Analytics Data Specialist

**Role Overview:** As an Analytics Data Specialist / Data Enablement Specialist at Zelis, you will play a crucial role in developing and maintaining analytics-ready data assets, taxonomies, and hierarchies that power BI dashboards, provider insights, and the Insights Hub. Your responsibilities will include partnering with BI Developers, Data Analysts, and Tech Product Analysts to translate business and product needs into well-structured data models and semantic layers. Additionally, you will be responsible for creating and optimizing dbt transformations and Snowflake data marts to support standardized KPIs, reusable metrics, and consistent reporting. Your role will involve collaborating with product and business stakeholders to drive metadata, lineage, and business definitions, ensuring accuracy, reliability, and timeliness of curated data for downstream analytics and visualization. **Key Responsibilities:** - At least 5 years of experience in designing and developing Data Pipelines & Assets. - Must have experience with at least one Columnar MPP Cloud data warehouse (Snowflake/Azure Synapse/Redshift) for at least 3 years. - Experience in ETL tools like Azure Data factory, Fivetran / DBT for 2 years. - Develop and maintain analytics-ready data assets, taxonomies, and hierarchies that power BI dashboards, provider insights, and the Insights Hub. - Partner with BI Developers, Data Analysts, and Tech Product Analysts to translate business and product needs into well-structured data models and semantic layers. - Create and optimize dbt transformations and Snowflake data marts that support standardized KPIs, reusable metrics, and consistent reporting. - Support Data Intelligence outcomes by ensuring accuracy, reliability, and timeliness of curated data for downstream analytics and visualization. - Collaborate with product and business stakeholders to define metadata, lineage, and business definitions, embedding them into DI workflows. - Ensure data quality, reconciliation, and validation processes are in place to improve trust and adoption of Insights Hub deliverables. - Document solution flows, mappings, and knowledge artifacts, enabling transparency, governance, and reusability across the DI team. - Participate in Agile processes (sprint planning, backlog grooming, reviews) to deliver DI priorities with clear business alignment. - Contribute to data governance initiatives, including the creation of controlled vocabularies, KPI catalogs, and reusable templates. - Stay current with healthcare data standards and regulatory needs (HIPAA, ACA, CMS) to ensure compliant, domain-aware DI solutions. **Qualifications:** - Bachelor's degree in Computer Science, Statistics, or a related field. - Self starter & learner. - 4-6 years of experience in data modeling, analytics engineering, or BI-enablement roles. - Proficiency with Snowflake and dbt for developing analytics-ready datasets and reusable transformations. - Strong skills in SQL for creating data marts, KPIs, and optimized queries. - Working knowledge of data governance concepts (lineage, cataloging, controlled vocabularies). - Exposure to BI tools (Sigma BI, Power BI, Tableau) and an understanding of how semantic data layers fuel dashboards and insights. - Familiarity with Agile tools (Jira, Confluence) and collaborative workflows. - Strong documentation, communication, and requirement-gathering skills to align technical outputs with DI outcomes. - Experience working with large, complex datasets in cloud data ecosystems. (Additional details of the company omitted as it was not explicitly mentioned in the provided Job Description),