Data Analyst/Data Modeler

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required

Skills

Data Analysis
Data Management
Systems Analysis
Snowflake
Big Data
Data Warehousing
Mentoring
Machine Learning
Requirements Analysis
Data Architecture
Communication Skills
Functional Design
Self Motivation
Oracle SQL Developer
Leadership
Stakeholder Management
Extract Transform Load (ETL)
User Requirements Documents
Data Modelling
Stock Control
Technical Management
Demonstration Skills
Administrative Operations
Hard Work and Dedication
Team Working
Relational Databases
Design Specifications
Database Design
Enterprise Data Management
Filing Skills
Knowledge of Statistics
Oracle Applications
Oracle Cloud Infrastructure
Predictive Data Analysis
Quantitative Analysis
Flowcharts
Physical Data Models

Job Details

Title: Sr. Data Analyst/Data Modeler

Location: Sacramento, CA (Mon & Wed/ 2 Days Onsite)

Duration: 12+ Months    

Client: Loblolly/State of CA  

 

DESCRIPTION:

Requirements:

·      Senior, hands-on data modeler with strong communication skills.

·      Expert level command of ER/STUDIO Data Architect modeling application

·      Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders

·      Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision

·      Ability to translate business and functional requirements into technical requirements for technical team members.

·      Candidate needs to be able to demonstrate, direct hands-on recent practical experience in the areas identified with specific examples.

Key Duties/Responsibilities:

·      Performs business and systems analysis and documentation

·      Develops conceptual, logical, and physical relational data models for the enterprise data warehouse

·      Experience with large data warehouse implementation projects

·      Performs data modeling in relational and dimensional models

·      Develops physical data model and/or works with architect to develop physical data model

·      Ability to expertly develop Data Facts and Dimensions in the EDW

·      Provides documentation to support the Kimball Dimensional Data Modeling Framework, as necessary

·      Visualizes and designs the enterprise data management framework: specifies processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data

·      Documents data flow diagrams in existing and future reports to use as input in report design and optimization

·      Develops Requirements Specifications

·      Develops Design Specifications

·      Performs data analysis/predictive data modeling

·      Mentors and educates team members on best practices and industry standards

Qualifications:

Mandatory:

·      Minimum of ten (10) years demonstrable experience in the data management space with at least 5 years specializing in database design

·      Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as researcher or data engineer supportive of key duties/responsibilities identified above.

·      Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application

·      Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning supportive of key duties/responsibilities identified above.

·      Excellent communication and collaboration skills to work effectively with stakeholders and team members.

·      At least 2 years experience working on Star, Snowflake, and/or Hybrid schemas

Desired:

·      At least 2 years experience working on Oracle Autonomous Data Warehouse (ADW) specifically installed in an OCI environment.

·      Expert level Kimball Dimensional Data Modeling experience

·      Expert level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.

·      Ability to develop and perform Extract, Transform and Load (ETL) activities using Oracle tools with at least 2 years experience.Ability to perform technical leadership of a Oracle data warehouse team including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.