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LMI · 3 weeks ago

Data Analyst

United States

Full-time

Remote

Entry, Mid Level

$55K/yr - $86K/yr

2+ years exp

LMI is a digital solutions provider focused on enhancing government impact through innovation. The Data Analyst will support the evaluation of mental health care and suicide prevention programs for the Department of Veterans Affairs by performing data analysis, ensuring data quality, and assisting in the preparation of evaluation reports.

AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Utilize and manage diverse data sets provided by VA’s Office of Mental Health (OMH) and Office of Suicide Prevention (OSP), including Veterans Outcome Assessment (VOA), satisfaction surveys, clinical templates, Northeastern Program Evaluation Center (NEPEC) collected data, and performance measures to answer program evaluation and assessment questions

Implement data cleansing and manipulation to ensure data quality and integrity

Conduct statistical analyses and generate analytical data sets as per project requirements

Run tests to validate the quality, integrity, and statistical validity of data sets

Maintain and update databases, ensuring data is stored securely and is easily accessible for analysis

Assist in the development and execution of data analysis methodologies under the guidance of the Lead Quantitative Social Scientist

Support the independent evaluation of mental health care and suicide prevention programs to measure effectiveness, cost-effectiveness, and patient satisfaction

Perform comparative analyses to determine program effectiveness across various veteran cohorts, sub-groups, and service gaps

Identify trends, patterns, and correlations within the data to evaluate program performance

Assist in the preparation of annual evaluation reports and Congressionally Mandated Reports (CMR)

Document and organize SAS/SQL/R/Python codes used for data analysis and report generation

Prepare data-driven reports, visualizations, and presentations to convey analytical findings clearly

Use tools like Tableau, Power BI, or custom scripts to visualize data in a way that is easy to understand for stakeholders

Communicate any data inaccuracies or deficiencies to the Lead Quantitative Social Scientist and assist in proposing solutions

Collaborate with VA program leads, stakeholders, and external partners for data acquisition and methodology review

Participate in discovery phase activities, including data collection, stakeholder interviews, and transition meetings

Ensure that all analytical work complies with rigorous research standards

Support the Lead Quantitative Social Scientist in ensuring that deliverables are accurate, comprehensive, and submitted on time

Qualification

Data AnalysisStatistical AnalysisSASSQLRPythonData VisualizationTableauPower BIData CleansingMachine LearningProblem-SolvingCommunication SkillsAttention to DetailCollaboration

Required

Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field

At least 2-3 years of experience in data analysis, data management, data mining, machine learning, and statistical methodologies

Proficiency in statistical analysis software and programming languages such as SAS, SQL, R, and Python. Experience with developing queries for routine data requests and reports

Experience with data visualization tools and techniques such as Tableau, Power BI, or similar for creating reports and dashboards

Strong understanding of data quality assurance and data cleansing processes

Expertise in building and cleaning databases from multiple data sources, combining cost and performance information

Demonstrated ability to pay close attention to detail and ensure high levels of data accuracy

Excellent problem-solving skills with attention to detail

Strong written and verbal communication skills to effectively convey complex data insights to diverse audiences

Ability to work independently as needed

Ability to collaborate with the integrated project team to compile, collate, integrate, and transform large sets of data into simplified, meaningful, and actionable trends and visualizations for non-technical stakeholders

Ability to manage multiple tasks and meet deadlines effectively

Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications. Please note that only U.S. citizens are eligible for a suitability determination