Data Technical Analyst Lead HCV 6205536

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Key Responsibilities:

In this role you will work with stakeholders of a health care insurance payer to gather business requirements for initiatives. You will collaborate with the business to convert business requirements into data requirements, defining source, target, transformation, and other ETL pipeline requirements for data movement. You will analyze data scenarios in target data layers before developing functional requirements and account for all data scenarios.

You will logically separate initiative requirements into multiple features and releases, ensure specification documentation remains up to date for a given subject area, and work with Product Owners to provide guidance on business expectations, risks, and issues. You will also partner with Data Engineers to resolve questions during planning sessions and ensure code and design quality are maintained for ETL processes.

You must be proficient in health care payer terminology with a strong ETL background. Strong experience in data analysis, data profiling, and SQL is required. Knowledge of ETL tools such as Ab Initio, Informatica, or equivalent technologies is preferred. Familiarity with Facets is also helpful.

Work is on East Coast time zone.