Informatics Data Analyst | Onsite

Informatics Data Analyst 

Los Angeles, CA

12+ Months 



Job Details:-

An Informatics Data Analyst works independently to document external data acquisition policies and procedures as well as interface with other business units to define and document data needs and ad-hoc analysis requirements

Identify business practice workflow and process issues and concerns

The Informatics Data Analyst will develop, implement, organize, and maintain information and reports to document operational and financial performance; collaborate with the quality team, administrators, etc., 

to design the ad hoc and other relevant routine reports, monitor the quality programs and make efforts to improve them

Compile data from multiple sources and import the data into the relevant database; select appropriate tools and methods to maintain the existing programs that ensures there is appropriate transfer of data and that all the reports are documented well to increase the efficiency



Skills Required:

The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills

Ability to handle multiple tasks; and problem solving and troubleshooting skills.



Experience:

Experience in processing, management, and retrieval of information.

Experience in writing, troubleshooting, and optimizing complex Transact-SQL and PL/SQL codes.



Experience in investigating and resolving data anomalies through root cause analysis, using a variety of analytical tools and methods such as comparing results using Excel, Tableau, and other ETL processors.



Constructing complex data models for business intelligence solutions, and developing dashboards and reports with data visualization tools like Tableau and Business Objects.



Implementing data transformations, cleansing, and normalization best practices, as well as utilizing abstraction and inheritance programming concepts to ensure high-quality data solutions.



Experience in eliciting and documenting user requirements for large, highly complex new systems or system enhancements, ensuring comprehensive documentation of both functional and technical requirements, and effectively translating technical tasks for a non-technical audience.



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