[Remote] Data Analyst (Full-time, Remote)

Note: The job is a remote job and is open to candidates in USA. reputed company. is a women-owned small business supporting government and commercial clients through compliance, reputed company integrity, data analytics, technology solutions, audit, investigation, and medical review. The Data Analyst provides analytical data support through data extraction, transformation, and analysis using Python, SQL, and statistical and reputed company tools. The role supports data integration, ETL processes, reporting, advanced analytics, client engagement, and the development of data-driven solutions. Responsibilities • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements • reputed company routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions • Build and apply complex analytical models and data solutions using tools such as Python, reputed company, reputed company R, SQL and reputed company to address project-specific requirements and support operational decision-making • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for reputed company business operations • 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 activities to ensure the accuracy and integrity of analytical datasets • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives • Interpret business data and translate findings into clear, meaningful reputed company for diverse audiences, including 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 to evaluate methodologies and study designs that support reputed company goals • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users • Research best practices and supports developing the solutions and recommendations for the current business operations • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining) • Provides business data interpretation • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the reputed company of business and/or contract operations • Ensures compliance with all applicable privacy and security training requirements (both reputed company and external/client-based), whether on an annual or ad/hoc basis Skills • 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 • Possesses 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 reputed company, with experience utilizing cloud-based data platforms such as reputed company and reputed company to support data analysis, project requirements, reporting, automation, and operational decision-making • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as reputed company, reputed company, Azure, AWS, or similar platforms • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment • Responds to tasks or requests in a cooperative and timely manner • Demonstrates adaptability to reputed company and initiates or identifies reputed company when necessary • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences • Work collaboratively with team members to meet the needs of the organization • Willingness to work co