NYC H+H Data Sciences team is seeking a Sr. Data Analyst with extensive pl/sql programming and extensive experience in building Oracle custom applications. In addition, the job requires analyzing data, troubleshooting data issues and have an aptitude for working with large volumes of data.
Daily Responsibilities Include (but are not limited to):
Strong analytical and problem solving skills, including a thorough understanding of translating business requirements into technical and reporting requirements.
Ability to breakdown complex business problems and workflows into meaningful components that are understandable by senior management, business, and technical teams
Ability to create and present effective process flow diagrams, business requirements documents and test cases
Ability to organize information and artifacts in an effective manner that will benefit the team
Ability to play an integral role in all project phases (end-to-end)
Hands-on experience with manual or automated testing environments
Strong skills working with MS Excel, MS Word, MS Power Point, Visio, & SharePoint
Minimum 6 years of business analysis and relational reporting tools.
Experience with data quality tools and working with relational databases and programming concepts: Preferred
Demonstrated understanding of complex SQL, stored procedures, and database functions
Fluent in creating user requirements documents and converting them into technical specification documents.
Experience in UAT environment for large scale database, reporting and ETL projects.
Outstanding organizational and time management skills; able to manage and prioritize multiple assignments
Soft Skills Desired:
Detailed oriented with strong organizational skills
Ability to work independently with little direction
Strong oral communication skills
Ability to define product benefits effectively to non- technical management
Bachelor’s Degree required; degree in Computer Science/Information Systems preferred
3 years of business analysis experience, of which at least 2 years in data analysis.
Two years of experience with automated data quality procedures for an enterprise database/data warehouse.
Familiarity with software development best practices.
Certifications with business analysis is desirable.
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