Analytics Specialist

Deliverable 1: Design Develop and Maintain Relational Cloud-Based Power BI and AI/ Machine Learning-Specific Data Models.
The consultant will design develop and maintain data models tailored to meet the organizations needs. This includes creating relational data models to support traditional reporting and analytics as well as cloud-based data models leveraging modern architectures to enable scalability performance and efficient data processing. The consultant will also optimize Power BI data models to ensure fast reliable and user-friendly reporting and visualization. Additionally the consultant will develop AI/Machine Learning-specific data models to support advanced analytics workflows including feature engineering data preparation and integration with AI/ML tools. These models will be designed to align with the organizations business objectives ensuring data accuracy consistency and usability across all platforms.

The consultant will also be responsible for publishing data models to the appropriate platforms ensuring they are accessible secure and optimized for use by stakeholders. This includes publishing models to cloud environments Power BI and other relevant systems as required. Comprehensive documentation will accompany all data models detailing their structure purpose and usage. The documentation will include data dictionaries entity- relationship diagrams and step-by-step instructions for maintaining and updating the models. This ensures that the models are transparent easy to understand and can be effectively utilized by both technical and non-technical users.

The consultant will provide support for the date modeling product upgrade as required and work on updating the date modeling documentation to keep the procedures current.

Deliverable 2: Knowledge Transfer
The consultant will conduct regular training sessions tailored to the skill levels of our team members. These sessions will focus on:

Key concepts and tools related to cloud-based data modeling Power BI and AI/ML.
Q&A sessions to address specific challenges or questions from the team.

Training will be designed to build confidence and competence enabling team members to take ownership of the systems and processes.

The consultant will also work closely with our existing team members throughout the engagement fostering a collaborative environment where knowledge sharing is a core focus. This hands-on approach ensures that team members are actively involved in the design development and maintenance of the data models rather than being passive observers. By embedding team members in the process they will gain practical real-world experience under the guidance of the consultant.

Roles/Responsibilities:

• Data Modeling and Design Develop and maintain traditional data models for relational databases; Design application-supporting data models using advanced methodologies such as relational modeling medallion architecture and data modeling for cloud environments; Create data models tailored for artificial intelligence machine learning use cases specific to CalPERS needs.
• Tool Proficiency Utilize Erwin Data Modeler software to design and maintain data models; Utilize Power BI to model data for visualization and analytics.
• Publishing and Documentation Support publishing and maintenance of data models on the CalPERS intranet for organizational access; Create document and maintain analytical models to ensure data literacy and usability by business users.
• Knowledge Transfer Provide data modeling knowledge transfer sessions to ITSB team members and key business stakeholders ensuring they understand and can apply relevant concepts and practices and take ownership of all models created by the contractor. Advise the development and maintenance of data models by state staff.