The Senior Data Modeler is primarily responsible for defining business
data requirements and translating those data requirements into logical
and physical database models. The design of the database models will
include operational databases, analytical data warehouses, and specific
data marts designed to support batch, operational, and analytical
processing and ad hoc business reporting.
Must have Excellent communication skills
QUALIFICATIONS (KNOWLEDGE, EXPERIENCE, SKILLS AND ABILITIES REQUIRED:
Bachelor's Degree with a major in Computer Science, Business Data
Processing, Computer Information Systems or related field is required.
Minimum three - five (3-5) years data modeling experience.
Minimum three - five (3-5) years Relational database (Sybase or Oracle)
experience (SQL scripts, stored procedures, triggers, etc.).
Three to five years experience with Unix/AIX preferred.
Data modeling, Oracle database, and Unix/AIX experience can be concurrent.
One to three years Database Administration experience including
tuning/optimization and monitoring (preferred).
Health care insurance systems experience (preferred; especially member,
provider, claims, and accounting subject areas).Health care insurance
systems experience (preferred; especially member, provider, claims, and
accounting subject areas).
Understanding of Business Intelligence architectures.
Experience working with business and IT teams.
Experience in clarifying requirements and participating in analysis
sessions with the user community.
Strong knowledge of relational and multi-dimensional database architectures.
Knowledge of database lifecycle design and application development.
Ability to work with the appropriate business users to define data
requirements.
Data analysis/profiling and reverse engineering of data.
Ability to work with other team members to design and maintain a
corporate data architecture that will allow the data warehouse to evolve
with the business.
Define and maintain corporate metadata definitions for all reporting
databases (data stores and data marts) within a metadata repository.
Define and maintain data dictionary.
Develop, integrate, manage and promote enterprise level logical and
physical data models and data model standards that source data from
multiple origins (internal data sources, external data sources, third
party data, etc.).
Develop Business/Subject Area Logical Data Models, Data Flow Diagrams.
Develop detailed mapping documents that will provide the reporting and
data warehouse team with source to target data mapping which will
include logical names, physical names, data types, corporate meta-data
definitions, and translation rules.
Ability to work with other subject matter experts to develop data
storage strategies to support company needs.
Define, develop, and implement joint data testing strategies with the
business and IT QA.
Directs quality control and auditing to ensure accurate and appropriate
use of data.
Perform data analysis on production data issues.
Must be team-oriented and able to communicate effectively with all
levels of staff and management.
Excellent verbal and written communications skills with the ability to
express oneself recognizing that communication is more than just
language - it includes tone, style and structure.
Able to read and interpret documents including process, procedure, and
technical manuals.
Excellent organizational skills with the ability to work effectively on
multiple priorities with firm deliverable dates.
Able to work effectively with minimal supervision.
Proven experience working in a fast-paced, dynamic environment.
Active pursuit of continued technical expertise through independent
study and formal education.
Participate in vendor/in-house offered technical training and seminars
as directed by Client IT Management.
Ability to travel if necessary for work or training.
Ability to quickly locate and analyze data.
Knowledge of database management structures (relational, hierarchical,
distributed and associated platforms.
Knowledge of tools, techniques and practices for efficient and effective
design and support of physical databases.
Understand tuning concepts, such as query plan, indexes, and statistics.
Ability to manage multiple concurrent objectives, projects, groups of
activities. Effective judgment in prioritizing and time allocation.
Knowledge of approaches, tools and techniques for working with
individuals and groups in a constructive and collaborative manner.
Knowledge and ability to use and administer company technology
practices, standards and procedures.
Knowledge of and ability to use office support tools available at the
desktop (for example: word processing, e-mail, presentation software and
spreadsheets).
Knowledge of practices, behaviors, applicable laws, rules and
regulations governing proper business conduct.
Additional Skills and Abilities a Plus:Application development experience
Business Objects XI,,Brio
TWS batch scheduling tool
Informatica Power Center, Informatica Power Exchange
Data quality tools
System Architect
Sybase database experience including querying tools such as SQL Advantage
Sybase Replication
PVCS
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Gather and document business requirements, translate business
requirements to technical specifications, project estimating support and
identifying cost implications.
Create, document, and maintain logical and physical database models.
Mentor application development team and assist developers with complex
query development and performance optimization.
Proactive monitoring of system performance and diagnostics.
Assist with production support and maintenance.
Sriram
--
Introduce business in 3800 cities. How?
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