Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in AI-driven analytics and modernization initiatives by preparing data, defining metrics, evaluating outputs, and pinpointing issues related to data quality, grounding, accuracy, bias, or reliability.

• Utilize SQL and Python to extract, query, join, clean, transform, validate, analyze, and automate data from authorized sources.

• Develop and sustain evaluation datasets, test cases, comparative analyses, and performance metrics for AI/ML or generative AI features.

• Assess enterprise, operational, workflow, program, survey, and AI-related data for aspects such as availability, completeness, consistency, lineage, sensitivity, and suitability for intended use.

• Conduct various analyses including exploratory, descriptive, trend, cohort, segmentation, variance, before/after, and exception analysis.

• Create analysis-ready datasets, analytical tables, visualizations, dashboards, and decision-support tools.

• Convert stakeholder inquiries and AI use-case questions into data requirements, metric definitions, filters, denominators, business rules, validation checks, and analytical outputs.

• Aid in RAG, AI search, or knowledge-based cases by evaluating source coverage, authoritative data, metadata, retrieval quality, and content deficiencies.

• Resolve discrepancies among source systems, AI outputs, reports, dashboards, or stakeholder calculations.

• Automate repetitive data preparation, quality checks, calculations, evaluation routines, and reporting with reusable SQL and Python code.

• Collaborate with AI, data science, and engineering teams on advanced modeling, pipelines, APIs, integrations, and production deployment.

• Execute quality assurance and reasonableness checks; escalate any concerns regarding data, AI outputs, or methodologies.

• Document sources, queries, Python code, transformations, assumptions, exclusions, evaluation logic, validation steps, and limitations.

• For Level IV positions, lead complex AI-enabled analyses, conduct peer reviews, mentor analysts, and represent the analytical team in discussions with stakeholders and technical teams.

⛳️ Requirements

• A bachelor's degree in data analytics, statistics, mathematics, economics, operations research, computer science, information systems, public health, engineering, or a related quantitative field; equivalent experience may also be considered.

• Over 5 years of relevant experience in data analysis, business intelligence, performance analysis, reporting, or operational analytics.

• Level IV candidates typically require 7 or more years of experience, along with independent ownership of complex analyses.

• Proficient in SQL and Python with strong hands-on skills.

• Practical experience with AI/ML or generative AI in analytical workflows, including the evaluation of AI-generated outputs, preparation of evaluation data, performance measurement, or analysis of data and evidence supporting AI-driven solutions.

• Experience in preparing and validating multi-source data, incorporating joins, transformations, handling duplicates, reviewing missing data, performing exception analysis, reconciliation, and ensuring source-to-output traceability.

• Familiarity with descriptive statistics, trends, distributions, baselines, comparisons, sampling concepts, and interpreting observational and AI-assisted analyses.

• Capability to translate vague stakeholder or AI use-case questions into precise analytical requirements.

• Strong judgment regarding data quality and the ability to clearly communicate definitions, assumptions, AI limitations, uncertainty, and analytical findings.

• Experience in maintaining reproducible analytical work through documented SQL/Python code, data dictionaries, version control, peer reviews, testing, or similar quality practices.

• Ability to meet VA personnel vetting and comply with relevant security, privacy, records management, responsible AI, and data handling requirements.

• Recommended certifications include Microsoft Power BI Data Analyst, Microsoft Azure AI Fundamentals/AI Engineer, Databricks Data Analyst or Generative AI credential, Tableau Certified Data Analyst, or other comparable analytics/AI credentials.

• Desired: Over 6 years of support in enterprise, federal, healthcare, operational, program, or mission analytics; 8+ years are especially advantageous for Level IV candidates.

• Desired: Previous experience in VA, VHA, federal health, or other federal analytics roles within a large governed enterprise setting.

• Desired: Familiarity with generative AI/LLMs, RAG, prompt/output evaluation, AI quality assessment, human-in-the-loop review, or analytics that support AI-enabled workflow modernization.

• Desired: Advanced skills in SQL Server, Python data libraries, Power BI, Microsoft Fabric, Databricks, Snowflake, Tableau, or similar enterprise analytics technologies.

• Desired: Experience with APIs, semantic models, data warehouses/lakehouses, ETL/ELT outputs, vector/search data, governed datasets, or collaboration with data engineering teams.

• Desired: Background in supporting pilot analyses, implementation measurements, program evaluations, benefits tracking, AI/ML assessments, or operational performance evaluations.

• Desired: Additional certification or training in AI/ML, generative AI, cloud analytics, Databricks, Fabric, SQL/data engineering, statistics, Power BI, Tableau, or Lean Six Sigma.

• For Level IV candidates, experience in peer review, mentoring, analytical standards, and independently shaping complex AI-enabled analyses is strongly preferred.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with employer match.

• Generous paid time off and holidays.

• Professional development opportunities.

• Flexible work arrangements.