MI Developer | Data Management Expert
2 months ago
About Markerstudy Group
Markerstudy Group is a leading provider of insurance solutions in the UK, serving a diverse range of clients across personal and commercial sectors. With a strong reputation for innovation and customer service, we partner with prominent brands to deliver comprehensive insurance products and services.
Role Purpose
As an MI Developer, you will play a pivotal role in shaping our data-driven decision-making processes. Working closely with the Head of MI Development, you will be responsible for building, maintaining, and enhancing our MISL data warehouse. Your expertise in data modeling, transformation, and ETL processes will enable us to extract valuable insights from complex datasets.
Key Responsibilities
- Collaborate with the Head of MI Development to design, develop, and optimize our MISL data warehouse infrastructure.
- Model and transform data from diverse sources to ensure seamless integration and support business intelligence initiatives.
- Proactively identify opportunities to leverage data for strategic decision-making and operational improvements.
- Support the ongoing migration to SAS Viya and explore innovative technologies to enhance ETL efficiency.
- Continuously evaluate data processing workflows, identifying areas for optimization and performance enhancement.
- Champion data governance principles and best practices throughout the organization.
- Contribute to the development and implementation of strategies for maintaining high data quality standards.
- Assist in resolving data-related issues by identifying root causes and implementing sustainable solutions.
- Support data risk management activities, including prioritization and reporting.
- Ensure the timely and reliable execution of daily data processing tasks.
Essential Skills
- Proven experience in a data warehousing or business intelligence role.
- Strong proficiency in SAS programming and SAS Macro development.
- Expertise in SAS DI Studio and Enterprise Guide.
- Solid understanding of data modeling techniques.
- Experience with ETL concepts and data warehousing methodologies.
- Knowledge of data quality management principles.
- Advanced Excel skills.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to effectively convey technical information to non-technical audiences.
- Ability to thrive in a fast-paced environment and adapt to changing priorities.
- Highly organized and detail-oriented, with a commitment to meeting deadlines.
Desirable Skills
- Experience with SAS Viya.
- Familiarity with SAS Visual Analytics.
- Knowledge of SQL Server.
- Experience with Apache Airflow.
- Experience using MS Dev Ops for workflow and CI/CD pipelines.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
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