Data Analyst

Position: Data Analyst

Location: Woodland Hills, CA 91367

The Data Analyst will perform complex analysis in an evolving data environment. In addition to very strong technical skills, this position will have superb analytical and communication skills. The ability to extract and analyze data, pattern, and related trends is needed; with the subsequent ability to create and execute test plans/cases to ensure quality control standards are achieved.

Essential Job Functions:

Ability to understand and use computational theories and practical skills

Ability and knowledge for effectively interacting with data users, managers, and other stakeholders

Design, collect, analyze, and report on data quality assurance / production performance metrics

Maintain data standards, definitions, and models (e.g. data dictionary, organizational data model. This may also include any DQA documents such as checklists, guidelines, manuals, templates, forms, etc.)

Validate data loaded into the data warehouse and data marts for accuracy, completeness, consistency and validity

Develop, document, execute, and maintain technical test Cases and test data; Utilize testing tools, as required

Analyzes system and business requirements for testability

Reports status of test plan execution through defect logs / defect tracking system

Ensures that acceptance criteria are met

Analyzes Test Results; assists with troubleshooting and Root Cause Analysis; validates system design

Develops test plans, including test scenarios, test objectives, quality criteria and measurement techniques

Maintain well organized records of test results and generate historical analysis of test results

Education Requirement:

Bachelor’s degree in business, Statistics or computer science

Experience Requirements:

1-3 years of related experience is required

Special Skill Requirements:

Data Mining / Knowledge Discovery

Analytic Models

Advanced skills in SQL, SAS, Toad, MS Office, VISIO

Proficient skills in Business Object and Tableau

Strong understanding of data warehouse data marts