
51 - 200 employees
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Integrity Management Services, Inc. is a women-owned, women-run company specializing in helping government and commercial enterprises minimize the risk of improper payments, fraud, waste, and abuse. The company provides a range of services including data analytics, fraud investigations, compliance reviews, audits, grants management, staff augmentation, and coding and medical reviews. IntegrityM, as they are known, works closely with Federal Government agencies, state agencies, and private sector organizations to drive informed decisions and enhance program transparency and oversight. The company is recognized for its contributions to the community and has been awarded for excellence in government contracting and corporate social responsibility.
🔥 13 hours ago
⚔️ Virginia – Remote
💵 $55k - $85k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
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51 - 200 employees
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Integrity Management Services, Inc. is a women-owned, women-run company specializing in helping government and commercial enterprises minimize the risk of improper payments, fraud, waste, and abuse. The company provides a range of services including data analytics, fraud investigations, compliance reviews, audits, grants management, staff augmentation, and coding and medical reviews. IntegrityM, as they are known, works closely with Federal Government agencies, state agencies, and private sector organizations to drive informed decisions and enhance program transparency and oversight. The company is recognized for its contributions to the community and has been awarded for excellence in government contracting and corporate social responsibility.
• Provide analytical data support through data extraction, transformation, and analysis using Python, SQL, and other statistical and data engineering tools. • Design, develop, maintain, and optimize ETL processes supporting data integration, validation, reporting, and analytics. • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling. • Build and apply analytical models and data solutions using Python, Snowflake, Databricks, R, SQL, and SAS. • Research industry best practices and contribute to data-driven solutions and actionable recommendations. • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms. • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance to ensure analytical dataset accuracy and integrity. • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products. • Interpret business data and translate findings into clear insights for technical and non-technical stakeholders. • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions. • Participate in team projects and brainstorming sessions evaluating methodologies and study designs. • Communicate analytical methods and results clearly to technical teams and end users. • Maintain strict confidentiality and security of sensitive and business-confidential information. • Ensure compliance with applicable privacy and security training requirements.
• Minimum of a Bachelor’s Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework. • At least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions. • Strong proficiency in Python, R, SQL, and SAS. • Experience with cloud-based data platforms such as Snowflake and Databricks. • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms. • Strong SQL proficiency, including complex queries, joins, views, and stored procedures; data validation and performance optimization; and support for data warehousing, reporting, and analytics initiatives. • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment. • Ability to communicate effectively in writing and orally, conveying results in concise, non-technical language to varied audiences. • Ability to work collaboratively with team members and on multiple tasks concurrently. • Ability to make good judgments and decisions independently without a high degree of supervision. • Detail-oriented and able to work under deadlines. • Ability to take initiative, maintain confidentiality, meet deadlines, and work in a team environment. • Ability to report work activity on a timely basis. • Ability to multitask and prioritize assignments while meeting deadlines. • Must pass post-hire background screening checks. • For remote work, required to have wired and/or wireless internet access. • Ability to obtain security clearance, if required by Client/Contract.
• Vacation • Sick leave • Paid holidays • Health insurance • Dental insurance • Vision insurance • Short- and long-term disability • Life insurance • Employee assistance plan • 401(K) retirement plan • Educational benefits
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