Senior Data Modeler Opportunity At Experian | Career And Job Details

Are you a seasoned data professional looking for a challenging and rewarding opportunity? Experian, a global leader in information services, is actively seeking a talented Senior Data Modeler to join their dynamic team. This is an exciting chance to contribute to a company that empowers consumers and organizations with data-driven insights. If you possess a passion for data, a knack for building robust data models, and a desire to make a real-world impact, then this could be the perfect role for you.

Why Experian?

Before we delve into the specifics of the Senior Data Modeler position, let's take a moment to understand why Experian is a great place to work. Experian is a global data and analytics company, operating in over 40 countries. They help individuals take financial control and access financial services, businesses make smarter decisions and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. Experian's mission is to create a better tomorrow for people and organizations.

Experian is committed to innovation, constantly evolving to meet the changing needs of their clients and the market. They invest heavily in technology and talent, fostering a culture of continuous learning and growth. This dedication to innovation translates into exciting opportunities for their employees to work on cutting-edge projects and develop their skills.

Experian offers a comprehensive benefits package, competitive salaries, and opportunities for professional development. They value diversity and inclusion, creating a workplace where everyone feels valued and respected. Employees at Experian are encouraged to share their ideas, collaborate with colleagues, and make a meaningful contribution to the company's success. Experian also promotes work-life balance, understanding the importance of personal well-being.

The Role of a Senior Data Modeler at Experian

As a Senior Data Modeler at Experian, you will play a critical role in designing and implementing data solutions that support the company's strategic objectives. You will be responsible for developing and maintaining conceptual, logical, and physical data models, ensuring data quality, and optimizing data performance. This role requires a deep understanding of data modeling principles, database technologies, and data warehousing concepts. Key responsibilities of a Senior Data Modeler at Experian typically include, but are not limited to:

• Data Model Design and Development: This core responsibility involves creating and maintaining data models that accurately represent the organization's data assets. You'll be working with stakeholders to understand their data requirements and translating those requirements into effective data models. This includes conceptual data models that provide a high-level overview of the data, logical data models that define the relationships between data entities, and physical data models that specify how the data will be stored in a database. Your expertise will ensure that the data models are scalable, efficient, and aligned with business needs. The process involves a thorough understanding of various data modeling techniques, such as relational modeling and dimensional modeling. A successful Senior Data Modeler is proficient in using data modeling tools and methodologies to create clear and concise data models that are easy to understand and implement.
• Data Analysis and Requirements Gathering: To build effective data models, a Senior Data Modeler must be adept at data analysis and requirements gathering. This involves working closely with business users and stakeholders to understand their data needs and how they plan to use the data. You will conduct interviews, workshops, and other meetings to gather information about data sources, data flows, and data quality requirements. You'll analyze existing data systems and processes to identify areas for improvement and ensure that the new data models meet the evolving needs of the organization. This critical step ensures that the data models are aligned with business objectives and provide the foundation for accurate and reliable data insights. A strong understanding of business processes and data governance principles is essential for success in this aspect of the role.
• Database Design and Optimization: The Senior Data Modeler works closely with database administrators and developers to implement the physical data models in database systems. This involves designing database schemas, tables, indexes, and other database objects to ensure optimal data storage and retrieval. You will also be responsible for optimizing database performance by identifying and resolving performance bottlenecks. This requires a deep understanding of database technologies, such as SQL Server, Oracle, or cloud-based database solutions. The Senior Data Modeler will collaborate with the database team to ensure that the database environment supports the data models and meets the performance requirements of the applications and users. This involves understanding query optimization techniques, data partitioning strategies, and other database performance tuning methods.
• Data Quality and Governance: Maintaining data quality is paramount in any data-driven organization. As a Senior Data Modeler, you will play a key role in ensuring the quality and integrity of the data. This involves defining data quality rules and standards, implementing data validation processes, and monitoring data quality metrics. You will also work with data governance teams to establish data governance policies and procedures. This ensures that data is accurate, consistent, and reliable, which is essential for making informed business decisions. The Senior Data Modeler will contribute to the development of data dictionaries and metadata repositories to document the data models and data elements. A strong understanding of data quality principles and data governance frameworks is crucial for this aspect of the role.
• Collaboration and Communication: Data modeling is a collaborative effort that requires effective communication and interpersonal skills. The Senior Data Modeler will work with a variety of stakeholders, including business users, data analysts, database administrators, and developers. You will need to communicate complex technical concepts in a clear and concise manner, both verbally and in writing. This involves creating data model diagrams, documentation, and presentations to communicate the data models to different audiences. You will also participate in meetings and workshops to gather requirements, provide updates, and address any issues. Strong communication skills are essential for building consensus and ensuring that the data models meet the needs of all stakeholders.

What Experian is Looking For

Experian seeks a highly motivated and experienced Senior Data Modeler with a strong technical background and a passion for data. The ideal candidate will possess a combination of technical skills, analytical abilities, and communication skills. While specific requirements may vary depending on the specific role and team, generally, Experian looks for candidates with the following qualifications:

• Experience: Typically, Experian requires a minimum of 5-7 years of experience in data modeling, database design, and data warehousing. This experience should include working with relational and dimensional data models, as well as various database technologies. The ideal candidate will have a proven track record of successfully designing and implementing data solutions in complex environments. Experience in the financial services industry or a similar industry is often preferred. Candidates should be able to demonstrate their ability to lead data modeling efforts and work independently as well as part of a team. Prior experience in a senior data modeling role is highly valued.
• Technical Skills: A deep understanding of data modeling concepts and techniques is essential. This includes experience with various data modeling methodologies, such as ER modeling, dimensional modeling (star schema, snowflake schema), and object-oriented modeling. The Senior Data Modeler should be proficient in using data modeling tools, such as ERwin, PowerDesigner, or similar tools. Strong SQL skills are also required, as well as experience with database technologies like SQL Server, Oracle, or cloud-based databases (e.g., AWS, Azure, GCP). Experience with data warehousing technologies, such as data lakes and data marts, is also highly desirable. The candidate should be comfortable working with large datasets and complex data structures.
• Analytical Skills: The ability to analyze data requirements and translate them into effective data models is crucial. The Senior Data Modeler must be able to understand business processes and data flows, identify data quality issues, and propose solutions. This requires strong analytical and problem-solving skills. Candidates should be able to work with business stakeholders to gather requirements, conduct data analysis, and validate data models. They should also be able to identify potential performance bottlenecks and optimize data models for performance. A strong analytical mindset is essential for ensuring that the data models meet the needs of the business and provide accurate and reliable data insights.
• Communication Skills: Effective communication is essential for collaborating with stakeholders and communicating technical concepts. The Senior Data Modeler must be able to communicate clearly and concisely, both verbally and in writing. This includes creating data model diagrams, documentation, and presentations to communicate the data models to different audiences. Candidates should be comfortable presenting their ideas and recommendations to technical and non-technical audiences. They should also be able to facilitate meetings and workshops to gather requirements and address any issues. Strong interpersonal skills are also important for building relationships with stakeholders and working effectively as part of a team.
• Education: A bachelor's degree in computer science, information systems, or a related field is typically required. A master's degree is often preferred. Candidates with relevant certifications in data modeling or database technologies may also be given preference. A strong educational background provides the foundation for understanding data modeling concepts and techniques, as well as database technologies and data warehousing principles. Continuous learning and professional development are also important for staying up-to-date with the latest trends and technologies in the field of data modeling.

How to Apply

If you are excited about the opportunity to join Experian as a Senior Data Modeler, we encourage you to apply! You can find the job posting on Experian's career website or through various job boards. Be sure to carefully review the job description and requirements to ensure that your skills and experience align with the role. When applying, highlight your relevant experience, technical skills, and analytical abilities. Showcase your accomplishments in previous data modeling projects and emphasize your passion for data.

Experian is an equal opportunity employer and values diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

In Conclusion: Take the Next Step in Your Data Modeling Career with Experian

The Senior Data Modeler position at Experian is a fantastic opportunity for experienced data professionals to advance their careers and make a significant impact. You'll be working with cutting-edge technologies, collaborating with talented colleagues, and contributing to a company that is committed to innovation and data-driven decision-making. If you have a passion for data, a strong technical background, and a desire to work in a challenging and rewarding environment, then we encourage you to apply for this exciting opportunity at Experian. Take the next step in your data modeling career and join the Experian team!