Conexess
Data Analyst- SQL, Databricks, Tableau (HYBRID Raleigh, NC)
Conexess, Raleigh, North Carolina, United States, 27601
Conexess Group is aiding a large healthcare client in their search for a Data Analyst in a hybrid capacity. This is a long-term opportunity with a competitive compensation package.
** This is a hybrid position requiring 3 days onsite in Raleigh, NC **
Please note we are unable to provide sponsorship or work c2c for this role
Responsibilities:
Works with internal customers and Business partners to develop and analyze business intelligence needs. Conduct analyses across various data domains such as medical claims, pharmacy claims, eligibility, etc. Create data models by importing data from various sources, cleaning, and transforming Create dashboards and reports that present data in a visually compelling way Troubleshoot and improve existing BI systems Communicate effectively with both business partners and data SME's. Participates in work stream planning process including inception, technical design, development, data model, testing and delivery of BI solutions. Collaborate cross functional teams and work on multiple tasks/projects as team member. Provides design support for the development of business intelligence solutions. Ensure Quality/Integrity of data by comparing source data and target data Desire to learn LLM(s) and Generative AI could be a plus. Requirements:
6+ years of professional experience in SQL 5+ years of professional experience in building visualizations, dashboards and reports using BI Tools (e.g. Tableau, ThoughtSpot, Power BI, Looker etc) Expereince with technologies such as Databricks, Snowflake, Teradata, AWS, Python, PySpark, Tableau, PowerBI, Github and Excel. 5+ years hands-on experience working in an agile project delivery environment. Healthcare experience a plus, preferably focused on experience with CCW or data warehousing Defining and documenting requirements Ability review and analyze code to help decode or research data issues using technologies such SQL, Python, Databricks and AWS etc. Strong requirements analysis skills with data experience Proficiency in statistical analysis, predictive modeling, and machine learning algorithms #LI-MW1
** This is a hybrid position requiring 3 days onsite in Raleigh, NC **
Please note we are unable to provide sponsorship or work c2c for this role
Responsibilities:
Works with internal customers and Business partners to develop and analyze business intelligence needs. Conduct analyses across various data domains such as medical claims, pharmacy claims, eligibility, etc. Create data models by importing data from various sources, cleaning, and transforming Create dashboards and reports that present data in a visually compelling way Troubleshoot and improve existing BI systems Communicate effectively with both business partners and data SME's. Participates in work stream planning process including inception, technical design, development, data model, testing and delivery of BI solutions. Collaborate cross functional teams and work on multiple tasks/projects as team member. Provides design support for the development of business intelligence solutions. Ensure Quality/Integrity of data by comparing source data and target data Desire to learn LLM(s) and Generative AI could be a plus. Requirements:
6+ years of professional experience in SQL 5+ years of professional experience in building visualizations, dashboards and reports using BI Tools (e.g. Tableau, ThoughtSpot, Power BI, Looker etc) Expereince with technologies such as Databricks, Snowflake, Teradata, AWS, Python, PySpark, Tableau, PowerBI, Github and Excel. 5+ years hands-on experience working in an agile project delivery environment. Healthcare experience a plus, preferably focused on experience with CCW or data warehousing Defining and documenting requirements Ability review and analyze code to help decode or research data issues using technologies such SQL, Python, Databricks and AWS etc. Strong requirements analysis skills with data experience Proficiency in statistical analysis, predictive modeling, and machine learning algorithms #LI-MW1