- Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets.
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
- Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models.
- Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models.
- Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, data lakes, and data flows.
- Define and govern data modeling and design standards, tools, best practices, and use these standards to identify and resolve data modeling issues and conflicts.
- Conduct performance tuning and optimization of data models for efficient data access and retrieval.
- Identify the architecture, infrastructure, and interfaces to data sources, analytic models, and data visualization.
- Incorporate core data management competencies, including data governance, data security and data quality.
- Evaluate data models for variances, discrepancies to improve efficiency and aligning with standards.
- Review existing source systems or database to reverse engineer into data models.
- Expert knowledge of data modeling concepts, methodologies, and best practices.
- Proficiency in data modeling tools such as Erwin or ER/Studio.
- Knowledge of relational databases and database design principles.
- Experience with data warehouse, data lake, and enterprise data platforms in Cloud technologies is preferred.
- Experience in data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, or R is desired.
- Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models.
- Excellent analytical and problem-solving skills to identify and resolve data modeling issues.
- Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders.
- Work proactively to address project requirements and articulate issues/challenges to reduce project delivery risks.
- At least three years of experience in data modeling, database design, or related field
- Hands-on relational, dimensional, and analytical project experience using RDBMS, data platform technologies, ETL and data ingestion protocols.
- Must be available to work emergency restoration assignment as required.
- Must be available to travel between MA/CT/NH as necessary.
- Know the business plan and how your role connects to it
- Identify problems, issues; take responsibility for resolution
- Set high standards for self; deliver quality performance
- Raise ideas for improvement
- Communicate, communicate, communicate
- Follow through on commitments made to manager, colleagues, and customers.
- Address difficult or controversial issues and encourage others to do the same.
- Have honest dialogue with others
- Set performance goals that align with department and company goals
- Meet regularly with your supervisor/manager to discuss your performance
- Seek opportunities to develop skills and gain knowledge through on the job opportunities, i.e. working on projects, attending meetings, etc.
- Work collaboratively within and across the organization to achieve "One Company" and other goals
- Recognize and address cross functional implications of your work
- Incorporate the diverse ideas and perspectives of team, colleagues, and customers in your work
- Proactively seek out opportunities to improve business performance and customer service.
- Respond positively to new demands or circumstances
- Exhibit a "can-do" attitude to support changes in priorities and work processes
- Deliver superior service to our customers, both internal and external, in a reliable, attentive, courteous, quality, proactive and timely manner
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IT Data Modeler - Westwood, United States - Eversource Energy
Description
IT Data Modeler (Hybrid)
This is a hybrid role. The first three months are fulltime in the office.
Our Team:
The IT Data Modeler plays a crucial role in designing, developing, and maintaining data models to support efficient data management and analytics within the organization. This role is essential in optimizing data architecture, translating business initiatives into robust data models, and enhancing data integrity, availability, and performance. The data modeler is responsible for developing conceptual, logical, and physical data models. The data modeler role is key to enabling business intelligence, artificial intelligence, machine learning, data science, data warehouse and other business interests.
Essential Functions:
Technical Knowledge/Skill/Education/Licenses/Certifications:
Technical Knowledge/Skill:
Education: A bachelor's degree in computer science, data science, software engineering, or related field.
Experience :
Licenses & Certifications: n/a
Working Conditions:
Mental Aspects :
Leadership Behaviors/Competencies:
Set and Communicate Direction and Priorities
Build Trusting Relationships
Manage and Develop People
Foster Teamwork and Cross-functional Collaboration
Create a Diverse, Inclusive Workforce
Lead Change
Focus on the Customer
Compensation and Benefits
Eversource offers a competitive total rewards program. The annual salary range for this position starts at $98,870.00 to $104,300.00, plus incentive. Salary is commensurate with your experience. Check out the career site for an overview of our benefits.
#corpajd
Worker Type:
Regular
Number of Openings:
1
EEO Statement
Eversource Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.
VEVRRA Federal Contractor
Emergency Response:
Responding to emergency situations to meet customers' needs is part of every employee's role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.