise in data analytics, SQL-based analysis, data validation, and Databricks workflows. You will also support the validation of user workflows, system functionality, usability, and release readiness through structured user acceptance testing and collaboration with business, technical, product, and QA stakeholders. You will help ensure that modern data platforms, analytic outputs, dashboards, and user workflows are accurate, usable, accessible, and aligned with mission needs.

Requirements

Bachelor’s Degree
5+ years of experience as a Data Analyst, Systems Analyst, Quality Analyst, Business Analyst, or related role supporting enterprise data, analytics, reporting, or system validation efforts.
U.S. Citizenship required due to federal contract requirements.
Ability to obtain and maintain a federal public trust clearance or equivalent client-required background investigation.
Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

Nice To Haves

3+ years of hands-on SQL experience, including writing complex queries for data analysis, validation, reconciliation, troubleshooting, and testing.
1+ years of hands-on experience with Databricks or a comparable modern cloud data platform supporting analytics, data validation, data engineering, reporting, or testing workflows.
1+ years of experience validating enterprise system functionality, data outputs, dashboards, reports, workflows, or acceptance criteria in collaboration with business, technical, QA, or product stakeholders.
Experience developing and executing UAT plans, test cases, acceptance criteria, traceability matrices, defect logs, and results reports for enterprise systems.
Experience supporting usability testing, workflow analysis, user research, surveys, user feedback analysis, or other methods used to evaluate whether systems meet real-world user needs.
Experience supporting federal data modernization, emergency management, disaster response, public sector analytics, or other mission-driven IT programs.
Experience applying data validation practices in production analytics, reporting, dashboarding, or cloud data platform environments.
Experience with analytical, reporting, and visualization software packages (such as QuickSight, Power BI, Tableau and ArcGIS, or similar software).
Experience supporting data governance, metadata management, data catalogs, role-based access control, data sharing, or federated data stewardship models.
Experience working with tools such as Jira, Confluence, GitHub, GitLab, or similar collaboration and delivery tools.
Experience working in Agile delivery environments, including backlog refinement, sprint planning, sprint reviews, demos, retrospectives, release readiness, or SAFe ceremonies.
Strong technical writing skills, including the ability to document testing outcomes, data validation results, user feedback, risks, issues, and recommendations for technical and non-technical audiences.
Ability to work effectively across multiple teams and workstreams with strong time management, organizational, facilitation, and communication skills.
Highly effective analytical, problem-solving, and decision-making capabilities.
Excellent communication and interpersonal skills to interface effectively at all levels of the business.
Ability to self-organize, prioritize and conduct research on multiple projects under tight deadlines in a fast-paced environment.
Ability to communicate complex data, testing, and usability findings clearly to technical and non-technical audiences.

Responsibilities

Perform hands-on data analysis, profiling, reconciliation, and validation using Databricks, SQL, and modern analytics workflows.
Validate data quality, data integrity, data transformations, business rules, reports, dashboards, and analytic outputs against requirements and acceptance criteria.
Develop and execute SQL-based test queries to support data validation, defect investigation, regression testing, and user acceptance testing.
Lead the design, implementation, and governance of a robust UAT framework, including UAT plans, test scenarios, test cases, acceptance criteria, traceability matrices, issue logs, readiness assessments, and results reporting.
Coordinate and facilitate UAT sessions with representative users to validate real-world workflows, system functionality, usability, and readiness for release.
Support usability testing by evaluating workflow effectiveness, query performance, dashboard usability, self-service capabilities, accessibility considerations, and critical end-to-end user journeys.
Partner with product owners, business stakeholders, data engineers, QA/test teams, UX/CX specialists, developers, and client leadership to translate testing outcomes and user feedback into actionable backlog items.
Document and communicate data quality issues, usability concerns, defects, risks, and recommendations in clear, client-ready formats for technical and non-technical audiences.
Support Agile delivery by contributing to enhanced and improved user story development to align with stakeholder feedback. This include backlog refinement, sprint planning, sprint reviews, demos, retrospectives, and continuous improvement activities.
Maintain requirements, testing artifacts, and traceability in tools such as Jira and Confluence from requirements through test execution, validation, and resolution.