Data Analyst II

🔥 2 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $55k - $75k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Integrity Management Services, Inc.

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, develop, maintain, and optimize ETL processes for data integration, validation, reporting, and analytics. • Conduct business analysis using statistical techniques, data mining, and explanatory or predictive modeling. • Build analytical models and data solutions using Python, Snowflake, Databricks, R, SQL, and SAS. • Research industry best practices and develop actionable recommendations for business operations. • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines. • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance. • Design, develop, and support Snowflake data pipelines using Streams, Tasks, Time Travel, Snowsight Notebooks, and Streamlit applications. • Monitor and resolve production data issues, perform root cause analysis, and implement corrective actions. • Develop automated data ingestion, validation, auditing, and reconciliation processes. • Support CI/CD deployment, release management, and process automation. • Collaborate with cloud engineering teams on AWS solutions using S3, Glue, and Airflow. • Gather analytical requirements from internal and external clients and deliver ad hoc reports and data products. • Translate business data into clear insights for technical and non-technical stakeholders. • Collaborate with business users, data engineers, and technical stakeholders to implement scalable data solutions. • Participate in team projects and brainstorming sessions supporting program goals. • Communicate analytical methods and results clearly.

🎯 Requirements

• Minimum of a Bachelor’s Degree or a related discipline, or in another relevant field in health-related, scientific, public policy, business, data science, statistics, or a scientific discipline with extensive quantitative methods/statistical coursework. • At least 3 years of relevant experience in data analytics, SQL development, ETL/ELT processes, reporting, business intelligence, data engineering, or related data management functions. • Strong proficiency in Python, R, SQL, and SAS. • Hands-on experience developing solutions within Snowflake environments, including Snowsight Notebooks, Streamlit applications, data pipelines, and cloud-based data engineering workflows. • 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. • Experience with Snowflake Streams, Tasks, Time Travel, Snowsight Notebooks, and Streamlit application development. • Experience supporting production environments, resolving data incidents, and performing root cause analysis. • Strong understanding of data warehousing concepts, large-scale data processing, and dimensional data modeling. • Experience utilizing AWS services such as S3, Glue, Airflow, or similar cloud-based data engineering tools. • Knowledge of CI/CD processes, source control, release management, automated deployments, and process automation. • Experience implementing data governance, monitoring, auditing, and data quality controls. • Experience with healthcare or Medicaid claims data is highly preferred. • Experience with AI/ML tools, frameworks, or model deployment is preferred. • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment. • 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. • Ability to communicate effectively in writing and orally to a variety of audiences. • Ability to work collaboratively, independently, manage multiple tasks, prioritize assignments, maintain confidentiality, and meet deadlines.

🏖️ Benefits

• 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 • Remote work