PBT Group Careers
Be part of our team of Data Specialists and embark on a career of the future!
Job Title
Senior Data AnalystEmployment Type
Full TimeExperience
8 to 20 yearsSalary
NegotiableJob Published
01 October 2024Job Reference No.
1118806556Job Description
PBT Group is seeking a Senior Data Analyst with at least 3 years of relevant experience within the insurance or financial services industry. The successful candidate will support and maintain the data warehouse in line with the data model and metadata repository, providing business intelligence analysis through strategic and operational support. This role requires a meticulous attention to detail and a deep understanding of data management practices, with a focus on driving business insights and supporting large-scale data projects.
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.
Additional Criteria:
- Governance & Compliance:
- Understanding of data governance frameworks and processes.
- Experience in ensuring data assets comply with governance and regulatory standards.
- Project Management:
- Knowledge of project management methodologies, including Agile.
- Experience in handling large-scale data projects, with a focus on quality and timelines.
Qualifications/Certification:
- Education:
- A degree in Computer Science, Information Systems, Business Administration, Commerce, or an equivalent field is preferred.
- Relevant data warehouse and BI solution training is essential.
- Certifications:
- Data Management (DAMA) Certification or similar data-related qualifications.
- Additional certifications in relevant technologies or project management would be advantageous.
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