Senior Data Analyst at PBT Group

Key Responsibilities:

Data Management:

• Structure data to meet compliance standards by adhering to metadata governance procedures.
• Manage transformed data content according to prescribed standards for reviewing and publishing.
• Assist in the population of data marts and metadata repositories, ensuring adherence to standards and processes.
• Maintain project data models across multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, etc.).
• Provide detailed analysis and data mapping for each data item, ensuring accurate information supports business requirements.

Business Intelligence Support:

• Provide consulting services to business units, delivering relevant data and information.
• Analyse business requirements from documents and end-user discussions.
• Identify data requirements, security needs, and business rules associated with data.
• Perform data profiling of source systems and detailed analysis of implemented data.
• Support business units with ad-hoc reporting and ongoing data analysis.

Stakeholder Management:

• Engage with internal and external stakeholders to gather requirements and provide status updates.
• Present data quality issues and resolutions to business users and source system owners.
• Facilitate requirements gathering workshops and collaborate with stakeholders to define data needs.
• Communicate project data-related information to architects, DBA’s, developers, and users.

Process Improvement:

• Continuously identify opportunities for innovation and process improvement.
• Ensure data quality, accuracy, and integrity, complying with governance frameworks.
• Transition information and assist DBA’s with physical data model implementation.
• Support data migration and testing, ensuring the effectiveness of data solutions.

Skills & Experience Required:

Technical Skills:

• Proficiency in SQL and experience with relational databases.
• Strong knowledge of data profiling, data quality management, and data mapping.
• Experience with data warehousing, ETL processes, and business intelligence tools.
• Hands-on experience in building conceptual data models.
• Familiarity with data migration projects and NoSQL environments is advantageous.

Industry Experience:

• Minimum of 5 years’ experience in data analysis, with at least 3 years in insurance or financial services.
• Experience in managing data within a highly regulated environment.
• Prior experience in working with complex data sets and supporting business intelligence initiatives.

Analytical & Problem-Solving Skills:

• High competency in problem-solving and data analysis.
• Ability to translate business requirements into technical specifications.
• Strong analytical skills to interpret complex data sets and identify trends or patterns.

Communication & Stakeholder Engagement:

• Effective communication skills, both written and verbal.
• Ability to engage with stakeholders at all levels and translate complex data concepts.
• Strong customer service orientation and collaborative interpersonal style.