Data Analyst

LMI Consulting, LLC; United States; Remoto; USD 80.000 - 145.000; Tempo pieno

Descrizione del lavoro

LMI Consulting, LLC is seeking a Data Analyst to support VA modernization initiatives. This is a full-time, US-remote role focused on hands-on analytics across AI-enabled use cases, operational improvement, workflow modernization, performance measurement, and data quality assessment.

You will use SQL and Python daily to acquire, prepare, validate, analyze, and automate data workflows, while evaluating AI outputs and grounding issues to deliver reliable insights for stakeholders.

Competenze

• Bachelor's degree in data analytics, statistics, or a related quantitative field; equivalent experience may be considered.
• 5+ years of relevant data analysis, BI, performance analysis, or operational analytics experience. Level IV may need 7+ years.
• Strong hands-on SQL and Python skills; ability to independently write, troubleshoot, and validate queries and workflows.
• Demonstrated hands-on experience applying AI/ML or generative AI in analytics workflows and evaluating outputs.
• Experience preparing and validating multi-source data with joins, transformations, and data lineage.
• Working knowledge of descriptive statistics, trends, distributions, baselines, and proper interpretation.
• Ability to translate ambiguous questions into clear analytical requirements and adapt when data is limited.
• Strong data-quality judgment and the ability to communicate AI limitations, uncertainties, and findings.
• Experience maintaining reproducible analytical work with documented code and data dictionaries.
• Target salary range: $80,000-$145,000.

Mansioni

• Support AI-enabled analytics and modernization use cases by preparing data, defining measures, and evaluating outputs.
• Use SQL and Python as primary tools to extract, clean, transform, validate, and automate data across sources.
• Build and maintain evaluation datasets, test cases, and performance measures for AI capabilities under leadership.
• Profile enterprise and operational data for availability, completeness, lineage, and fit for use.
• Perform descriptive and exploratory analyses, cohort, segmentation, and variance analyses as needed.
• Develop analysis-ready datasets, tables, visualizations, dashboards, and decision-support products.
• Translate stakeholder questions into data requirements, metrics, filters, rules, and validation checks.
• Support RAG, AI search, or knowledge-based use cases by assessing data coverage and gaps.
• Reconcile discrepancies across sources, AI outputs, and reports; identify materiality of issues.
• Automate repeatable data prep, quality checks, calculations, and reporting with reusable code.
• Collaborate with AI, data science, and engineering for advanced modeling or production initiatives.
• Perform quality assurance and ensure findings are robust before release; document methods and limitations.

Conoscenze

SQL

Python

AI/ML experience

Data analysis

Data quality judgment

Formazione

Bachelor's degree

Equivalent experience

Strumenti

Power BI

SQL Server

Databricks

Snowflake

Tableau

Descrizione del lavoro

Data Analyst

US-Remote

Overview

LMI is seeking a Data Analyst to support Department of Veterans Affairs (VA) modernization initiatives. These full‑time positions provide hands‑on analytical capacity across AI‑enabled use cases, operational improvement, workflow modernization, performance measurement, reporting, data‑quality assessment, and decision support.

The Data Analysts will use SQL and Python as core day‑to‑day tools to acquire, prepare, validate, analyze, and automate data workflows. They will also support AI‑enabled analysis and solution evaluation by preparing evaluation datasets, assessing AI‑generated outputs, identifying data‑quality and grounding issues, measuring performance, and helping teams distinguish useful AI‑assisted insights from unsupported or unreliable results.

The role works closely with the Senior AI Lead, Data Science Lead, data integration, program evaluation, clinical informatics, delivery, and technical teams. These analysts are not expected to replace data scientists or AI engineers; they provide the scalable analytical execution, validation, and evidence needed to move multiple AI and modernization workstreams forward responsibly.

Candidates should independently execute well‑scoped analyses and recurring analytical products. Candidates should own more complex multi‑source and AI‑enabled analyses, shape analytical approaches, review work, and advise stakeholders. Strong candidates combine practical AI experience with strong SQL and Python skills, disciplined documentation, data‑quality judgment, and concise communication.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial‑grade platforms and mission‑ready AI to federal agencies at commercial speed.

Leveraging our mission‑ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

• Support AI‑enabled analytics and modernization use cases by preparing data, defining measures, evaluating outputs, and identifying data‑quality, grounding, accuracy, bias, or reliability issues that could affect decisions.
• Use SQL and Python as primary analytical tools to extract, query, join, clean, transform, validate, analyze, and automate data across multiple approved sources.
• Build and maintain evaluation datasets, test cases, comparison analyses, and performance measures for AI/ML or generative AI capabilities under appropriate technical leadership.
• Profile enterprise, operational, workflow, program, survey, and AI‑related data for availability, completeness, consistency, lineage, sensitivity, and fitness for intended use.
• Perform exploratory, descriptive, trend, cohort, segmentation, variance, before/after, and exception analysis appropriate to the decision need and available data.
• Build analysis‑ready datasets, analytical tables, visualizations, dashboards, and concise decision‑support products for technical and non‑technical audiences.
• Translate stakeholder and AI‑use‑case questions into data requirements, metric definitions, filters, denominators, business rules, validation checks, and analytical outputs.
• Support retrieval‑augmented generation (RAG), AI search, or knowledge‑based use cases by assessing source coverage, authoritative data, metadata, retrieval quality, and content gaps.
• Reconcile discrepancies across source systems, AI outputs, reports, dashboards, or stakeholder calculations and determine the source and materiality of inconsistent results.
• Automate repeatable data preparation, quality checks, calculations, evaluation routines, and reporting using reusable SQL and Python code where practical.
• Partner with AI, data science, and engineering resources when work requires advanced modeling, model development, pipelines, APIs, new integrations, or production deployment.
• Perform quality assurance and reasonableness checks before findings are released; escape data, AI‑output, or methodology concerns that could materially change conclusions.
• Document sources, queries, Python code, transformations, assumptions, exclusions, evaluation logic, validation steps, and limitations so analytical work is reproducible and reviewable.
• For Level IV assignments, lead higher‑complexity AI‑enabled analysis, conduct peer review, mentor analysts, and represent the analytical team in stakeholder and technical discussions.

Qualifications

Required:

• 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 be considered.
• 5+ years of relevant data analysis, business intelligence, performance analysis, reporting, or operational analytics experience. Level IV placement will generally require 7+ years plus independent ownership of complex analysis.
• Strong hands‑on SQL and Python skills are required. Candidates must be able to independently write, troubleshoot, and validate SQL queries and Python‑based analytical workflows rather than relying primarily on no‑code tools.
• Demonstrated hands‑on experience applying AI/ML or generative AI in analytical workflows is required, including experience evaluating AI‑generated outputs, preparing evaluation data, measuring performance, or assessing data and evidence supporting AI‑enabled solutions.
• Experience preparing and validating multi‑source data, including joins, transformations, duplicate handling, missing‑data review, exception analysis, reconciliation, and source‑to‑output traceability.
• Working knowledge of descriptive statistics, trends, distributions, baselines, comparisons, sampling concepts, and appropriate interpretation of observational and AI‑assisted analysis.
• Ability to translate ambiguous stakeholder or AI‑use‑case questions into clear analytical requirements and adjust the approach when available data cannot support the requested conclusion.
• Strong data‑quality judgment and ability to communicate definitions, assumptions, AI limitations, uncertainty, and analytical findings clearly to technical and non‑technical audiences.
• Experience maintaining reproducible analytical work through documented SQL/Python code, data dictionaries, version control, peer review, testing, or comparable quality practices.
• Recommended certification: Microsoft Power BI Data Analyst, Microsoft Azure AI Fundamentals/AI Engineer, Databricks Data Analyst or Generative AI credential, Tableau Certified Data Analyst, or a comparable analytics/AI credential.
• Ability to satisfy VA personnel vetting and applicable security, privacy, records‑management, responsible‑AI, and data‑handling requirements.

Desired:

• 6+ years supporting enterprise, federal, healthcare, operational, program, or mission analytics; 8+ years is especially valuable for Level IV candidates.
• Prior VA, VHA, federal health, or other federal analytics experience in a large, governed enterprise environment.
• Experience with generative AI/LLMs, RAG, prompt/output evaluation, AI quality measurement, human‑in‑the‑loop review, or analytics supporting AI‑enabled workflow modernization.
• Advanced experience with SQL Server, Python data libraries, Power BI, Microsoft Fabric, Databricks, Snowflake, Tableau, or comparable enterprise analytics technologies.
• Experience with APIs, semantic models, data warehouses/lakehouses, ETL/ELT outputs, vector/search data, governed datasets, or coordination with data engineering teams.
• Experience supporting pilot analysis, implementation measurement, program evaluation, benefits tracking, AI/ML evaluation, or operational performance measurement.
• Additional certification or training in AI/ML, generative AI, cloud analytics, Databricks, Fabric, SQL/data engineering, statistics, Power BI, Tableau, or Lean Six Sigma is preferred.
• For Level IV candidates, experience with peer review, mentoring, analytical standards, and independently shaping complex AI‑enabled analyses is strongly preferred.

Target salary range: $80,000-$145,000

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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