{"id":3401483,"url":"https://alion.io/job/lmi-data-analyst-2","title":"Data Analyst","company":{"id":721749,"name":"LMI","domain":"lmisolutions.com","url":"https://alion.io/company/lmisolutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":17,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":80000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-28T14:39:05Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T22:14:35Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview\nLMI 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.\nThe 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.\nThe 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.\nCandidates 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.\nLMI 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.\nLeveraging 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.\nResponsibilities\nSupport 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.\nUse SQL and Python as primary analytical tools to extract, query, join, clean, transform, validate, analyze, and automate data across multiple approved sources.\nBuild and maintain evaluation datasets, test cases, comparison analyses, and performance measures for AI/ML or generative AI capabilities under appropriate technical leadership.\nProfile enterprise, operational, workflow, program, survey, and AI-related data for availability, completeness, consistency, lineage, sensitivity, and fitness for intended use.\nPerform exploratory, descriptive, trend, cohort, segmentation, variance, before/after, and exception analysis appropriate to the decision need and available data.\nBuild analysis-ready datasets, analytical tables, visualizations, dashboards, and concise decision-support products for technical and non-technical audiences.\nTranslate stakeholder and AI-use-case questions into data requirements, metric definitions, filters, denominators, business rules, validation checks, and analytical outputs.\nSupport retrieval-augmented generation (RAG), AI search, or knowledge-based use cases by assessing source coverage, authoritative data, metadata, retrieval quality, and content gaps.\nReconcile discrepancies across source systems, AI outputs, reports, dashboards, or stakeholder calculations and determine the source and materiality of inconsistent results.\nAutomate repeatable data preparation, quality checks, calculations, evaluation routines, and reporting using reusable SQL and Python code where practical.\nPartner with AI, data science, and engineering resources when work requires advanced modeling, model development, pipelines, APIs, new integrations, or production deployment.\nPerform quality assurance and reasonableness checks before findings are released; escalate data, AI-output, or methodology concerns that could materially change conclusions.\nDocument sources, queries, Python code, transformations, assumptions, exclusions, evaluation logic, validation steps, and limitations so analytical work is reproducible and reviewable.\nFor Level IV assignments, lead higher-complexity AI-enabled analysis, conduct peer review, mentor analysts, and represent the analytical team in stakeholder and technical discussions.\nQualifications\nRequired:\nBachelor'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.\n5+ 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.\nStrong 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.\nDemonstrated 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.\nExperience preparing and validating multi-source data, including joins, transformations, duplicate handling, missing-data review, exception analysis, reconciliation, and source-to-output traceability.\nWorking knowledge of descriptive statistics, trends, distributions, baselines, comparisons, sampling concepts, and appropriate interpretation of observational and AI-assisted analysis.\nAbility 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.\nStrong data-quality judgment and ability to communicate definitions, assumptions, AI limitations, uncertainty, and analytical findings clearly to technical and non-technical audiences.\nExperience maintaining reproducible analytical work through documented SQL/Python code, data dictionaries, version control, peer review, testing, or comparable quality practices.\nRecommended 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.\nAbility to satisfy VA personnel vetting and applicable security, privacy, records-management, responsible-AI, and data-handling requirements.\nDesired:\n6+ years supporting enterprise, federal, healthcare, operational, program, or mission analytics; 8+ years is especially valuable for Level IV candidates.\nPrior VA, VHA, federal health, or other federal analytics experience in a large, governed enterprise environment.\nExperience with generative AI/LLMs, RAG, prompt/output evaluation, AI quality measurement, human-in-the-loop review, or analytics supporting AI-enabled workflow modernization.\nAdvanced experience with SQL Server, Python data libraries, Power BI, Microsoft Fabric, Databricks, Snowflake, Tableau, or comparable enterprise analytics technologies.\nExperience with APIs, semantic models, data warehouses/lakehouses, ETL/ELT outputs, vector/search data, governed datasets, or coordination with data engineering teams.\nExperience supporting pilot analysis, implementation measurement, program evaluation, benefits tracking, AI/ML evaluation, or operational performance measurement.\nAdditional 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.\nFor Level IV candidates, experience with peer review, mentoring, analytical standards, and independently shaping complex AI-enabled analyses is strongly preferred.\nTarget salary range: $80,000-$145,000\n 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.\nJob Locations\nUS-Remote","description_format":"text","description_chars":8851,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-28T14:39:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":17,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":145000,"is_top_pay":true},"html_url":"https://alion.io/job/lmi-data-analyst-2","json_url":"https://alion.io/job/lmi-data-analyst-2.json","meta":{"generated_at":"2026-10-31T22:46:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35509,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":721749},"rest":"https://alion.io/mcp/rest/get_company?id=721749"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flmi-data-analyst-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flmi-data-analyst-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flmi-data-analyst-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lmi-data-analyst-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmi-data-analyst-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3401483}},{"tool":"search_jobs","arguments":{"company":"lmisolutions.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3401483},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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