Job Description

Our client is looking for a Data Analyst II to join their team! The Data Analyst II will be responsible for collecting, analyzing, and interpreting large datasets to generate insights and reports that inform business decisions, with a focus on advanced data manipulation and analysis techniques compared to a Data Analyst I, often collaborating with cross-functional teams to identify trends, opportunities, and potential issues within the operations.

Responsibilities:

• Work with cross functional departments to ensure system is ready for testing scenarios to be keyed.
• Validate the integrity of claims data in the claims and payments UAT systems.
• Track all testing defects and the status of the defect resolution through re-testing.
• Analyze and document clear and concise testing results so there is a smooth transition to claims and payments production systems.
• Maintain effective, on-going communication within Claims Testing Team and other key departments.

Responsibilities include:

• Data Collection and Cleaning: Extract, transform, and load data from multiple sources, including ERP systems, CRM, and other internal databases, ensuring data quality and accuracy through cleansing and validation processes.
• Advanced Analysis: Utilize statistical methods, data visualization tools, and predictive modeling techniques to identify patterns, trends, and correlations within the data to generate actionable insights.
• Reporting and Visualization: Develop comprehensive reports and dashboards to effectively communicate key metrics and insights to stakeholders including leadership teams.
• Project Management: Lead data analysis projects from initiation to completion, including defining project scope, data requirements, analysis methodologies, and timelines.
• Business Impact Analysis: Translate data insights into actionable recommendations to optimize operations, improve efficiency, and drive cost savings.
• Collaboration: Work closely with cross-functional teams, including finance, operations, and customer service, to understand their needs and provide data-driven solutions.

Top skills you need to have:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
• 2-4 years of experience as a data analyst with proficiency in data manipulation and analysis tools (e.g., SQL, Python, Tableau, Power BI)
• Strong analytical skills with the ability to interpret complex data sets and draw meaningful conclusions
• Excellent communication skills to present findings to both technical and non-technical audiences
• Experience with data warehousing concepts and data modeling is a plus
• Familiarity with business processes within a shared services environment is beneficial

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