Data Analyst Associate (Facets And Salesforce)

• Responsible for supporting data analysis, transformation, validation, and integration activities across enterprise systems.
• The role involves working closely with business analysts, developers, architects, and business users to develop data models, ETL processes, and data integration frameworks while ensuring accurate data movement and reporting solutions.

Requirement/Must Have:

• Strong understanding of SQL and database concepts.
• Experience with data analysis, validation, and transformation.
• Knowledge of ETL processes and data integration concepts.
• Understanding of database design and implementation.
• Strong analytical and problem-solving abilities.
• Ability to work with cross-functional technical and business teams.
• Excellent written and verbal communication skills.

Experience:

• Bachelor s degree in Information Technology, Computer Science, Engineering, or related field required.
• Additional relevant work experience may be considered in lieu of degree requirements.
• Experience supporting data analysis and ETL development preferred.
• Experience working with enterprise data systems and integration frameworks preferred.

Responsibilities:

• Analyze and validate existing routines and communicate impacts to stakeholders.
• Assist with data transformation, manipulation, and presentation activities.
• Collaborate with Business Analysts, BI Developers, Infrastructure Architects, and business users to design and develop data models and ETL processes.
• Support Software Engineering teams with data analysis and validation using complex SQL queries.
• Write and execute ETL code including SQL stored procedures and related technologies.
• Partner with senior team members on the design, configuration, and implementation of data integration frameworks.
• Support data movement, validation, and reporting processes across enterprise systems.

Should Have:

• Knowledge of programming languages such as SQL, NoSQL, or Python.
• Understanding of data exchange formats and integration methods.
• Familiarity with enterprise data integration frameworks.
• Experience with healthcare or enterprise systems such as Facets or Salesforce preferred.

Skills:

• SQL and database querying.
• ETL development and data integration.
• Data transformation and validation.
• Database design concepts.
• Data movement and reporting.
• Problem-solving and analytical thinking.
• Communication and collaboration.
• Data modeling and process support.