Conexess
Data Analyst- SQL, Databricks, Tableau (HYBRID Raleigh, NC)
Conexess - Raleigh
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Overview
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Overview
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:
** 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.
- 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