Data Analyst

SoTalent; United States; On-site; USD 80,000 - 145,000; Full time

Job summary

Sotalent is seeking an experienced data analyst to support federal healthcare modernization initiatives, including AI-enabled analytics, workflow improvement, performance measurement and decision support.

The role combines hands-on SQL and Python analysis with AI output evaluation, data-quality assessment, reporting and automation. Analysts will work with data science, AI, engineering and programme teams to produce reliable, reproducible insights that support operational and strategic decisions.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 5+ years of data analysis, BI, reporting or analytics experience.
• Strong hands-on SQL and Python skills.
• Experience applying AI/ML or generative AI in analytical workflows.
• Experience preparing, validating and reconciling multi-source datasets.
• Knowledge of descriptive statistics, trends and sampling.
• Ability to translate ambiguous business questions into analytical requirements.
• Strong data-quality judgement, communication and documentation skills.
• Experience with vetting, privacy and data-handling requirements for federal contexts.

Responsibilities

• Extract, clean, transform, validate and analyse data using SQL and Python.
• Evaluate AI outputs for accuracy, bias and evidence quality.
• Develop evaluation datasets, test cases and performance measures.
• Profile and reconcile data across multiple sources.
• Conduct trend, cohort, segmentation and variance analyses.
• Build datasets, dashboards, visualisations and reports for decision support.
• Translate stakeholder questions into measurable analytical outputs.
• Support RAG and AI-enabled knowledge use cases.
• Automate recurring data preparation, quality checks and reporting workflows.
• Document code, data sources and validation methods.
• Collaborate with AI, data science and engineering teams on advanced modelling.
• At Level IV, lead complex analyses, review work, mentor analysts and advise stakeholders.

Skills

SQL

Python

AI in analytics

Data quality

Documentation

Stakeholder mgmt

Education

Bachelor's degree

Equivalent experience

Tools

Power BI

SQL Server

Python libraries

Microsoft Fabric

Databricks

Snowflake

Tableau

Job description

An opportunity for an experienced data analyst to support federal healthcare modernisation initiatives, including AI-enabled analytics, workflow improvement, performance measurement and decision support.

The role combines hands-on SQL and Python analysis with AI output evaluation, data-quality assessment, reporting and automation. Analysts will work with data science, AI, engineering and programme teams to produce reliable, reproducible insights that support operational and strategic decisions.

Key Responsibilities

• Extract, clean, transform, validate and analyse data using SQL and Python.
• Evaluate AI and generative AI outputs for accuracy, reliability, bias and evidence quality.
• Develop evaluation datasets, test cases, performance measures and comparison analyses.
• Profile and reconcile data across multiple enterprise and operational sources.
• Conduct trend, cohort, segmentation, variance and before-and-after analyses.
• Build analytical datasets, dashboards, visualisations and decision-support reports.
• Translate stakeholder questions into measurable analytical requirements and clear outputs.
• Support retrieval-augmented generation (RAG), AI search and knowledge-based use cases.
• Automate recurring data preparation, quality checks and reporting workflows.
• Document code, data sources, assumptions, validation methods and limitations.
• Collaborate with AI, data science and engineering teams on advanced modelling and integrations.
• At Level IV, lead complex analyses, review work, mentor analysts and advise stakeholders.

Required Qualifications

• Bachelor's degree in a quantitative or related field, or equivalent experience.
• At least 5 years of relevant data analysis, business intelligence, reporting or operational analytics experience.
• Strong hands-on SQL and Python skills.
• Practical experience applying AI/ML or generative AI in analytical workflows, including output evaluation or performance measurement.
• Experience preparing, validating and reconciling multi-source datasets.
• Working knowledge of descriptive statistics, trends, baselines, comparisons and sampling.
• Ability to translate ambiguous business questions into analytical requirements.
• Strong data-quality judgement, communication and documentation skills.
• Experience producing reproducible analytical work through documented code, testing, version control or comparable quality practices.
• Ability to meet applicable federal healthcare personnel vetting, security, privacy and data-handling requirements.

Preferred Qualifications

• 6+ years of enterprise, federal, healthcare or operational analytics experience.
• Experience supporting the Department of Veterans Affairs, Veterans Health Administration or other federal programmes.
• Familiarity with LLMs, RAG, AI evaluation, human-in-the-loop review or AI-enabled workflow modernisation.
• Experience with Power BI, SQL Server, Python data libraries, Microsoft Fabric, Databricks, Snowflake or Tableau.
• Knowledge of APIs, data warehouses, ETL/ELT processes and governed datasets.
• Relevant analytics, AI/ML, cloud or data certifications.

Level IV: Generally requires 7+ years of experience, independent ownership of complex analyses, and the ability to mentor colleagues and conduct peer reviews.

Compensation

The advertised salary range is $80,000–$145,000 annually. Actual compensation depends on factors including location, experience, qualifications, internal equity and contract requirements.